50+ Python Jobs in Pune | Python Job openings in Pune

Role & Responsibilities

Responsibilities

• Contribute to the development and optimization of enterprise-wide search systems and models.

• Design and implement algorithms to improve indexing, query relevance, and search accuracy.

• Support taxonomy, ontology, and metadata model creation for better search outcomes.

• Collaborate with business units (Loans, Insurance, Investments) to build AI-enabled search features.

• Conduct analysis of user behavior and system metrics to refine search performance.

• Work with engineers, product managers, and designers to deliver integrated search solutions.

• Develop production-grade ML systems for ranking, personalization, and recommendations.

• Participate in proof-of-concept initiatives with internal and external partners.

• Follow best practices in software engineering including CI/CD, testing, and monitoring.

• Keep abreast of emerging developments in AI/ML to apply them in practical solutions.

Ideal Candidate

Strong Data Scientist / AI Engineer / Machine Learning Engineer profiles.

Mandatory (Experience 1) – Must have minimum 5+ years of hands-on experience in Data Science, Machine Learning, Applied AI, NLP, Deep Learning, or Generative AI solutions.

Mandatory (Experience 2) – Must have strong hands-on experience in Python programming, SQL, data analysis, feature engineering, model development, and production-grade ML applications.

Mandatory (Experience 3) – Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, or equivalent.

Mandatory (Experience 4) – Must have hands-on experience working on NLP, embeddings, semantic search, text classification, document understanding, recommendation systems, or similar AI/ML use cases.

Mandatory (Experience 5) – Must have experience working with Large Language Models (LLMs) such as GPT, Llama, Mistral, Claude, Gemini, Phi, or similar foundation models.

Mandatory (Experience 6) – Must have hands-on experience building or implementing RAG (Retrieval Augmented Generation) systems, vector search, knowledge retrieval, embeddings, chunking, indexing, or semantic retrieval solutions.

Mandatory (Experience 7) – Must have experience working with Git, CI/CD practices, production environments, and scalable AI/ML systems.

Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

Mandatory (Age) - Candidate's Age should be below 30 Years

Preferred (Experience 1) – Experience with MLFlow, Kubeflow, Airflow, Prefect, Feature Stores, Model Registry, or MLOps/LLMOps frameworks.

Preferred (Experience 2) – Experience working with Vector Databases, Spark, PySpark, distributed ML pipelines, large-scale data processing, or real-time ML systems..

Preferred (Experience 3) – Familiarity with Docker, Kubernetes, Azure, AWS, GCP, cloud-native AI deployments, and scalable ML architecture.

Preferred (Company) – Candidates from AI-first startups, Fintech, Banking, Lending, Fraud Analytics, Risk Analytics, Product Companies, SaaS organizations, or data-driven technology companies.

Kindly provide the following details while sending your CV: (Mandatory details)

1) Date of Birth

2) Current Location-

3) Current CTC-

4) Expected CTC-

5) Notice Period-

6) Ready to relocate to Pune?

Regards,

The Supreme Consultancy

Website- https://lnkd.in/eawfxfxU

Hiring: GCP Data Engineer (FTE)

📍 Location: Bangalore | Chennai | Pune | Gurgaon | Kolkata

💼 Employment Type: Full-Time

Notice Period - Immediate Joiner ( Serving Notice Period )

Work Mode - Hybrid

We are looking for experienced GCP Data Engineers with strong expertise in building scalable cloud data solutions.

Required Skills:

✔ GCP Data Engineering Experience

✔ BigQuery

✔ SQL & Python

✔ PySpark / Apache Spark

✔ Apache Beam / Dataflow

✔ ETL / ELT Pipeline Development

✔ Airflow / Cloud Composer

Responsibilities:

• Design and develop scalable ETL/ELT pipelines on GCP
• Build and optimize BigQuery solutions
• Process large-scale structured/unstructured data using Spark
• Develop automated workflows and cloud-native data pipelines
• Work with GCP services like Dataflow, Dataproc, Cloud Storage, etc.
• 
  

Good to Have:

• Google Cloud Certifications (Professional Data Engineer / Solution Architect)
• Experience with BigTable, Cloud SQL, Spanner, NoSQL databases

🎓 Qualification: Bachelor’s / Master’s in CS, Engineering, or related field

We are looking for an experienced Quality Automation Lead to drive end-to-end test automation strategy, framework development, and quality engineering initiatives. The ideal candidate should have strong expertise in Python, Robot Framework, UI/API automation, CI/CD integration, and AI-enabled testing practices.

Key Responsibilities

• Design and maintain scalable automation frameworks using Python and Robot Framework.
• Develop and execute UI and API automation test suites.
• Integrate automation into CI/CD pipelines using Jenkins.
• Implement AI-driven testing approaches for intelligent test generation and validation.
• Collaborate with Engineering, Product, and DevOps teams to ensure high-quality releases.
• Mentor QA engineers and establish automation best practices.

Required Skills

• 7–10 years of automation testing experience.
• Strong expertise in Python and Robot Framework.
• Hands-on experience with Selenium and/or Playwright.
• Experience in API automation (REST APIs, OpenAPI/Swagger).
• Good knowledge of Jenkins, CI/CD pipelines, AWS, and Docker.
• Strong analytical, problem-solving, and leadership skills.

Good to Have

• Experience with AI-enabled automation and intelligent testing.
• Exposure to IGA/IAM domain.
• Knowledge of Postman, Allure Reports, observability tools, and quality dashboards.

Warble Cloud is expanding its cognitive infrastructure team and is seeking a freelance Solution Engineer focused on Agentic AI and LLMs in Pune.

This role involves building and scaling multi-agent orchestration systems, particularly our Reflexion Engine

and Actor/Critic reasoning loops

.Engagement Details:- Format: Freelance / Part-time- Bandwidth: Strictly 2 hours daily- Location: Pune, Maharashtra (Local candidates only; no exceptions)

Requirements:- Experience: 2+ years in MLOps and LLM-driven development.- Technical Stack: Proven ability to build and deploy generative AI applications, work with RAG pipelines, and integrate LLMs with complex backend infrastructures.- Ecosystem: Familiarity with deploying models (like Gemma, Qwen, Llama) and agentic frameworks. Experience with Model Context Protocol / MCP servers is a significant advantage.

What You Will Do:- Collaborate directly with engineering leadership to refine and optimize LLM reasoning loops.- Contribute to the deployment of safe, token-efficient agentic workflows.- Ensure seamless integration of AI models into cloud-native, Kubernetes-driven environments.How to Apply:If your background aligns with the requirements and you meet the location

. #Hiring #Pune #PuneJobs #Freelance #MLOps #LLM #GenerativeAI #AgenticAI #WarbleCloud #PlatformEngineering

Purpose of the role

To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. 

Accountabilities

• Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
• Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
• Development of processing and analysis algorithms fit for the intended data complexity and volumes.
• Collaboration with data scientist to build and deploy machine learning models.

Assistant Vice President Expectations

• To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
• Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
• OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
• Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
• Take ownership for managing risk and strengthening controls in relation to the work done.
• Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
• Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
• Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
• Influence or convince stakeholders to achieve outcomes.

Job Description

To be successful in this role, you should have experience with:

• AWS hands on with S3, EC2, Lambda, RDS, Glue, Athena, data pipelines, step function and knowledge of Analytical services.
• Experience of distributed computing architecture, Core Hadoop components (HDFS, Spark, Yarn, HIVE, Impala).
• Experience of Technical Design for ETL/Hadoop/AWS components.
• Knowledge of Data Warehousing.

Some other highly valued skills may include:

• Expertise in SQL, advanced SQL skills.
• Expertise in shell scripting and programming (Scala/Python).
• Knowledge of ETL technologies preferably Ab Initio.

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. 

The location of the role is Pune.

Purpose of the role

To design, develop, and execute testing strategies to validate functionality, performance, and user experience, while collaborating with cross-functional teams to identify and resolve defects, and continuously improve testing processes and methodologies, to ensure software quality and reliability. 

Accountabilities

• Development and implementation of comprehensive test plans and strategies to validate software functionality and ensure compliance with established quality standards.
• Creation and execution automated test scripts, leveraging testing frameworks and tools to facilitate early detection of defects and quality issues. .
• Collaboration with cross-functional teams to analyse requirements, participate in design discussions, and contribute to the development of acceptance criteria, ensuring a thorough understanding of the software being tested.
• Root cause analysis for identified defects, working closely with developers to provide detailed information and support defect resolution.
• Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
• Stay informed of industry technology trends and innovations, and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth.

Analyst Expectations

• To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
• Requires in-depth technical knowledge and experience in their assigned area of expertise
• Thorough understanding of the underlying principles and concepts within the area of expertise
• They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
• OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate.
• Will have an impact on the work of related teams within the area.
• Partner with other functions and business areas.
• Takes responsibility for end results of a team’s operational processing and activities.
• Escalate breaches of policies / procedure appropriately.
• Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
• Advise and influence decision making within own area of expertise.
• Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.
• Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.
• Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Make evaluative judgements based on the analysis of factual information, paying attention to detail.
• Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
• Guide and persuade team members and communicate complex / sensitive information.
• Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

All colleagues will be expected to demonstrate the Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Join us as an IFC - ETL Automation Tester, where you will spearhead the evolution of our infrastructure and deployment pipelines, driving innovation and operational excellence. You will harness cutting-edge technology to build and manage robust, scalable and secure infrastructure, ensuring seamless delivery of our digital solutions.  

To be successful as an IFC - ETL Automation Tester, you should have experience with:

• Expertise in ETL too e.g. Informatica or AbInitio.
• Develop and execute ETL test cases, Test scripts and data validation scenarios.
• Validation on data extraction, transformation and loading along with data completeness.
• Test Automation experience in developing and implementing ETL test automation scripts using Python, SQL scripting, QuerySurge, Unix and Shell Scripts.
• Automate comparison, schema validation and regression testing.
• Integrate test automation with CICD pipeline (Jenkins, Gitlab, DevOps)
• Optimize and maintain automated test suite for scalability and performance.
• Understand requirements, user stories and able to relate them with design document.
• Work closely with business analyst, Dev team to define the test scope. 
• Maintain Test Plan, Test Data and Automation in version control.
• Document best practices, lesson learnt and continues improvement strategies. 
• Identify and log defects via JIRA & defect management. 
• Work with business analyst and developers to troubleshoot data issues and pipeline failures.
• Provide detailed report on test execution, coverage, and defect analysis.
• Understanding of agile development/test methodology and practice it in day-to-day work
• Unearth gaps between business requirement and User stories
• Ensure ETL process adhere to data privacy and compliance. Validate data masking encryption and access control. Audit and data Recon testing to tack the data modification. 

Some other highly valued skills may include:

• Detail understanding of Cloud technology viz AWS, Confluent Kafka
• Good if have hands on experience in BDD / TDD

You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.

Purpose of the role

To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. 

Accountabilities

• Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
• Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
• Development of processing and analysis algorithms fit for the intended data complexity and volumes.
• Collaboration with data scientist to build and deploy machine learning models.

To be successful as a Lead Data Engineer, you should have experience with:

• AWS cloud services such as S3, Glue, Athena, Lake Formation, CloudFormation etc.
• Python language on senior level for data engineering and automation purposes
• Snowflake, ETL frameworks, data transformation and data quality tools
• Some other highly valued skills may include:
• AWS Data Engineer certification
• Previous working experience within banking or financial services domain
• Experience with IAM and Permissions management in AWS cloud
• Experience with Databricks, Snowflake, Starburst, Iceberg
• You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.

Role: Data Engineer

 Experience: 5+ Yrs

Type: Hybrid (3 Days a week)

Location: Chennai, Bangalore, Hyderabad, Pune, Kolkatta

End Client: Cognizant

Contract Duration: 6 Months

Shift:- 10 AM - 7 PM IST

Must Have: 

* Strong experience in Python

* Expertise in Data Engineering Frameworks

* Hands-on experience with ETL processes

* CI/CD

* Experience working on GCP (Google Cloud Platform)

Role : AWS Data Engineer

Location : Anywhere in India - where cognizant office is available 

Contract duration : 12 months contract

Total Experience : 8-10 years

Budget-15LPA

Relevant Experience : 5+years with required skills & data engineering

Client : Cognizant

Job description : 

Python

Spark

Gradle 

AWS Services (ex: S3, Athena, Redshift, Transfer, SNS, SQS, Event Bridge, Lamda, Glue Data Catalog, RDS, EC2, IAM, Flink)

Kubernetes

Argo

Kafka / Kinesis streaming

SQL

ETL Data Pipelines

Data Modelling

Power BI/ Any reporting tools

New Relic / Terraform

Operational support - Batch monitoring, root cause analysis and fix

Role Objective

As a Team Lead – AI/LLM Engineering, you will lead the development of scalable AI-powered applications and backend systems while managing a team of engineers. The role requires a strong balance of technical leadership and hands-on contribution in building production-grade solutions using Python, Django, RAG architectures, Vector Databases, and modern LLM frameworks. You will drive project execution, mentor team members, and ensure high-quality delivery of AI solutions.

Roles & Responsibilities

• Lead and manage a team of 6–10 engineers for AI/LLM-based projects.
• Drive end-to-end project delivery with focus on quality, scalability, and operational efficiency.
• Design and develop scalable backend systems using Python and Django.
• Build and optimize AI workflows involving RAG systems, Vector Databases, embeddings, and LLM orchestration.
• Work with technologies such as LangGraph and Model Context Protocol (MCP).
• Participate in architecture discussions, system design, and technical decision-making.
• Conduct code reviews and maintain engineering best practices.
• Mentor junior developers and support team growth.
• Collaborate with cross-functional teams for smooth project execution.
• Identify and remove technical blockers to improve team productivity.
• Contribute hands-on to development, debugging, and deployment activities.

Requirements

• Minimum 3 years experience as a developer.
• Minimum 7–8 months of experience with building AI systems.
• Strong hands-on experience in Python and Django development.
• Experience with Vector Databases and embedding-based retrieval systems.
• Good understanding of Data Structures & Algorithms.
• Strong knowledge of System Design and scalable application architecture.
• Experience working with AI/LLM integrations and RAG systems.
• Prior team leadership or mentoring experience.
• Good communication, analytical thinking, and problem-solving abilities.
• Ability to work in a fast-paced, collaborative environment.

Behavioural Skills

• Strong leadership and team management abilities.
• Excellent communication and interpersonal skills.
• Problem-solving mindset with strong analytical thinking.
• Ability to take ownership and drive projects independently.
• Adaptability to evolving technologies and project requirements.
• Good collaboration and stakeholder management skills.
• Strong decision-making and mentoring capabilities.

Technical Skills

• Python
• Django Framework
• Data Structures & Algorithms
• System Design
• Vector Databases
• Embeddings & Semantic Search
• RAG (Retrieval-Augmented Generation) Systems
• LangGraph
• Model Context Protocol (MCP)
• LLM Integration & Orchestration
• REST APIs
• Git & Version Control
• DevOps / Cloud Infrastructure (Preferred)
• Database Management Systems (SQL/NoSQL)

About the Role

We are looking for an analytical and detail-oriented Data Scientist with deep expertise in graph analytics, network analysis, and scalable data engineering. This is not a conventional machine learning role — the focus is on understanding complex relationships, structures, and patterns within large-scale datasets using graph-based methods and statistical modeling. You will work in a collaborative, fast-paced environment and be expected to contribute across the full data lifecycle — from raw data exploration through to production-grade analytical systems.

This is a full-time, in-office role based out of our Pune office (5 days a week).

Key Responsibilities

Graph Analytics & Network Analysis

• Design and implement graph-based models to identify patterns, clusters, communities, and relationships within complex datasets.

• Apply network analysis techniques using metrics such as clustering coefficient, degree assortativity, density, Gini index, and small-world index.

• Perform multi-hop network traversals and community detection using algorithms such as Louvain partitioning and similar graph clustering approaches.

• Build and query graph databases (Neo4j, ArangoDB) using Cypher Query Language to extract structural insights from connected data.

• Leverage GPU-accelerated graph libraries (cuGraph) to scale graph computations across large datasets efficiently.

Data Engineering & Pipeline Development

• Conduct thorough Exploratory Data Analysis (EDA) on large-scale structured and semi-structured datasets to surface quality issues, distributions, and key features.

• Build, optimize, and maintain scalable data pipelines and stored procedures across cloud data platforms such as BigQuery, PostgreSQL, or Hive.

• Automate data workflows using orchestration tools such as Apache Airflow or Kubeflow Pipelines.

• Apply GPU-accelerated computing (CUDA, CuPy, cuDF) to optimize processing performance on high-volume data workloads.

• Ensure data integrity, reproducibility, and documentation across all analytical workflows.

Statistical Modeling & Insight Generation

• Apply statistical modeling techniques to detect behavioral anomalies, trends, and patterns within datasets.

• Use time series analysis to identify temporal patterns and changes in data over time.

• Translate analytical findings into clear, actionable insights for both technical and non-technical stakeholders.

• Build dashboards and reports using visualization tools (e.g., Trino Superset) to communicate results effectively.

Collaboration & Documentation

• Work closely with product, engineering, and business teams to understand requirements and deliver relevant analytical solutions.

• Contribute to internal knowledge sharing through workshops, documentation, and peer reviews.

• Maintain well-documented codebases and analytical frameworks for long-term maintainability.

Required Skills & Qualifications

Must-Have

• 3+ years of experience in a Data Science, Data Analytics, or Graph Analytics role.

• Strong proficiency in Python with hands-on experience using NumPy, Pandas, CuPy, and cuDF.

• Practical experience with graph analytics libraries — NetworkX, cuGraph, Neo4j, or ArangoDB.

• Solid understanding of graph theory concepts: community detection, network metrics, graph traversal, and clustering algorithms.

• Proficiency in SQL; experience with BigQuery, PostgreSQL, MS SQL, Hive, or similar databases.

• Experience with GPU-based computing using CUDA for performance-critical data tasks.

• Strong analytical thinking and ability to work independently on ambiguous, open-ended problems.

Good to Have

• Experience with Cypher Query Language for querying graph databases (Neo4j / ArangoDB).

• Familiarity with graph ML frameworks such as PyTorch Geometric.

• Exposure to workflow orchestration tools — Apache Airflow or Kubeflow Pipelines.

• Knowledge of cloud data tools such as Trino, MinIO, or IBM Datastage.

• Basic scripting skills in Bash or C++ for automation or performance tasks.

• Experience presenting data insights to senior stakeholders or cross-functional teams.

• Research publications, patents, or open-source contributions in graph analytics or data science are a strong plus.

What We Offer

• Opportunity to solve high-impact, large-scale data problems using modern graph and analytics tools.

• Exposure to cutting-edge technologies including GPU-accelerated computing and graph ML.

• Collaborative, intellectually stimulating work environment with a strong engineering culture.

• Competitive compensation with performance-based incentives.

• Learning & development support — certifications, courses, and conference participation.

• Centrally located Pune office with a structured, in-person team culture.

Byteridge is seeking a Rapid Prototyping Engineer specializing in AI Infrastructure & Optimization to work with our most strategic customers on deploying, fine-tuning, and optimizing large language models at scale. You will be at the forefront of Byteridge's AI infrastructure capabilities, helping customers unlock the full potential of foundation models through expert-level deployment on GPU infrastructure.

This highly technical role requires deep expertise in machine learning infrastructure, GPU optimization, and production ML systems, combined with the ability to translate complex technical concepts into customer success.

What You'll Do

Model Deployment & Optimization

• Lead end-to-end deployments of large language models on AWS infrastructure for strategic

customers

• Design and implement training, fine-tuning, and inference pipelines using Amazon SageMaker AI

• Optimize model performance through GPU-level tuning, kernel optimization, and infrastructure

configuration

• Deploy models on diverse GPU architectures including NVIDIA and AWS custom silicon (Trainium,

Inferentia)

Infrastructure Architecture & Performance

• Architect scalable ML infrastructure using SageMaker AI Inference, HyperPod, and distributed

training frameworks

• Implement CUDA-level optimizations and custom kernels for improved model performance

• Design storage and networking architectures optimized for high-throughput ML workloads

• Troubleshoot and resolve complex performance bottlenecks at the GPU driver and kernel level

Customer Engagement & Technical Leadership

• Partner with AWS AI Specialist Solution Architects and customer ML teams to understand model

requirements and deployment constraints

• Provide technical guidance on model selection, fine-tuning strategies, and production best practices

• Conduct performance benchmarking and cost optimization analysis for ML workloads

• Share field insights with AWS product teams to influence infrastructure and service roadmaps

What We're Looking For

Core Qualifications

• Bachelor's degree in computer science, Engineering, or equivalent practical experience (Master's or

PhD preferred)

• 5+ years of experience in machine learning infrastructure, model deployment, or GPU computing

• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, JAX)

• Deep understanding of LLM architectures, training methodologies, and inference optimization

Technical Expertise (High-Level Alignment)

• Hands-on experience training, fine-tuning, or deploying large language models in production

• Proficiency with GPU programming, CUDA, and kernel-level optimization techniques

• Experience with distributed training frameworks and multi-GPU/multi-node orchestration

• Strong knowledge of AWS core services: EC2 (GPU instances), S3, EFS, VPC, and networking

Preferred Experience

• Direct experience with Amazon SageMaker AI (Training, Inference, HyperPod) or equivalent ML

platforms

• Understanding of GPU architectures (NVIDIA A100, H100) and AWS custom silicon (Trainium,

Inferentia)

• Experience with model compression techniques (quantization, pruning, distillation)

• Knowledge of MLOps practices, model monitoring, and production ML system design

• Background in high-performance computing, distributed systems, or systems programming

Essential Attributes

• Ability to dive deep into technical problems and debug complex infrastructure issues

• Strong analytical skills with data-driven approach to optimization

• Excellent communication skills to explain complex technical concepts to diverse audiences

• Comfortable working in ambiguous, fast-paced environments with evolving requirements

• Ownership mindset with ability to drive projects from architecture to production

We are looking for a talented and driven Data Scientist to join our growing Analytics team in India. In this role, you will work at the intersection of advanced machine learning, scalable MLOps infrastructure, and domain-specific healthcare analytics. You will collaborate closely with cross-functional teams to build, deploy, and maintain production-grade ML models that drive real-world impact in clinical trials and healthcare operations.

KEY RESPONSIBILITIES

End-to-End ML Development

•     Design, build, and optimize predictive models across the full ML lifecycle—from data ingestion to model serving.

•     Conduct rigorous Exploratory Data Analysis (EDA) to surface insights and drive feature engineering decisions.

•     Validate model performance using appropriate statistical techniques and domain knowledge.

MLOps & Production Deployment

•     Deploy, monitor, and maintain production-grade ML models using Databricks MLFlow endpoints and Unity Catalog.

•     Implement CI/CD pipelines for model versioning, experiment tracking, and automated retraining.

•     Ensure model reliability, observability, and performance in live production environments.

Language Models & LLM Applications

•     Apply transformer-based models (BERT, ClinicalBERT, Trial2Vec) for NLP tasks including classification, NER, and information extraction.

•     Build and maintain vector similarity search pipelines for semantic retrieval and recommendation use cases.

•     Fine-tune pre-trained models for domain-specific applications in clinical and healthcare contexts.

•     Support exploratory work around LLM integration and prompt engineering for internal tooling.

Domain-Driven Analytics

•     Apply advanced analytics within complex healthcare and clinical trial datasets—including patient records, trial protocols, and adverse event data.

•     Translate ambiguous business problems into structured analytical frameworks with measurable outcomes.

•     Partner with domain experts, product managers, and engineering teams to deliver data-driven solutions.

REQUIRED QUALIFICATIONS

Education

•     Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Bioinformatics, or a closely related field.

Experience

•     2–4 years of hands-on experience in a data science or machine learning role.

•     Demonstrable experience deploying ML models in production environments (not just prototyping).

Technical Skills

•     Strong proficiency in Python (pandas, NumPy, scikit-learn, PyTorch / TensorFlow).

•     Experience with Databricks, MLFlow (experiment tracking, model registry, endpoints), and Unity Catalog.

•     Hands-on experience with BERT-family models and Hugging Face Transformers library.

•     Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and embedding-based retrieval.

•     Solid understanding of SQL and working with large structured/unstructured datasets.

•     Exposure to cloud platforms (AWS / GCP / Azure) and distributed computing frameworks (Spark).

GOOD TO HAVE

•     Prior experience with clinical trial data standards (CDISC, CDASH, SDTM) or healthcare ontologies (SNOMED, ICD-10).

•     Familiarity with Trial2Vec or similar trial-to-vector embedding approaches.

•     Experience with LLM fine-tuning, RAG pipelines, or prompt engineering in a production setting.

•     Knowledge of regulatory and compliance considerations in healthcare AI (e.g., FDA guidelines, HIPAA).

•     Contributions to open-source ML projects or published research.

THIS ROLE IS NOT FOR YOU IF…

•     You have strong SQL/BI skills but limited hands-on ML modelling experience — or you’ve built models only in notebooks without ever deploying them to production.

•     Your LLM exposure is limited to API calls and prompt engineering — with no experience fine-tuning models, working with embeddings, or building vector search pipelines.

Role Overview:

Virtana is looking for a Senior DevOps Engineer to join our R&D Infrastructure team. In this role, you won't just follow conventions — you'll help redefine them. You will own the architecture, build, and day-to-day operations of the GCP-based cloud platform that powers Virtana's SaaS products and the AI-driven observability experience our Global 2000 customers depend on. This is a hands-on senior individual contributor role with meaningful technical leadership scope, working alongside engineers and architects on a unified observability platform.

Work Location: Pune

Job Type: Hybrid

Role Responsibilities:

• GCP Cloud Operations: Develop, deploy, operate, and support production cloud infrastructure primarily on GCP — leveraging GKE, BigTable, BigQuery, Dataflow, Cloud Storage, IAM, and core networking services.
• Reliability & SLAs: Ensure production systems are running at all times with multiple levels of redundancy to meet committed SLAs; lead incident response, root cause analysis, and post-incident reviews.
• Build & Release Automation: Design, implement, and continuously improve scalable CI/CD pipelines and test frameworks leveraged by QA and development teams across the company.
• Infrastructure as Code: Manage large-scale, repeatable deployments using Terraform, Ansible, Puppet, or SaltStack; champion Git-based workflows and version control standards for distributed engineering teams.
• Security & Availability: Maintain the ongoing maintenance, security, patching, and availability of services in line with tight operations, security, and procedural models.
• Monitoring & Alerting: Plan and deliver high-value monitoring and alerting features to support operations, support, and customer-facing reliability — eating our own dog food with the Virtana Platform wherever possible.
• Capacity & Cost: Forecast capacity, plan upgrades, patches, and migrations, and drive cloud cost efficiency across hybrid and multi-cloud environments.
• Cross-Functional Partnership: Work with development, operations, and support personnel to identify, isolate, and diagnose issues; handle support escalations and drive permanent fixes.

Required Qualifications:

• Bachelor's degree in Computer Science / Engineering or equivalent relevant experience.
• 5–7 years of professional hands-on DevOps / SRE experience supporting production cloud environments.
• Strong, demonstrable production experience on GCP — including GKE, BigTable, BigQuery, Dataflow, IAM, and core GCP networking services.
• Deep, hands-on expertise with container orchestration (Kubernetes) and Docker in production.
• Advanced proficiency with at least one infrastructure-as-code / configuration management tool: Terraform, Ansible, Puppet, or SaltStack.
• Solid understanding of networking, firewalls, load balancers, DNS, and database operations.
• Strong working knowledge of Git-based workflows and version control standards for distributed engineering teams.
• Comfort operating hybrid environments that include both Linux and Windows ecosystems.
• Excellent verbal and written communication skills, with the ability to explain highly technical topics to both technical and non-technical audiences.
• Self-motivated, detail-oriented, and able to work both independently and within a globally distributed team.

Good to Have:

• Strong scripting skills and a demonstrated ability to automate operational toil — Python preferred; Bash, Go, or Groovy a plus.
• Hands-on experience designing and operating CI/CD pipelines with Jenkins (Spinnaker, GitHub Actions, or GitLab CI also welcome).
• Exposure to AWS or other public clouds in addition to GCP.
• Experience operating SaaS platforms built on microservices architectures.

The Role

As a Senior Site Reliability Engineer at Blitzy's Pune headquarters, you will be the backbone of our platform's reliability, scalability, and operational excellence. You'll work at the intersection of software engineering and infrastructure, ensuring our AI-powered development platform remains highly available and performant as we scale rapidly. This is a high-impact, hands-on role for an engineer who thrives in a fast-moving environment and takes deep ownership of the systems they build.

What Success Looks Like

• In 30 days: You have a deep understanding of Blitzy's infrastructure architecture, have identified key reliability risks, and are actively contributing to on-call rotations.
• In 90 days: You have shipped meaningful improvements to observability, incident response workflows, and deployment pipelines that measurably reduce MTTR and increase system uptime.
• In 6 months: You have driven at least one major reliability initiative from inception to production, established SLO/SLA frameworks for critical services, and are a trusted technical voice shaping our infrastructure roadmap.

Areas of Ownership

• Design, build, and operate scalable, fault-tolerant infrastructure across cloud environments (AWS, GCP, or Azure).
• Define and enforce SLOs, SLAs, and error budgets; lead blameless postmortems and drive systemic improvements.
• Build and maintain robust CI/CD pipelines, release automation, and deployment infrastructure.
• Own observability: design and maintain logging, metrics, tracing, and alerting stacks (e.g., Prometheus, Grafana, Datadog, OpenTelemetry).
• Partner closely with software engineering teams to embed reliability practices into the development lifecycle.
• Drive capacity planning, performance benchmarking, and cost optimization across our infrastructure.
• Champion security best practices within the infrastructure and deployment layers.

Required Experience

• 5+ years of experience in Site Reliability Engineering, DevOps, or Infrastructure Engineering roles.
• Strong proficiency in at least one major cloud platform (AWS preferred); experience with Kubernetes and container orchestration at scale.
• Hands-on experience with infrastructure-as-code tools (Terraform, Pulumi, or equivalent).
• Proven track record designing and maintaining high-availability, distributed systems.
• Deep expertise in observability tooling, incident management, and on-call practices.
• Strong scripting and automation skills (Python, Go, Bash, or similar).
• Excellent communication skills with the ability to collaborate across engineering teams and present technical findings to leadership.

What Makes You Stand Out

• Experience supporting AI/ML workloads or GPU-accelerated infrastructure.
• Prior experience in a high-growth startup environment where you wore multiple hats.
• Familiarity with eBPF, service mesh technologies (Istio, Linkerd), or advanced networking.
• Contributions to open-source SRE/DevOps tooling or communities.
• Experience building global, multi-region infrastructure with strict latency and availability requirements.

What Makes This Role Different

You won't be maintaining legacy systems or fighting fires in a sprawling monolith. At Blitzy, you're building reliability into a greenfield AI platform that is redefining how the world creates software. You'll have direct influence over architectural decisions, work side-by-side with world-class engineers, and see the tangible impact of your work as we scale to serve Fortune 500 customers. As a founding member of the Pune SRE team, you'll help shape the culture and technical standards of a team that will grow with the company.

The Role

As a DevOps Engineer at Blitzy's Pune headquarters, you'll build and operate the infrastructure that powers our AI agents and the applications they produce. You'll work at the intersection of cloud infrastructure, developer tooling, and AI-native systems — designing the pipelines, clusters, and automation that allow Blitzy to ship production-ready software at machine speed. This is a hands-on, high-ownership role for an engineer who moves fast, automates everything, and cares deeply about developer experience and system reliability.

What Success Looks Like

• Kubernetes clusters are running reliably at scale, with clear deployment standards, Helm-managed releases, and minimal manual intervention required from engineering teams.
• CI/CD pipelines are fast, consistent, and trusted — developers ship confidently knowing the automation handles the rest.
• Observability is comprehensive: alerts are actionable, dashboards are meaningful, and incidents are resolved faster because the right data is always available.
• Infrastructure provisioning is fully automated — no snowflake environments, no manual setup, everything reproducible through code.
• AI agent orchestration infrastructure is stable and scalable, directly enabling Blitzy's core product to deliver for enterprise customers.
• Engineering teams notice the difference — developer productivity is measurably higher and infrastructure is no longer a bottleneck to shipping.

Areas of Ownership

• Build and manage Kubernetes clusters supporting AI agent workloads and application deployment at scale.
• Design, implement, and maintain CI/CD pipelines for application and AI service delivery — ensuring speed, reliability, and repeatability.
• Automate infrastructure provisioning and dynamic scaling using Python scripts and Terraform IaC.
• Deploy and manage applications using Helm charts; own packaging standards and release automation.
• Build and maintain comprehensive observability stacks — alerting, distributed tracing, metrics, and logging (e.g., Prometheus, Grafana, Datadog, OpenTelemetry).
• Monitor and maintain production services and APIs; own incident response and drive blameless postmortems.
• Build dedicated infrastructure for AI agent orchestration and management, enabling Blitzy's core autonomous development capabilities.
• Collaborate with engineering teams on deployment strategies and continuously improve developer experience through tooling and automation.

Required Experience

• 5–8 years of DevOps, infrastructure, or platform engineering experience.
• Python proficiency for scripting, automation, and infrastructure tooling.
• Deep Kubernetes expertise — cluster management, workload deployment, scaling, and troubleshooting.
• Hands-on Helm experience for application packaging and release management.
• Proven ability to design and implement CI/CD pipelines across complex, multi-service environments.
• Practical experience with at least one major cloud platform (AWS, GCP, or Azure).
• Terraform proficiency for infrastructure-as-code provisioning and state management.
• Strong Linux administration and containerization fundamentals (Docker, OCI).

What Makes You Stand Out

• CKA (Certified Kubernetes Administrator) certification.
• Familiarity with MLOps tooling such as MLflow, Kubeflow, or similar platforms for AI/ML workload management.
• Experience with microservices architecture and distributed systems design.
• Knowledge of API gateways and service mesh technologies (Istio, Linkerd, or equivalent).
• Prior experience in a high-growth AI or software startup where you moved fast and owned broadly.
• Track record of meaningfully improving developer productivity through platform and tooling investments.

What Makes This Role Different

Most DevOps roles have you maintaining existing systems. At Blitzy, you're building the infrastructure layer for a platform that autonomously writes enterprise software — a genuinely new category of product. You'll work on AI agent orchestration, Kubernetes at scale, and developer tooling that is directly responsible for how fast Blitzy delivers value to Fortune 500 customers. As an early member of the Pune engineering team, you'll have outsized influence over our infrastructure culture and technical direction. High performers are eligible for company equity — giving you real ownership in what you build.

Platform Engineer – Cloud & On-Prem Infrastructure

Location - Pune or Bangalore (WFO- 5 days)

Must-Have Skills:

• 8+ years deploying, upgrading, and maintaining infrastructure across on-premises and public cloud, with Kubernetes and Docker
• Proficiency in Infrastructure as Code using Terraform or Pulumi
• Hands-on coding in Golang or Python, plus Bash scripting 

Good-to-Have Skills:

• Familiarity with Kubernetes management solutions (OpenShift, Rancher, GKE, EKS, AKS, VMware TKG) 
• Experience with VM management platforms (e.g., Red Hat OpenShift Virtualization, VMware) 
• Kubernetes certifications (CKA, CKAD) 
• Exposure to service mesh technologies (Istio, Linkerd)

Who You Are

• A platform engineer who builds and maintains the infrastructure backbone for both on-prem and cloud environments
• Passionate about automating daily operations and eliminating manual toil
• Comfortable authoring and evolving IaC (Infrastructure as a Code) templates to enforce consistency.

What You’ll Do & Learn

• Roll out & maintain on-premises and cloud infrastructure for development and testing environments 
• Implement & support CI/CD pipelines to drive our software delivery processes
• Develop automation tools that streamline routine operations and improve reliability 
• Build & enhance Infrastructure-as-Code templates (Terraform, Pulumi) for rapid, repeatable provisioning 
• Document system designs, configurations, and processes to enable an asynchronous, distributed team culture

Role Objective

Develop business-relevant, high-quality, scalable Power BI Dashboards keeping customer requirements at the core.

Roles and Responsibilities

• Technical Expertise: Very clear understanding of core concepts like Data Modelling, DAX, Power Query, and Visualization principles.
• Programming Languages: Expertise in Python and SQL for data manipulation, analysis, and automation. Additionally, leverage DAX and M Query for complex data transformations within Power BI.
• Dashboard Development & Quality Measures: Design, develop, and maintain Power BI dashboards ensuring high quality, data accuracy, user-friendly visualization, and adherence to timelines. Define and meet dashboard quality standards such as data accuracy, visualization clarity, and performance benchmarks.

• Translate Business Problems: Collaborate with stakeholders to translate complex business problems into data-centric solutions that address functional, non-functional, and commercial concerns, such as reliability, scalability, and maintainability
• Hypothesis Development: Decompose business problems into a series of testable hypotheses, identifying relevant data assets required for evaluation
• Quality Measures: Define and meet the dashboard quality measures like data accuracy, data visualization, timelines, support, etc.
• Solution Design: Based on the business requirements design wireframes, POC, and final product.
• Performance Optimization: Improve user experience by continuously enhancing performance, maintainability and scalability.
• Troubleshooting: Quick issue resolution as defined by SLA. Resolve issues about access, latency, data accuracy, security, etc.

Job Requirements

1. Education- MBA, B. Tech (Comp. Sc), BBA, BCA, MCA or equivalent

2. Experience- 4+ years of experience in developing Power BI Dashboards.

3. Behavioral Skills-

• Clear and Assertive communication
• Ability to comprehend the business requirement
• Teamwork and collaboration
• Analytics thinking
• Time Management

4. Technical Skills-

• Understand various datasets as play and create a high-quality, robust, and scalable data model in Power BI.
• Should be able to write data transformation steps using M-Language and not just UI.
• Demonstrated ability to write and comprehend complex DAX.
• Understanding of visualization best practices. We encourage insightful dashboards NOT colorful.
• Conceptual clarity and Hands-on experience with SQL and Python.
• Analytical skills to create powerful data stories
• Experience with using DAX Studio and Tabular Editor is a plus
• Expertise in High Volume Data Processing Production environment is a plus

Note: Candidates based in Pune or those willing to relocate will be preferred.

Why Ven Analytics?

At Ven, we are a fast-paced, innovative startup committed to delivering cutting-edge solutions. Our dynamic work environment fosters creativity, collaboration, and professional growth.

We offer a range of employee benefits, including:

• Competitive Compensation: Attractive salary packages and performance-based incentives.
• Career Development: Opportunities for growth, learning, and advancement in a rapidly expanding company.
• Health Benefits: Wellness programs and resources to support your physical and mental well-being.

Join us at Ven Analytics, where you'll have the chance to make an impact, grow professionally, and be part of an exciting journey!

Role Objective

Develop business relevant, high quality, scalable web applications. You will be part of a dynamic AdTech team solving big problems in the Media and Entertainment Sector.

Roles & Responsibilities

* Application Design: Understand requirements from the user, create stories and be a part of the design team. Check designs, give regular feedback and ensure that the designs are as per user expectations.  

* Architecture: Create scalable and robust system architecture. The design should be in line with the client infra. This could be on-prem or cloud (Azure, AWS or GCP). 

* Development: You will be responsible for the development of the front-end and back-end. The application stack will comprise of (depending on the project) SQL, Django, Angular/React, HTML, CSS. Knowledge of GoLang and Big Data is a plus point.  

* Deployment: Suggest and implement a deployment strategy that is scalable and cost-effective. Create a detailed resource architecture and get it approved. CI/CD deployment on IIS or Linux. Knowledge of dockers is a plus point.  

* Maintenance: Maintaining development and production environments will be a key part of your job profile. This will also include trouble shooting, fixing bugs and suggesting ways for improving the application. 

* Data Migration: In the case of database migration, you will be expected to suggest appropriate strategies and implementation plans. 

* Documentation: Create a detailed document covering important aspects like HLD, Technical Diagram, Script Design, SOP etc. 

* Client Interaction: You will be interacting with the client on a day-to-day basis and hence having good communication skills is a must. 

**Requirements**

Education-B. Tech (Comp. Sc, IT) or equivalent 

Experience- 3+ years of experience developing applications on Django, Angular/React, HTML and CSS 

Behavioural Skills-

  1. Clear and Assertive communication 

  2. Ability to comprehend the business requirement  

  3. Teamwork and collaboration 

  4. Analytics thinking 

  5. Time Management 

  6. Strong Trouble shooting and problem-solving skills 

Technical Skills-

  1. Back-end and Front-end Technologies: Django, Angular/React, HTML and CSS. 

  2. Cloud Technologies: AWS, GCP and Azure 

  3. Big Data Technologies: Hadoop and Spark 

  4. Containerized Deployment: Dockers and Kubernetes is a plus.

  5. Other: Understanding of Golang is a plus.

AI / LLM Engineering — Good to Have

• Candidates with exposure to AI/LLM engineering will have a strong advantage as we build intelligent, AI-augmented AdTech solutions. None of the below is mandatory.
• LLMs: OpenAI (GPT-4/4o), Anthropic (Claude), Meta (Llama)
• Orchestration & Agents: LangChain, LangGraph, LlamaIndex
• Tool Calling / MCP: Function Calling (OpenAI / Anthropic), FastMCP or Custom MCP Servers
• RAG (Retrieval-Augmented Generation): RAG pipeline design, LlamaIndex, LangChain retrievers and chains
• Vector Databases: Pinecone, Weaviate, FAISS
• Embeddings: OpenAI Embeddings, Hugging Face Sentence Transformers
• Observability: LangSmith, Sentry
• Backend / Infra for AI: Django REST Framework, FastAPI.

Role Objective

Develop business relevant, high quality, scalable web applications. You will be part of a dynamic AdTech team solving big problems in the Media and Entertainment Sector.

Roles & Responsibilities

* Application Design: Understand requirements from the user, create stories and be a part of the design team. Check designs, give regular feedback and ensure that the designs are as per user expectations.  

* Architecture: Create scalable and robust system architecture. The design should be in line with the client infra. This could be on-prem or cloud (Azure, AWS or GCP). 

* Development: You will be responsible for the development of the front-end and back-end. The application stack will comprise of (depending on the project) SQL, Django, Angular/React, HTML, CSS. Knowledge of GoLang and Big Data is a plus point.  

* Deployment: Suggest and implement a deployment strategy that is scalable and cost-effective. Create a detailed resource architecture and get it approved. CI/CD deployment on IIS or Linux. Knowledge of dockers is a plus point.  

* Maintenance: Maintaining development and production environments will be a key part of your job profile. This will also include trouble shooting, fixing bugs and suggesting ways for improving the application. 

* Data Migration: In the case of database migration, you will be expected to suggest appropriate strategies and implementation plans. 

* Documentation: Create a detailed document covering important aspects like HLD, Technical Diagram, Script Design, SOP etc. 

* Client Interaction: You will be interacting with the client on a day-to-day basis and hence having good communication skills is a must. 

**Requirements**

Education-B. Tech (Comp. Sc, IT) or equivalent 

Experience- 3+ years of experience developing applications on Django, Angular/React, HTML and CSS 

Behavioural Skills-

  1. Clear and Assertive communication 

  2. Ability to comprehend the business requirement  

  3. Teamwork and collaboration 

  4. Analytics thinking 

  5. Time Management 

  6. Strong Trouble shooting and problem-solving skills 

Technical Skills-

  1. Back-end and Front-end Technologies: Django, Angular/React, HTML and CSS. 

  2. Cloud Technologies: AWS, GCP and Azure 

  3. Big Data Technologies: Hadoop and Spark 

  4. Containerized Deployment: Dockers and Kubernetes is a plus.

  5. Other: Understanding of Golang is a plus.

AI / LLM Engineering — Good to Have

• Candidates with exposure to AI/LLM engineering will have a strong advantage as we build intelligent, AI-augmented AdTech solutions. None of the below is mandatory.
• LLMs: OpenAI (GPT-4/4o), Anthropic (Claude), Meta (Llama)
• Orchestration & Agents: LangChain, LangGraph, LlamaIndex
• Tool Calling / MCP: Function Calling (OpenAI / Anthropic), FastMCP or Custom MCP Servers
• RAG (Retrieval-Augmented Generation): RAG pipeline design, LlamaIndex, LangChain retrievers and chains
• Vector Databases: Pinecone, Weaviate, FAISS
• Embeddings: OpenAI Embeddings, Hugging Face Sentence Transformers
• Observability: LangSmith, Sentry
• Backend / Infra for AI: Django REST Framework, FastAPI.

Employment Type

Fulltime

Experience Level

Associate

Work Experience (years)

1.5- 4 Years

Annual Compensation 

INR 700,000 - 1,000,000

Skills

No of Openings

2

Role Objective

As a Fullstack Intern, you will gain hands-on experience in developing business-relevant, high-quality, and scalable web applications. You will work closely with our dynamic AdTech team to solve real-world challenges in the Media and Entertainment sector.

Roles & Responsibilities

• Application Design: Work with the team to understand requirements, contribute to user stories, and support the design process. Assist in reviewing designs, giving feedback, and ensuring alignment with user expectations.
• Architecture: Learn and contribute to designing scalable and robust system architectures (on-prem or cloud – Azure, AWS, or GCP).
• Development: Assist in front-end and back-end development using technologies such as SQL, Django, Angular/React, HTML, and CSS. Exposure to GoLang and Big Data will be a plus.
• Deployment: Support the implementation of scalable and cost-effective deployment strategies. Contribute to CI/CD processes on IIS or Linux. Familiarity with Dockers is a plus.
• Maintenance: Help in maintaining development and production environments, troubleshooting issues, fixing bugs, and suggesting improvements.
• Data Migration: Learn and assist in planning and implementing database migration strategies.
• Documentation: Contribute to technical documentation, including HLD, technical diagrams, script design, and SOPs.
• Client Interaction: Gain exposure to client communication and understand how to translate business requirements into technical solutions.

Requirements

Education – B.Tech (Computer Science, IT) or equivalent, currently pursuing or recently completed.

Experience – Previous internship experience is a plus.

Behavioural Skills

• Clear and assertive communication
• Ability to comprehend business requirements
• Teamwork and collaboration
• Analytical thinking
• Time management
• Problem-solving and troubleshooting skills.

Technical Skills

• Back-end & Front-end: Django, Angular/React, HTML, CSS
• Cloud Technologies: AWS, GCP, Azure
• Big Data: Hadoop, Spark (knowledge is a plus)
• Containerized Deployment: Dockers/Kubernetes (a plus)
• Other: Understanding of GoLang is a plus

About the company

Metron Security provides automation and integration services to leading Cyber Security companies. Our engineering team works on leading security platforms including - Splunk, IBM’s QRadar, ServiceNow, Crowdstrike, Cybereason, and other SIEM and SOAR platforms. 

Software Engineer is a challenging role within Cyber Security Engineering integration development. The role involves developing a product/service that achieves high-performance data exchange between two or more Cyber Security platforms. A Software Engineer is at the core of the evolution process and is responsible for the End-to-End delivery of the project, right from getting the requirements from customers to deploying the project for them on-prem or on the cloud, depending on the nature of the project. We follow the best practices of engineering and keep evolving. We are agile. 

Each integration needs reskilling yourself with the required technology for that project. If you are passionate about programming and believe in the best practices of software engineering, the following are the skills we are looking for: 

● Developer-centric culture - No bureaucracy or red tape. 

● Chance to work on 200+ security platforms. 

● Opportunity to engage with end-users (customers) and just a cog in the wheel.

About the role

We are looking for passionate developers with 4-7 years of experience in software development to join the Metron Security team as Software Engineers. 

Mandatory Skills 

• 4+ years of experience in software engineering, with a proven track record of leading engineering teams and mentoring junior developers. 
• Expertise in at least one or two Object-Oriented Programming language (Python, typescript, Java,Node.js,Angular, react.js C#, C++) . 
• Good knowledge of Data Structure and its correct usage. 
• Oversee code reviews, ensuring adherence to best practices and maintaining high code quality standards. 
• Imbibe and maintain a strong customer delight attitude while designing and building products/services.

Other Requirements 

• Open to learn any new software development skill if needed for the project.
• Alignment and utilisation of the core enterprise technology stacks and integration capabilities throughout the transition states. 
• Participate in planning, definition, and high-level design of the solution and exploration of solution alternatives. 
• Define, explore, and support the implementation of enablers to evolve solution intent, working directly with Agile teams to implement them. 
• Good knowledge of the implications of Cyber Security on production.
• Experience in architecting & estimating deep technical custom solutions & integrations. 
• Manage the customer to ensure we have a continuous flow of work from them so that the team has enough work for at least a month. 
• Mentor and coach team members, providing technical guidance and fostering professional development. 

Added advantage: 

• Experience in the Cyber Security domain.
• Experience in developing software using web technologies. 
• Experience in handling a project from start to end. 
• Hands-on experience in an Agile Development project and in writing and estimating User Stories. 
• Contribution to open source - Please share your link in the application/resume if any.

You will be at the forefront of Byteridge's AI infrastructure capabilities, helping customers unlock the full potential of foundation models through expert-level deployment on GPU infrastructure.

This highly technical role requires deep expertise in machine learning infrastructure, GPU optimization, and production ML systems, combined with the ability to translate complex technical concepts into customer success.

What You'll Do

Model Deployment & Optimization

• Lead end-to-end deployments of large language models on AWS infrastructure for strategic

customers

• Design and implement training, fine-tuning, and inference pipelines using Amazon SageMaker AI

• Optimize model performance through GPU-level tuning, kernel optimization, and infrastructure

configuration

• Deploy models on diverse GPU architectures including NVIDIA and AWS custom silicon (Trainium,

Inferentia)

Infrastructure Architecture & Performance

• Architect scalable ML infrastructure using SageMaker AI Inference, HyperPod, and distributed

training frameworks

• Implement CUDA-level optimizations and custom kernels for improved model performance

• Design storage and networking architectures optimized for high-throughput ML workloads

• Troubleshoot and resolve complex performance bottlenecks at the GPU driver and kernel level

Customer Engagement & Technical Leadership

• Partner with AWS AI Specialist Solution Architects and customer ML teams to understand model

requirements and deployment constraints

• Provide technical guidance on model selection, fine-tuning strategies, and production best practices

• Conduct performance benchmarking and cost optimization analysis for ML workloads

• Share field insights with AWS product teams to influence infrastructure and service roadmaps

What We're Looking For

Core Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience (Master's or

PhD preferred)

• 5+ years of experience in machine learning infrastructure, model deployment, or GPU computing

• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, JAX)• Deep understanding of LLM architectures, training methodologies, and inference optimization

Technical Expertise (High-Level Alignment)

• Hands-on experience training, fine-tuning, or deploying large language models in production

• Proficiency with GPU programming, CUDA, and kernel-level optimization techniques

• Experience with distributed training frameworks and multi-GPU/multi-node orchestration

• Strong knowledge of AWS core services: EC2 (GPU instances), S3, EFS, VPC, and networking

Preferred Experience

• Direct experience with Amazon SageMaker AI (Training, Inference, HyperPod) or equivalent ML

platforms

• Understanding of GPU architectures (NVIDIA A100, H100) and AWS custom silicon (Trainium,

Inferentia)

• Experience with model compression techniques (quantization, pruning, distillation)

• Knowledge of MLOps practices, model monitoring, and production ML system design

• Background in high-performance computing, distributed systems, or systems programming

Essential Attributes

• Ability to dive deep into technical problems and debug complex infrastructure issues

• Strong analytical skills with data-driven approach to optimization

• Excellent communication skills to explain complex technical concepts to diverse audiences

• Comfortable working in ambiguous, fast-paced environments with evolving requirements

• Ownership mindset with ability to drive projects from architecture to production

Application Deployment Engineers / Deployment Engineer – Video Analytics / CCTV Solutions / Application Implementation Engineer

Company Name

Paralaxiom Technologies Private Limited

Company Website

https://www.vast.vision/

https://www.linkedin.com/company/paralaxiom

Company details

Paralaxiom Technologies is involved in deep learning algorithms to develop video analytics-based security and compliance applications. They offer OCR products and image classification tools enhanced by machine learning algorithms and robust statistical analysis. We are among the earliest practitioners of AI software and we have world-class credentials in these technologies. They offer products like Paralaxiom VAST(Video Analytics and Surveillance Toolkit) and Paralaxiom AMPLE(Paralaxiom natural language processing platform).

In today's world, all premises be it manufacturing, hospitals, offices, hotels, cities, airports, shops, warehouses etc. are covered with CCTV Cameras. Continuous monitoring through dedicated command center or e-surveillance is proving to be ineffective as well as costly to manage.

We have pioneered the use of AI / ML technologies to headlessly live monitor CCTV cameras to generate very accurate alerts, alarms & insights and deliver them directly to the right stakeholders for quick, proactive action.

We have worked closely with hundreds of customers from diverse industries, AI Hardware Partners, CCTV OEMs, VMSs, System Integrators & Consultants to bring to the world VAST, an enterprise-ready Video Surveillance as a Service (VSaaS) solution.

Location: Pune / Bangalore / Chennai

Mode of Working: Work From Office 

Days of Working: 5 Days a week

Responsibilities

Position Overview:

Paralaxiom is a video analytics and machine vision company with its VAST product line a path-breaking product for safety, security, and operations for CCTV operations.

We are looking for application engineers for this product line.

Experience: 1 -2 years

Key Responsibilities:

1) Gathering information from customers on their needs and understanding how VAST software matches their desires

2) Design the solution and installation of the software

3 ) Making sure the VAST software continues to work properly after maintenance and testing

4) Take notes of all aspects of the application for future upgrades and maintenance

5) Troubleshooting the software

6) Training the end users

7) Excellent Knowledge of Python and shell scripting

8) Working knowledge of IP networking and troubleshooting

We need someone with 1-2 years of experience with the following skillset:

Great communication skills

Debugging and analytical skills

Knowledge of hardware and software integration will be a plus

Knowledge of Camera NVR will be a plus

Hands-on system and functional testing will be a plus

Interview process: 3 Video + Final Discussion - F2F

Senior Data Engineer (Databricks, BigQuery, Snowflake)

Experience: 8+ Years in Data Engineering

Location: Remote | Onsite (Noida, Gurgaon, Pune, Nagpur, Jaipur, Gandhinagar)

Budget: Open / Competitive

Job Summary:

We are seeking a highly skilled Senior Data Engineer to design, build, and optimize scalable data solutions that support advanced analytics and machine learning initiatives. You will lead the development of reliable, high-performance data systems and collaborate closely with data scientists to enable data-driven decision-making.

In this role, we expect a forward-thinking professional who utilizes AI-augmented development tools (such as Cursor, Windsurf, or GitHub Copilot) to increase engineering velocity and maintain high code standards in a modern enterprise environment.

Key Responsibilities:

• Scalable Pipelines: Design, develop, and optimize end-to-end data pipelines using SQL, Python, and PySpark.
• ETL/ELT Workflows: Build and maintain workflows to transform raw data into structured, analytics-ready datasets.
• ML Integration: Partner with data scientists to deploy and integrate machine learning models into production environments.
• Cloud Infrastructure: Manage and scale data infrastructure within AWS and Azure ecosystems.
• Data Warehousing: Utilize Databricks and Snowflake for big data processing and enterprise warehousing.
• Automation & IaC: Implement workflow orchestration using Apache Airflow and manage infrastructure as code via Terraform.
• Performance Tuning: Optimize data storage, retrieval, and system performance across data warehouse platforms.
• Governance & Compliance: Ensure data quality and security using tools like Unity Catalog or Hive Metastore.
• AI-Augmented Development: Integrate AI tools and LLM APIs into data pipelines and use AI IDEs to streamline debugging and documentation.

Technical Requirements:

• Experience: 8+ years of core Data Engineering experience in large-scale enterprise or consulting environments.
• Languages: Expert proficiency in SQL and Python for complex data processing.
• Big Data: Hands-on experience with PySpark and large-scale distributed computing.
• Architecture: Strong understanding of ETL frameworks, data pipeline architecture, and data warehousing best practices.
• Cloud Platforms: Deep working knowledge of AWS and Azure.
• Modern Tooling: Proven experience with Databricks, Snowflake, and Apache Airflow.
• Infrastructure: Experience with Terraform or similar IaC tools for scalable deployments.
• AI Competency: Proficiency in using AI IDEs (Cursor/Windsurf) and integrating AI/ML models into production data flows.

Preferred Qualifications:

• Exposure to data governance and cataloging tools (e.g., Unity Catalog).
• Knowledge of performance tuning for massive-scale big data systems.
• Familiarity with real-time data processing frameworks.
• Experience in digital transformation and sustainability-focused data projects.

Job Summary:

We are looking for a highly motivated and skilled Software Engineer to join our team.

This role requires a strong understanding of the software development lifecycle, proficiency in coding, and excellent communication skills.

The ideal candidate will be responsible for production monitoring, resolving minor technical issues, collecting client information, providing effective client interactions, and supporting our development team in resolving challenges

Key Responsibilities:

Client Interaction: Serve as the primary point of contact for client queries, provide excellent communication, and ensure timely issue resolution.

Issue Resolution: Troubleshoot and resolve minor issues related to software applications in a timely manner.

Information Collection: Gather detailed technical information from clients, understand the problem context, and relay the information to the development leads for further action.

Collaboration: Work closely with development leads and cross-functional teams to provide timely support and resolution for customer issues.

Documentation: Document client issues, actions taken, and resolutions for future reference and continuous improvement.

Software Development Lifecycle: Be involved in maintaining, supporting, and optimizing software through its lifecycle, including bug fixes and enhancements.

Automating Redundant Support Tasks: (good to have) Should be able to automate the redundant repetitive tasks Required Skills and Qualifications:

Mandatory Skills:

Expertise in at least one Object Oriented Programming language (Python, Java, C#, C++, Reactjs, Nodejs).

Good knowledge on Data Structure and their correct usage.

Open to learn any new software development skill if needed for the project.

Alignment and utilization of the core enterprise technology stacks and integration capabilities throughout the transition states.

Participate in planning, definition, and high-level design of the solution and exploration of solution alternatives.

Define, explore, and support the implementation of enablers to evolve solution intent, working directly with Agile teams to implement them.

Good knowledge on the implications.

Experience architecting & estimating deep technical custom solutions & integrations.

Added advantage:

You have developed software using web technologies.

You have handled a project from start to end.

You have worked in an Agile Development project and have experience of writing and estimating User Stories

Communication Skills: Excellent verbal and written communication skills, with the ability to clearly explain technical issues to non-technical clients.

Client-Facing Experience: Strong ability to interact with clients, gather necessary information, and ensure a high level of customer satisfaction.

Problem-Solving: Quick-thinking and proactive in resolving minor issues, with a focus on providing excellent user experience.

Team Collaboration: Ability to collaborate with development leads, engineering teams, and other stakeholders to escalate complex issues or gather additional technical support when required.

Preferred Skills:

Familiarity with Cloud Platforms and Cyber Security tools: Knowledge of cloud computing platforms and services (AWS, Azure, Google Cloud) and Cortex XSOAR, SIEM, SOAR, XDR tools is a plus.

Automation and Scripting: Experience with automating processes or writing scripts to support issue resolution is an advantage.

Experience: 6+ Years

Location: Chennai & Pune

Work Model: Hybrid

Notice Period: Immediate Joiners Preferred

Role Overview

We are looking for a highly skilled Senior Python Engineer to design, develop, and scale robust backend systems and data-driven applications. The ideal candidate should have strong problem-solving skills, experience with modern Python frameworks, and exposure to cloud and emerging technologies like Generative AI and LLMs.

Key Responsibilities

• Design, develop, and maintain scalable applications using Python
• Build and optimize RESTful APIs using Flask or FastAPI
• Work on data manipulation, processing, and transformation using Python libraries
• Collaborate with cross-functional teams to define and deliver high-quality solutions
• Develop efficient, reusable, and reliable code with strong attention to performance
• Implement containerization and orchestration using Docker and Kubernetes
• Ensure application security, data protection, and compliance best practices
• Manage code versioning using Git and follow CI/CD best practices
• Contribute to cloud-based deployments and infrastructure
• Explore and implement solutions using Generative AI and Large Language Models (LLMs)

Required Skills & Qualifications

• 6+ years of hands-on experience in Python development
• Strong understanding of Python fundamentals and problem-solving skills
• Experience with data manipulation libraries (e.g., Pandas, NumPy)
• Expertise in building REST APIs using Flask or FastAPI
• Solid understanding of ORM frameworks (e.g., SQLAlchemy, Django ORM)
• Experience with cloud platforms (AWS, Azure, or GCP)
• Hands-on experience with Docker and Kubernetes
• Strong knowledge of application security principles
• Proficiency in Git and version control practices
• Exposure to Generative AI concepts and working with LLMs

JOB DETAILS:

- Job Title: Lead I - Data Science - Python, Machine Learning, Spark 

- Industry: Global Digital Transformation Solutions Provider

- Experience: 5-10 years

- Job Location: Pune

- CTC Range: Best in Industry

JD for Data Scientist

Hands-on experience with data analysis tools:

Proficient in using tools such as Python and R for data manipulation, querying, and analysis.

Skilled in utilizing libraries like Pandas, NumPy, and Scikit-Learn to perform in-depth data analysis and modeling.

Skilled in machine learning and predictive analytics:

Expertise in building, training, and deploying machine learning models using frameworks such as TensorFlow and PyTorch.

Capable of performing tasks like regression, classification, clustering, and recommendation, leading to data-driven predictions and insights.

Expertise in big data technologies:

Proficient in handling large datasets using big data tools such as Spark.

Skilled in employing distributed computing and parallel processing techniques to ensure efficient data processing, storage, and analysis, enabling enterprise-level solutions and informed decision-making

Skills: Python, SQL, Machine Learning, and Deep Learning, with mandatory expertise in Generative AI.

Must-Haves

5–9 years of relevant experience in Python, SQL, Machine Learning, and Deep Learning, with mandatory expertise in Generative AI

******

NP - Immediate joiners only

Location-Pune 

Job Description :

Responsibilities :

- Design and develop Python-based microservices

- Build and operate gRPC / Protobuf-based APIs

- Implement asynchronous processing, concurrency, and job orchestration

- Design systems with retries, idempotency, and fault tolerance

- Work with and integrate native C/C++ components with Python services

- Design and optimise PostgreSQL schemas and queries

- Contribute to React-based frontend applications (TypeScript/JavaScript)

- Own features end-to-end : design, development, deployment, and monitoring

- Debug issues across application, system, and performance layers

- Build and maintain CI/CD pipelines and automated tests

Requirements :

- Strong experience in Python backend development (sync + async)

- Hands-on experience with gRPC / Protobuf-based APIs

- Experience with FastAPI / Flask / Django

- Strong understanding of microservices and distributed systems

- Experience with PostgreSQL and data modeling

- Exposure to React / JavaScript / TypeScript

- Knowledge of concurrency, multi-threading, and system design

- Strong understanding of Linux systems and debugging

- Experience in production environments (performance tuning, issue resolution)

- Exposure to C/C++ or Python-native integrations (preferred)

Qualification :

- Engineering Graduates from Tier 1 & Tier 2 Colleges/Deemed Universities only

- Open for candidates from outstation.

- Experience range : 12 - 15 years (but not more than 15 years of experience)

- Strictly Individual contributors, Handson coding. 80% Individual Contributor & 20% Architecture, Design, Systems

About the role

We are looking for talented Senior Backend Engineers (5+ years of experience) to join our team and take ownership of different parts of our stack. You will be working alongside a team of Engineers locally and directly with the U.S. Engineering team on all aspects of product/application development. You will leverage your experiences and abilities to inform decisions across product development and technology. You will help us build the foundation of our 2nd Headquarters in Pune: its culture, its processes, and its practices. There are a ton of interesting problems to solve, so come hungry. If your colleagues describe you as curious, driven, kind, and creative you are a culture fit.

What Success Looks Like

• You write, review and ship code in production. Your employer or client's success depends on the software you build
• You use Generative AI tools on a daily basis to enhance the quality and efficacy of your software and non-software deliverables
• You are a self-starter and enjoy working with minimal supervision
• You evaluate and make technical architecture decisions with a long-term view, optimizing for speed, quality, and safety
• You take pride in the product you create and the code that you write
• Your team can rely on you to get them out of a sticky situation in production
• You can work well on a team of sales executives, designers and engineers in an in-person environment
• You are passionate about the enterprise software development lifecycle and feel strongly about improving it
• You are a first principles engineer who exercises curiosity about the technologies you work with
• You can learn quickly about technologies, software and code that you are not familiar with, often from rudimentary documentation
• You take ownership of the code that you write, and you help the team operate with everything that you build, throughout its lifecycle
• You communicate openly and solicit feedback on important decisions, keeping the team aligned on your rationale
• You exercise an optimistic mindset and are willing to go the extra mile to make things work

Areas of Ownership

Our hiring process is designed for you to demonstrate a generalist set of capabilities, with a specialization in Backend Technologies.

Required Technical Experience (MUST HAVE):

• Expertise in Python -
• Deep hands-on experience with Terraform -
• Proficiency in Kubernetes -
• Experience with cloud platforms (GCP strongly preferred, AWS/Azure acceptable) -

Additional experience with some of the following:

• Backend Frameworks and Technologies (Node.js, NuxtJS, Express.js)
• Programming languages (JavaScript, TypeScript, Java, C++, Go)
• RPCs (REST, gRPC or GraphQL)
• Databases (SQL, NoSQL, Postgres, MongoDB, or Firebase)
• CI/CD (Jenkins, CircleCI, GitLab or similar)
• Source code versioning tools such as Git or Perforce
• Microservices architecture

Ways to stand out

• Familiarity with AI Platforms
• Extensive experience with building enterprise-scale applications with >99% SLAs
• Deep expertise across the full required stack: Python, Terraform, Kubernetes, and GCP

You'll Get...

• Competitive Salary
• Medical Insurance Benefits
• Employer Provident Fund contributions with Gratuity after 5 years of service
• Company-sponsored US onsite trips for high performers, based on business requirements
• Potential international transfer support for top performers, based on business requirements
• Technology (hardware, software, trainings, etc.) equipment and/or allowance
• The opportunity to re-shape an entire industry
• Beautiful office environment
• Meal allowance and/or food provision on site

Culture

Who we are: Our Co-Founder and CTO is a Serial Gen AI Inventor who grew up in Pune, India, is a BITS Pilani graduate, and worked at NVIDIA's Pune office for 6 years. There, he was promoted 5 times in 6 years and was transferred to the NVIDIA Headquarters in Santa Clara, California. After making significant contributions to NVIDIA, he proceeded to attend Harvard for his dual Masters in Engineering and MBA from HBS. Our other Co-Founder/CEO is a successful Serial Entrepreneur who has built multiple companies. As a team, we work very hard, have a curious mind-set, and believe in a low-ego high output approach.

About the Role

We are looking for an experienced Django Developer to join our on-site engineering team in Pune. This role involves building and scaling high-performance backend systems for our SaaS products. You will work closely with product, frontend, and DevOps teams to design robust APIs, optimize databases, and deliver production-grade solutions.

This is a hands-on role with ownership, technical depth, and real impact.

Key Responsibilities

• Design, develop, test, and maintain scalable backend services using Django & Python
• Architect and implement secure, high-performance RESTful APIs
• Work extensively with PostgreSQL for schema design, query optimization, indexing, and performance tuning
• Build and manage asynchronous workflows using Celery
• Implement real-time features using Daphne, Redis, and WebSockets (ASGI stack)
• Containerize applications using Docker; manage Docker Compose and environment setups
• Collaborate with frontend developers, product managers, and designers for seamless delivery
• Perform code reviews, mentor junior developers, and enforce best practices
• Ensure application security, scalability, and reliability
• Monitor system performance and handle debugging, logging, and error management
• Maintain clear documentation for APIs, services, and deployment workflows
• 
  

Required Skills & Qualifications

• 3-4 years of hands-on experience with Django & Python
• Strong expertise in REST API design and backend architecture
• Advanced knowledge of PostgreSQL (queries, indexing, optimization)
• Solid experience with Celery for background tasks
• Hands-on experience with Daphne, Redis, and WebSockets
• Strong command over Docker & containerized deployments
• Proficiency with Git/GitHub workflows, PR reviews, and basic CI
• Excellent understanding of ORM concepts and database modeling
• Strong problem-solving, debugging, and communication skills
• Experience using AI/LLM tools to improve productivity is a plus
• 
  

Nice-to-Have

• Experience with cloud platforms (AWS / GCP / Azure)
• Exposure to CI/CD pipelines and deployment automation
• Familiarity with monitoring tools (Sentry, Prometheus, Grafana, etc.)
• Basic frontend understanding (HTML, CSS, JavaScript)
• Experience handling high-traffic systems and performance optimization
• Exposure to Agile / Scrum environments
• 
  

What We Offer

• Competitive salary package
• Opportunity to work on scalable SaaS and AI-driven platforms
• Strong engineering culture with ownership and autonomy
• On-site collaborative environment with fast decision-making
• Learning, growth, and leadership opportunities
• Challenging projects with end-to-end responsibility

Expectations & Deliverables

• Production-ready, well-tested, and maintainable code
• Proactive communication and ownership of deliverables
• High-quality documentation and clean architecture practices
• Adherence to security, compliance, and IP standards

About the Role

We are looking for a strong software engineer who actively uses AI to build better software faster. This is a backend-heavy engineering role where LLMs and AI systems are integrated into real production applications.

You will design, build, deploy, and maintain AI-enabled systems, while maintaining strong engineering discipline and code quality.

Key Responsibilities

• Architect and build scalable backend systems (Python / FastAPI preferred)
• Integrate LLM APIs, RAG pipelines, and AI workflows into production applications
• Deploy and maintain containerized applications on AWS/Azure
• Use AI coding assistants and agents to accelerate development, without compromising code quality
• Convert ambiguous requirements into production-ready systems

Must-Have Skills

• 7+ years of professional software engineering experience
• Strong Python backend experience
• Experience building REST APIs and production systems
• Solid understanding of system design and clean architecture
• Hands-on experience with Docker and Linux
• Experience deploying to AWS or Azure
• Experience integrating LLM APIs into applications
• Experience with embeddings / vector databases / RAG pipelines
• Strong Git and collaborative development workflows
• Ability to operate independently in ambiguous environments

Most importantly:

• Strong engineering fundamentals
• High ownership mindset
• Comfort using AI tools to move fast
• Discipline to maintain structure and quality

Good-to-Have

• Experience with real-time streaming or WebSockets
• Kubernetes deployment experience
• Experience in a fast-paced startup or consulting environment
• Familiarity with agent frameworks or voice/multimodal systems

Screening Requirement

Please include:

• A portfolio of systems you’ve built (especially AI-enabled systems), and
• A short note explaining how you use AI tools in your development workflow.

We are specifically looking for engineers who lean into AI agents and coding assistants, but still understand architecture, performance, and clean code.

Lead Data Engineer

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

Your Responsibilities

What you will wake up to solve.

• Lead Technical Design & Data Architecture: Architect and lead the end-to-end development of scalable, cloud-native data platforms. You’ll guide the squad on critical architectural decisions—choosing between Batch vs. Streaming or ETL vs. ELT—while remaining 100% hands-on, contributing high-quality, production-grade code.
• Build High-Velocity Data Pipelines: Drive the implementation of robust data transports and ingestion frameworks using Python, SQL, and Spark. You will build integration layers that connect heterogeneous sources (SaaS, RDBMS, NoSQL) into unified, high-availability environments like BigQuery, Snowflake, or Redshift.
• Mentor & Elevate the Squad: Foster a culture of technical excellence by mentoring and inspiring a team of data analysts and engineers. Lead deep-dive code reviews, promote best-practice data modeling (Star/Snowflake schema), and ensure the squad adopts modern engineering standards like CI/CD for data.
• Drive AI-Ready Data Strategy: Be the expert in designing data foundations optimized for AI and Machine Learning. You will champion the use of GCP (Dataflow, Pub/Sub, BigQuery) and AWS (Lambda, Glue, EMR) to create "clean room" environments that fuel advanced analytics and generative AI models.
• Partner with Clients as a Technical DRI: Act as the Directly Responsible Individual for client success. Translate ambiguous business questions into elegant data services, manage project deliverables using Agile methodologies, and ensure that the data provided is accurate, consistent, and mission-critical.
• Troubleshoot & Optimize for Scale: Own the reliability of the reporting layer. You will proactively monitor pipelines, troubleshoot complex transformation bottlenecks, and propose ways to improve platform performance and cost-efficiency.
• Innovate and Build Reusable IP: Spearhead the creation of reusable data frameworks, custom operators, and transformation libraries that accelerate future projects and establish Searce’s unique technical advantage in the market.

Welcome to Searce

The AI-Native tech consultancy that's rewriting the rules.

Searce is an AI-native, engineering-led, modern tech consultancy that empowers clients to futurify their business by delivering intelligent, impactful, real business outcomes. Searce solvers co-innovate with clients as their trusted transformational partners ensuring sustained competitive advantage. Searce clients realize smarter, faster, better business outcomes delivered by AI-native Searce solver squads. 

Functional Skills 

the solver personas.

• The Data Architect: This persona deconstructs ambiguous business goals into scalable, elegant data blueprints. They don't just move data; they design the foundation—from schema design to partitioning strategies—that allows data scientists and analysts to thrive, foreseeing technical bottlenecks and making pragmatic trade-offs.
• The Player-Coach: As a hands-on leader, this persona leads from the front by writing exemplary, production-grade SQL and Python while simultaneously mentoring and elevating the skills of the squad. Their success is measured by the team's ability to deliver high-quality, maintainable code and their growth as engineers.
• The Pragmatic Innovator: This individual balances a passion for modern data tech (like Generative AI and Real-time Streaming) with a sharp focus on business outcomes. They champion new tools where they add real value but are disciplined enough to choose stable, cost-effective solutions to meet deadlines and deliver robust products.
• The Client-Facing Technologist: This persona acts as the crucial technical bridge between the data squad and the client. They build trust by listening actively, explaining complex data concepts (like data latency or idempotency) in simple terms, and demonstrating how engineering decisions align with the client’s strategic goals.
• The Quality Craftsman: This individual possesses an unwavering commitment to data integrity and treats data engineering as a craft. They are the guardian of the reporting layer, advocating for robust testing, data validation frameworks, and clean, modular code to ensure the long-term reliability of the data platform.

Experience & Relevance 

• Engineering Depth: 7-10 years of professional experience in end-to-end data product development. You have a portfolio that proves your ability to build complex, high-velocity pipelines for both Batch and Streaming workloads.
• Cloud-Native Fluency: Deep, hands-on experience designing and deploying scalable data solutions on at least one major cloud platform (AWS, GCP, or Azure). You are comfortable navigating the nuances of EMR, BigQuery, or Synapse at scale.
• AI-Native Workflow: You don’t just build for AI; you build with AI. You must be proficient in using AI coding assistants (e.g., GitHub Copilot) to accelerate your delivery and have a track record of building the data foundations required for Generative AI.
• Architectural Portfolio: Evidence of leading 2-3 large-scale transformations—including platform migrations, data lakehouse builds, or real-time analytics architectures.
• Client-Facing Acumen: You have direct experience in a consultative, client-facing role. You can confidently translate a CEO’s business vision into a Lead Engineer’s technical specification without losing anything in translation.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

Director - Data engineering

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

Your Responsibilities

what you will wake up to solve.

1. Delivery & Tactical Rigor

• Methodology Implementation: Implement and manage a unified, 'DataOps-First' methodology for data engineering delivery (ETL/ELT pipelines, Data Modeling, MLOps, Data Governance) within assigned business units. This ensures predictable outcomes and trusted data integrity by reducing architecture variability at the project level.
• Operational Stewardship: Drive initiatives to optimize team utilization and enhance operational efficiency within the practice. You manage the commercial success of your squads, ensuring data delivery models (from migration to modern data stack implementation) are executed profitably, scalably, and cost-effectively.
• Execution & Technical Resolution
• Technical Escalation: Serve as the primary escalation point for delivery issues, personally leading the resolution of complex data integration bottlenecks and pipeline failures to protect client timelines and data reliability standards.
• Quality Enforcement
• Quality Oversight: Execute and monitor technical data quality standards, ensuring engineering teams adhere to strict policies regarding data lineage, automated quality checks (observability), security/privacy compliance (GDPR/CCPA/PII), and active catalog management.

2. Strategic Growth & Practice Scaling

• Talent & Scaling Execution: Execute the strategy for data engineering talent acquisition and development within your business units. Implement objective metrics to assess and grow the 'Data-Native' DNA of your teams, ensuring squads are consistently equipped to handle petabyte-scale environments and high-impact delivery.
• Offerings Alignment: Drive the adoption of standardized regional offerings (e.g., Modern Data Platform, Data Mesh, Lakehouse Implementation). Ensure your teams leverage the profitable frameworks defined by the practice to accelerate time-to-insight and eliminate architectural fragmentation in client environments.
• Innovation & IP Development: Lead the practical integration of Vector Databases and LLM-ready architectures into project delivery. Champion the hands-on development of IP and reusable accelerators (e.g., automated ingestion engines) that improve delivery speed and enhance data availability across your portfolio.

3. Leadership & Unit Management

• Unit Leadership: Directly lead, mentor, and manage the Engineering Managers and Lead Architects within your business unit. Hold your teams accountable for project-level operational consistency, technical talent development, and strict adherence to the practice's data governance standards.
• Stakeholder Communication: Clearly articulate the business unit’s operational performance, technical quality metrics, and delivery progress to the C-suite Stakeholders and regional client leadership, bridging the gap between technical execution and business value.
• Ecosystem Alignment: Maintain strong technical relationships with key partner contacts (Snowflake, Databricks, AWS/GCP). Align team delivery capabilities with current product roadmaps and ensure squad-level participation in training, certifications, and partner-led enablement opportunities.

Welcome to Searce

The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules.

We don’t do traditional.

As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better.

Functional Skills

1. Delivery Management & Operational Excellence

• Methodology Execution: Expert capability in implementing and enforcing a unified delivery methodology (DataOps, Agile, Mesh Principles) within specific business units. Proven track record of auditing squad-level adherence to ensure consistency across the project lifecycle.
• Operational Performance: High proficiency in managing day-to-day operational metrics, including squad utilization, resource forecasting, and productivity tracking. Skilled at optimizing team performance to meet profitability and efficiency targets.
• SOW & Risk Mitigation: Proven experience in operationalizing Statement of Work (SOW) requirements and identifying technical delivery risks early. Expert at mitigating scope creep and data-specific bottlenecks (e.g., latency, ingestion gaps) before they impact client outcomes.
• Technical Escalation Leadership: Demonstrated ability to lead "war room" efforts to resolve complex pipeline failures or data integrity issues. Skilled at providing clear, rapid remediation plans and communicating technical status directly to regional stakeholders.

2. Architectural Implementation & Technical Oversight

• Modern Stack Proficiency: Deep, hands-on expertise in implementing Cloud-Native architectures (Lakehouse, Data Mesh, MPP) on Snowflake, Databricks, or hyperscalers. Ability to conduct deep-dive architectural reviews and course-correct design decisions at the squad level to ensure scalability.
• Operationalizing Governance: Proven experience in embedding data quality and observability (completeness, freshness, accuracy) directly into the CI/CD pipeline. Responsible for technical enforcement of regulatory compliance (GDPR/PII) and maintaining the integrity of data catalogs across active projects.
• Applied Domain Expertise: Practical experience leading the delivery of high-growth solutions, specifically Generative AI infrastructure (RAG, Vector DBs), Real-Time Streaming, and large-scale platform migrations with a focus on zero-downtime execution.
• DataOps & Engineering Standards: Expert-level mastery of DataOps, including the setup and management of orchestration frameworks (Airflow, Dagster) and Infrastructure as Code (IaC). You ensure that automation is a baseline requirement, not an afterthought, for all delivery teams.

3. Unit Management & Commercial Execution

• Unit & Team Management: Proven success in leading and mentoring Engineering Managers and Lead Architects. Responsible for the operational metrics, technical output, and career development of the business unit's talent pool.
• Offerings Implementation & Scoping: Expertise in translating service offerings (e.g., Data Maturity Assessments, Lakehouse Builds) into accurate project scopes, technical estimates, and resource plans to ensure delivery is both profitable and competitive.
• Talent Growth & Mentorship: Functional ability to implement growth frameworks for data engineering roles. Focus on hands-on coaching and scaling high-performance technical talent to meet the demands of complex, petabyte-scale environments.
• Partner Enablement: Functional competence in managing regional technical relationships with major partners (Snowflake, Databricks, GCP/AWS). Drives squad-level certifications, joint technical enablement, and alignment with partner product roadmaps.

Tech Superpowers

• Modern Data Architect – Reimagines business with the Modern Data Stack (MDS) to deliver data mesh implementations, insights, & real value to clients.
• End-to-End Ecosystem Thinker – Builds modular, reusable data products across ingestion, transformation (ETL/ELT), governance, and consumption layers.
• Distributed Compute Savant – Crafts resilient, high-throughput architectures that survive petabyte-scale volume and data skew without breaking the bank.
• Governance & Integrity Guardian – Embeds data quality, complete lineage, and privacy-by-design (GDPR/PII) into every table, view, and pipeline.
• AI-Ready Orchestrator – Engineers pipelines that bridge structured data with Unstructured/Vector stores, powering RAG models and Generative AI workflows.
• Product-Minded Strategist – Balances architectural purity with time-to-insight; treats every dataset as a measurable "Data Product" with clear ROI.
• Pragmatic Stack Curator – Chooses the simplest tools that compound reliability; fluent in SQL, Python, Spark, dbt, and Cloud Warehouses.
• Builder @ Heart – Writes, reviews, and optimizes queries daily; proves architectures with cost-performance benchmarks, not slideware. Business-first, data-second, outcome focused technology leader.

Experience & Relevance

• Executive Experience: Minimum 10+ years of progressive experience in data engineering and analytics, with at least 3 years in a Senior Manager or Director -level role managing multiple technical teams and owning significant operational and efficiency metrics for a large data service line.
• Delivery Standardization: Demonstrated success in defining and implementing globally consistent, repeatable delivery methodologies (DataOps/Agile Data Warehousing) across diverse teams.
• Architectural Depth: Must retain deep, current expertise in Modern Data Stack architectures (Lakehouse, MPP, Mesh) and maintain the ability to personally validate high-level architectural and data pipeline design decisions.
• Operational Leadership: Proven expertise in managing and scaling large professional services organizations, demonstrated ability to optimize utilization, resource allocation, and operational expense.
• Domain Expertise: Strong background in Enterprise Data Platforms, Applied AI/ML, Generative AI integration, or large-scale Cloud Data Migration.
• Communication: Exceptional executive-level presentation and negotiation skills, particularly in communicating complex operational, data quality, and governance metrics to C-level stakeholders.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

Company: Wissen Technology

Website: www.wissen.com

LinkedIn: https://www.linkedin.com/company/wissen-technology/

Wissen Technology, part of the Wissen Group founded in 2000, is a specialized technology company delivering high-end consulting services across Banking & Finance, Telecom, and Healthcare domains. The organization has grown significantly in recent years and works with several Fortune 500 clients including Morgan Stanley, Goldman Sachs, MSCI, StateStreet, Flipkart, and others.

Position Name - Senior Python Full Stack developers with Agentic AI

Location - Mum/Pune

Experience: 8-12 years. 

Key Responsibilities 

• Agent Development: Design, build, and deploy autonomous agents capable of independent decision-making, planning, and task execution.
• AI Orchestration: Utilize frameworks like LangGraph, AutoGen, CrewAI, or LangChain to orchestrate complex agentic workflows.
• LLM Integration: Integrate Large Language Models (LLMs) (e.g., GPT-4, Claude) with internal tools, vector databases, and external APIs using Retrieval-Augmented Generation (RAG) techniques.
• System Optimization: Optimize AI models for performance, scalability, and security in production environments.
• Memory & Context: Implement memory management for agents to ensure context retention across long-running tasks.
• Evaluation & Monitoring: Develop evaluation frameworks for agent performance and maintain agent observability (AgentOps). Naukri.com +3

Required Technical Skills

• Programming: Strong expertise in Python OOPs , asynchronous programming, and RESTful APIs.
• AI Frameworks and Tools : Deep knowledge of LangChain, LangGraph or AutoGen.
• Tools & Technologies: Vector Databases (Pinecone, Chroma), Prompt Engineering, and Agentic Design Patterns.
• Cloud & DevOps: Experience with AWS, GCP, or Azure and containerization (Docker, Kubernetes) for AI deployment.
• Database: Experience with SQL/NoSQL databases. 

Essential Functions/Responsibilities

• Provide hands-on development in the application development, unit test, and rollout of

strategic web and Mobile initiatives.

• Develop both front-end and back-end for web/mobile applications, working with a hybrid

internal/vendor team, to support various lines of business and functional areas

• Work with Business Owners and Business Analysis teams, to create business requirements.

• Document technical requirements and technical specifications for Web/Mobile

applications (and related integrated solutions) and provide technical solutions to support

those needs.

• Provide feedback (and approval) on technical designs and methods to support business

requirements.

• Effectively communicate relevant project planning and status information to

leadership/management.

• Deliver engaging, informa<ve, well-organized demos/presenta<ons that are effectively

tailored to the intended audience, as needed

About the Role

Pendo is looking for a Senior Engineering Manager to lead teams building core product capabilities across Analytics, Guides, and Platform services. These are the systems that power how hundreds of millions of end users experience the software.

In this role, you will drive execution against business objectives, direct complex initiatives from kickoff through delivery, and build a team that operates with clarity and focus. You will set clear expectations, delegate effectively, and partner closely with product, design, and senior engineering leadership to keep teams aligned and moving. You default toward action, push teams to deliver value daily, and actively use AI tools as part of how you work.

If you're energized by directing high-impact teams, developing strong engineers, and building a culture where craft and velocity coexist, this role is a great fit.

What You'll Do

Team Leadership & Hiring

• Create an environment where engineers are encouraged to take risks, experiment, and challenge the status quo.
• Lead, mentor, and grow a team of engineers through clear expectations, coaching, and timely feedback.
• Own hiring end-to-end, partnering with recruiting to attract and close top engineering talent.
• Build an inclusive, high-performing team culture grounded in ownership, accountability, and continuous improvement.

Delivery & Execution

• Maintain a high bar for velocity, predictability, and quality.
• Own team execution against product and engineering goals.
• Partner with Product and Design to define roadmaps, scope work, and deliver high-quality outcomes.
• Identify and remove blockers, manage risks, and ensure strong planning and prioritization.

Technical Leadership

• Guide technical direction in partnership with senior engineers and tech leads.
• Shape architecture that drives delivery speed while preserving quality, reliability, and adaptability.

Cross-Functional Collaboration

• Work closely with product, design, infrastructure, and other engineering teams to deliver cohesive customer experiences.
• Align team priorities with broader organizational goals and strategy.

Operational Excellence

• Drive improvements in system reliability, performance, and scalability.
• Establish strong practices around monitoring, incident response, and continuous improvement.

What We're Looking For

• 8+ years of experience in software engineering.
• 3+ years of experience managing and growing engineering teams.
• Proven track record of hiring and building high-performing teams.
• Experience delivering complex, cross-functional initiatives in a product-driven environment.
• Strong technical foundation in backend, distributed systems, or full-stack development.
• Proven ability to lead teams through ambiguity and change while maintaining execution.
• Actively uses AI tools in day-to-day work and helps drive adoption across teams.
• Strong communication, organizational, and stakeholder management skills.

Nice to Have

• Experience working on analytics products, user-facing SaaS platforms, or data-intensive systems.
• Experience managing teams across both frontend and backend domains.
• Familiarity with modern cloud environments and scalable architectures.
• Experience working in distributed teams across multiple time zones.

Generative AI System Design

• Architect and implement end-to-end LLM-powered applications
• Build scalable RAG pipelines (chunking, embeddings, hybrid search, reranking)
• Design and implement agent-based workflows (tool calling, multi-step reasoning, orchestration)
• Integrate LLM APIs such as OpenAI and Anthropic, along with open-source models
• Implement structured output validation, grounding strategies, and hallucination mitigation
• Optimize inference cost, latency, and token efficiency
• Design evaluation pipelines for performance, accuracy, and safety

2️⃣ Backend & Microservices Engineering

• Design scalable backend systems using Python
• Build REST and async APIs using FastAPI / Django
• Architect and implement microservices with clear service boundaries
• Implement service-to-service communication (REST, gRPC, event-driven messaging)
• Work with message brokers (Kafka / RabbitMQ)
• Optimize database performance (PostgreSQL, MongoDB)
• Implement caching strategies (Redis)
• Build observability: logging, monitoring, distributed tracing

3️⃣ Cloud-Native Architecture & DevOps

• Design and deploy containerized services using Docker
• Orchestrate services using Kubernetes
• Implement CI/CD pipelines
• Ensure system scalability, resilience, and fault tolerance
• Apply distributed systems principles:
• Circuit breakers
• API gateway patterns
• Load balancing
• Horizontal scaling
• Saga patterns
• Zero-downtime deployments

Job Details

- Job Title: Sr. Python Automation Developer

- Industry: Engineering

- Domain - Information technology (IT)

- Experience Required: 7-9 years

- Employment Type: Full Time

- Job Location: Pune

- CTC Range: Best in Industry

Job Description

• Designation – Python Automation Developer (Sr./ Advanced Sr.)

• Experience: 7 to 9 years.

• Qualifications: B.E./MCA//M.Sc./B.Sc.

• Location: Pune (Near Sangamwadi )

Skills & Technologies:

Mandatory:

• Experience using OOPs in Python/Java/C++/C# (If the candidate has experience in Java/C++/C#, he must be willing to learn Python and work in it)

• Good analytical, design, coding and debugging skills

• Good analytical and requirement of understanding skills.

• Good design patterns, frameworks & coding skills – able to translate requirements into design and able to translate design into fully functional & efficient code.

• English communication skills.

Desirable:

• Working experience on any defect management tool

• Working experience on GIT/SVN or any code repository management tool

• Development Using Eclipse IDE or equivalent IDE

Behaviors:

• Good team player

• Openness to learn new technologies.

• Self-motivated and proactive

• Should work with minimum supervision.

• Should be able to supervise juniors.

• Take ownership

Must-Haves

• 5.9 years of relevant experience using OOPs in Python/Java/C++/C#

(If the candidate has experience in Java/C++/C#, he must be willing to learn Python and work in it.)

• Good analytical, design, coding, and debugging skills

• Good analytical and requirement of understanding skills.

• Good design patterns, frameworks & coding skills – able to translate

requirements into design and able to translate design into fully functional & efficient code.

• English communication skills.

We are looking for a highly skilled Senior Full Stack Developer with experience in building secure, scalable, and high-performing web applications for eLearning or fintech platforms. The ideal candidate will have a strong background in multi-tenant dashboards, role-based access control, and API integrations, with a proactive, go-getter mindset.

Key Responsibilities:

• Develop and maintain multi-tenant dashboards with role-based access control (RBAC) and hierarchical permission models.
• Implement authentication, authorization, and session management across different user tiers, ensuring secure handling of credentials and sensitive data.
• Integrate LMS systems, third-party APIs, and fintech services while maintaining data integrity and security.
• Ensure secure hosting, multi-layered application protection, and adherence to IT standards and best practices.
• Optimize applications for performance, scalability, and reliability across platforms.
• Collaborate with cross-functional teams, including designers, content developers, and project managers, to deliver end-to-end solutions.

Required Skills & Experience:

• Proven full-stack development experience with technologies such as JavaScript, React, Node.js, Python, Java, or similar.
• Hands-on experience with multi-level user management, RBAC, and dashboard architectures.
• Strong knowledge of APIs, hosting, cloud services, and secure deployment practices.
• Familiarity with data security protocols, fintech integrations, and enterprise IT standards.
• Excellent problem-solving skills, proactive approach, and ability to work independently.

Preferred:

• Experience in eLearning platforms (SCORM, xAPI) or fintech solutions.
• Knowledge of database optimization, caching, and performance tuning.
• Experience with international eLearning projects or multi-location deployments.

About the Role

Pendo is looking for a Software Engineer to help build and scale the platform that powers our integrations with enterprise systems such as Salesforce, Slack, Segment, and other partner tools. This team develops the services, APIs, data pipelines, and user interfaces that enable customers to seamlessly connect Pendo into their product and data ecosystems.

In this role, you will primarily focus on building scalable backend systems while also contributing to the frontend experiences that allow customers to configure, manage, and monitor integrations. You’ll collaborate closely with product managers, designers, and infrastructure teams to deliver reliable, high-performance capabilities used by millions of users.

What You'll Do

• Design and build scalable backend services and APIs that power Pendo’s integrations platform.
• Develop and maintain distributed, event-driven data pipelines that process and sync high volumes of behavioral and product analytics data.
• Contribute to frontend applications that allow customers to configure, manage, and monitor integrations and data workflows.
• Lead technical initiatives from design through implementation, testing, and production rollout.
• Integrate with third-party APIs and enterprise platforms using technologies such as REST, webhooks, and OAuth.
• Collaborate with product, design, infrastructure, and partner teams to translate business needs into high-quality technical solutions.
• Use modern development workflows and AI-powered tools to improve developer productivity and streamline engineering processes.
• Participate in design reviews and promote best practices in testing, observability, performance, and system reliability.
• Contribute to improving platform scalability, availability, and operational excellence.

What We're Looking For

• Experience building backend services, APIs, or distributed systems.
• Experience developing modern web applications using frameworks such as Vue, React, or Angular.
• Strong proficiency in at least one backend language such as Go, Java, Python, or C++.
• Experience working with cloud infrastructure such as AWS or GCP.
• Familiarity with distributed systems, event-driven architectures, or high-throughput data pipelines.
• Experience writing and maintaining unit, integration, and end-to-end tests.
• Strong collaboration and communication skills.

Nice to Have

• Experience building integration platforms or working with third-party APIs.
• Familiarity with authentication models such as OAuth and enterprise SaaS integrations.
• Experience working with analytics or behavioral event data.
• Experience leveraging AI-assisted development tools or working with modern AI workflows.

Technologies We Use

• Frontend: Vue, Vuex, React, Angular, Highcharts, Jest, Cypress
• Backend: Go, Java, Python, C++
• Cloud & Data: AWS, GCP, Redis, Pub/Sub, SQL/NoSQL
• AI / ML: GenAI, LLMs, LangChain, MLOps

Job Details

- Job Title: Sr. Python Automation Developer

- Industry: Engineering

- Domain - Information technology (IT)

- Experience Required: 7-9 years

- Employment Type: Full Time

- Job Location: Pune

- CTC Range: Best in Industry

Job Description

• Designation – Python Automation Developer (Sr./ Advanced Sr.)

• Experience: 7 to 9 years.

• Qualifications: B.E./MCA//M.Sc./B.Sc.

• Location: Pune (Near Sangamwadi )

Skills & Technologies:

Mandatory:

• Experience using OOPs in Python/Java/C++/C# (If the candidate has experience in Java/C++/C#, he must be willing to learn Python and work in it)

• Good analytical, design, coding and debugging skills

• Good analytical and requirement of understanding skills.

• Good design patterns, frameworks & coding skills – able to translate requirements into design and able to translate design into fully functional & efficient code.

• English communication skills.

Desirable:

• Working experience on any defect management tool

• Working experience on GIT/SVN or any code repository management tool

• Development Using Eclipse IDE or equivalent IDE

Behaviors:

• Good team player

• Openness to learn new technologies.

• Self-motivated and proactive

• Should work with minimum supervision.

• Should be able to supervise juniors.

• Take ownership

Must-Haves

• 5.9 years of relevant experience using OOPs in Python/Java/C++/C#

(If the candidate has experience in Java/C++/C#, he must be willing to learn Python and work in it.)

• Good analytical, design, coding, and debugging skills

• Good analytical and requirement of understanding skills.

• Good design patterns, frameworks & coding skills – able to translate

requirements into design and able to translate design into fully functional & efficient code.

• English communication skills.

Who are we aka "About Us":

We are an early-stage Fintech Startup - working on exciting Fintech Products for some of the Top 5 Global Banks and building our own. If you are looking for a place where you can make a mark and not just be a cog in the wheel, Baker street Fintech Pvt Ltd (Parent Company) might be the place for you. We have a flat, ownership-oriented culture, and deliver world-class quality. You will be working with a founding team that has delivered over 26 industry-leading product experiences and won the Webby awards for Digital Strategy. In short, a bleeding edge team. 

As Cambridge Wealth, we are well-established in the wealth and mutual fund distribution segment, having won awards from BSE Star as well as Mutual Fund houses. Our UHNI/HNI/NRI clients include renowned professionals from various industries. 

What are we looking for a.k.a “The JD” :

We are seeking a skilled and detail-oriented Data Analyst to join our product team. As a Data Analyst, you will play a crucial role in extracting, analysing, and interpreting complex financial data to drive strategic decision-making and optimize our data solutions. The ideal candidate should possess a strong foundation in SQL / NoSQL databases, Python programming, and proficiency in tools like PostgreSQL and Excel. A deep understanding of financial concepts is also a plus. Additionally, having an interest in business intelligence tools and machine learning will be valuable for this role.

Responsibilities:

• Proficient in writing complex SQL Queries
• Utilize Python for data manipulation, analysis, and visualisation, using libraries such as pandas, matplotlib, psycopg etc.
• Perform database optimization, indexing, and query tuning to ensure high performance.
• Monitor and maintain data quality, troubleshoot data-related issues, and implement solutions to optimize data integrity and performance.
• Design, configure, and maintain PostgreSQL databases
• Set up and manage database clusters, replication, and backups for disaster recovery

Preferred Qualifications:

• Intermediate-level Excel skills for data analysis and reporting.
• Strong communication skills to present findings effectively and recommendations to both technical and non-technical stakeholders.
• Detail-oriented mindset with a commitment to data accuracy and quality.

*(Only Applicants who have finished their educational commitments are requested to apply)

Not sure whether you should apply? Here's a quick checklist to make things easier. You are someone who:

• Has worked (1-3 years preferably) or is looking to work specifically with an early-stage startup.
• You are ready to be a part of a Zero To One Journey which implies that you shall be involved in building fintech products and process from the ground up.
• You are comfortable to work in an unstructured environment with a small team where you decide what your day looks like and take initiative to take up the right piece of work, own it and work with the founding team on it.
• This is not an environment where someone will be checking up on you every few hours. It is up to you to schedule check-ins whenever you find the need to, else we assume you are progressing well with your tasks. You will be expected to find solutions to problems and suggest improvements.
• You want complete ownership for your role & be able to drive it the way you think is right.
• You can be a self-starter and take ownership of deliverables to develop a consensus with the team on approach and methods and deliver to them.
• Are looking to stick around for the long term and grow with the company.

We have an urgent opening for a highly skilled and passionate professional for the below role:

Quick Role Overview:

• Role: Python Automation Developer
• Location: Pune (Near Sangamwadi – Metro Connectivity)
• Working Model: Hybrid (4 Days Work from Office)
• Experience: 6 – 9 Years (Minimum 5.9+ Years in OOPs Development)
• Qualification: B.E. / MCA / M.Sc. / B.Sc.
• Notice Period: Early Joiners Preferred (15–30 Days Max)

Job Description

We are looking for a strong Python Automation Developer with solid Object-Oriented Programming expertise. This role is ideal for professionals who are strong in Java / C++ / C# and are willing to transition into Python (if not already working in Python).

You will be responsible for designing, developing, and maintaining high-quality automation solutions while translating business requirements into scalable and efficient technical implementations.

This is an excellent opportunity to work in a German-based product company offering strong work-life balance and a global work culture.

Key Responsibilities

• Design and develop automation solutions using Python (preferred) or other OOP-based languages.
• Translate functional requirements into scalable technical designs.
• Apply strong design patterns and coding best practices.
• Write clean, efficient, maintainable, and well-documented code.
• Debug, troubleshoot, and optimize performance issues.
• Work closely with cross-functional teams in a global environment.
• Supervise and mentor junior team members when required.
• Take complete ownership of assigned modules.

Desired Skills & Competencies

Must-Have Skills:

• 5.9+ years of relevant experience in OOPs (Python / Java / C++ / C#)
• Strong analytical, coding, debugging, and design skills
• Excellent understanding of design patterns and frameworks
• Ability to convert requirements → design → fully functional implementation
• Strong problem-solving mindset
• Good English communication skills
• Ability to work independently with minimum supervision

(Candidates with Java/C++/C# background must be willing to work in Python.)

Good to Have:

• Experience with defect management tools
• Experience with GIT / SVN or any code repository management tools
• Experience with Eclipse IDE or equivalent IDE
• 
  

ROLE SUMMARY

The Senior Python Developer designs, builds, and improves Python and Django applications. The role includes developing end‑to‑end integrations using REST and SOAP services and delivering reliable, scalable solutions through hands‑on coding and data transformation work. The developer works closely with Business Analysts, architects, and other teams to ensure technical solutions support business needs. Key responsibilities also include improving SQL performance, taking part in code reviews, supporting DevOps workflows with Git and Azure DevOps, and helping integrate GenAI features—such as GPT models, embeddings, and agent‑based tools—into enterprise applications.

ROLE RESPONSIBILITIES

• Design and develop Python and Django applications that are scalable, secure, and maintainable.
• Implement UI components using CSS, Bootstrap, jQuery, or similar technologies as needed.
• Develop integrations with internal and external systems using REST, SOAP, and WSDL‑based services.
• Create and optimize SQL queries, database structures, and data access logic to support application features.
• Work with Business Analysts and stakeholders to translate functional requirements into technical specifications and solutions.
• Implement accurate data mappings and transformations in accordance with business and technical requirements.
• Contribute to code reviews, follow established coding standards, and ensure high‑quality deliverables.
• Support the implementation and maintenance of DevOps pipelines using Git and Azure DevOps.
• Contribute to the integration of GenAI capabilities—including GPT models, embeddings, and agent‑based components—into enterprise applications.
• Troubleshoot issues across the application stack and collaborate closely with peers to resolve technical challenges.

TECHNICAL QUALIFICATIONS

• 7+ years of hands‑on experience with Python and Django, including complex application development.
• 5+ years of experience with SQL development, optimization, and database design.
• At least 1-2 years of applied experience with GenAI technologies (GPT models, embeddings, agents, etc.).
• Deep expertise in application architecture, system integration, and service‑oriented design.
• Strong experience with DevOps tools and practices, including Git, Azure DevOps, CI/CD pipelines, and automated deployments.
• Advanced understanding of REST, SOAP, WSDL, and large‑scale service integrations.

GENERAL QUALIFICATIONS

• Exceptional verbal and written communication skills.
• Strong analytical, problem‑solving, and architectural reasoning abilities.
• Demonstrated leadership experience with the ability to guide and mentor technical teams.
• Proven ability to work effectively in fast‑paced, collaborative environments.

EDUCATION REQUIREMENTS

• Bachelor’s degree in Computer Science, MIS, or a related field.
• Advanced certifications in Python, cloud technologies, or GenAI are preferred but not required.

Tech Lead (India) — Help Build WebLager’s Next Engineering Hub

Location: India

Team: Product & Development

Reporting to: Head of Product & Development (Denmark)

Why this role exists

WebLager is scaling fast, and 2026 will be a breakout year. We’re building an Indian IT office that’s not an outsourced extension of Denmark.

This is a real “build it right from day one” leadership role.

You’ll be our right hand in India — shaping the team, culture, and delivery. If you want to build something meaningful that’s expected to grow a lot next year, keep reading.

What you’ll do

You’re not here to babysit Jira. You’re here to ship, lead, and raise the bar.

●    Build and lead our India engineering team from early stage into real scale in 2026.

●    Set standards for quality and delivery — clean code, stable systems, smart execution.

●    Coach and grow people across levels: students, juniors, mid-levels, seniors.

●    Create a local WebLager community that feels like one company, not two offices.

●    Work tightly with Denmark on product, architecture, and delivery — as a partner, not a follower.

●    Stay hands-on: design, code, review, refactor, deploy.

●    Scale enterprise systems: performance, reliability, maintainability, observability.

●    Improve how we work: CI/CD, engineering rituals, docs that matter, fewer surprises.

●    Be the technical anchor when things are complex, messy, or moving fast.

What you bring

We don’t care about buzzwords. We care about proof you can build and lead.

Must-haves:

●    5+ years as a developer, with real production systems behind you.

●    Strong backend skills — ideally Python or another scripting language, plus Java/C# or similar, and also extensive database knowledge of both relational and

non-relational databases.

●    Frontend experience with a reactive framework like Angular, React, Vue, etc.

●    Experience scaling enterprise-grade systems and making architecture tradeoffs that hold up.

●    You’ve led people before (formally or naturally) and enjoy helping others grow.

●    Excellent problem-solving skills — you don’t freeze when things are unclear; you untangle them.

●    Near-perfect English (spoken and written). This is non-negotiable — you’ll work daily across countries and levels.

●    You take ownership by default and don’t need a map for every step.

Nice-to-haves:

●    You’ve helped build or grow a team from scratch.

●    Cloud + DevOps experience.

●    Product-minded engineering: you care about outcomes, not just tasks.

The kind of person who’ll thrive here

Let’s be direct:

●    You’re driven to create real results, not just “do your part.”

●    You want to build something from the ground up and shape the future of a company.

●    You lead with calm, clarity, and high standards.

●    You’re motivated beyond the norm — you don’t settle for “good enough.”

●    You know a Tech Lead is someone who steps up, helps others win, and keeps shipping.

●    You’re hungry to learn, and confident enough to challenge weak solutions.

The kind of person who won’t

Also direct:

●    If you expect everything to be built around you, look for another job.

●    If you want Denmark to hand you tasks, this isn’t it.

●    If you avoid responsibility or hard conversations, this will hurt.

●    If “average and comfortable” is your goal, don’t apply.

We’re building an exceptional team. Mediocre doesn’t survive here.

What you get

●    A rare chance to build an office, a culture, and a high-performing team in India from scratch.

●    Direct partnership with Danish leadership and product org.

●    Real influence over architecture, standards, and execution.

●    A company that values ownership and speed over politics.

●    Massive growth opportunity as the India office scales in 2026.

●    Competitive salary + benefits.

How to apply

Only reach out if you genuinely believe you’re the right fit and you’re motivated to build something one-of-a-kind.

Send: (This is mandatory)

●    A short page about you and what you’ve built.

●    CV/LinkedIn/GitHub/portfolio.

●    2–3 projects you’re proud of, and why.

🚀 Hiring: Data Engineer ( Azure ) at Deqode

⭐ Experience: 5+ Years

📍 Location: Pune, Bhopal, Jaipur, Gurgaon, Delhi, Banglore,

⭐ Work Mode:- Hybrid

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

⭐ Hiring: Databricks Data Engineer – Lakeflow | Streaming | DBSQL | Data Intelligence

We are looking for a Databricks Data Engineer ( Azure ) to build reliable, scalable, and governed data pipelines powering analytics, operational reporting, and the Data Intelligence Layer.

🔹 Key Responsibilities

✅ Build optimized batch pipelines using Delta Lake (partitioning, OPTIMIZE, Z-ORDER, VACUUM)

✅ Implement incremental ingestion using Databricks Autoloader with schema evolution & checkpointing

✅ Develop Structured Streaming pipelines with watermarking, late data handling & restart safety

✅ Implement declarative pipelines using Lakeflow

✅ Design idempotent, replayable pipelines with safe backfills

✅ Optimize Spark workloads (AQE, skew handling, shuffle & join tuning)

✅ Build curated datasets for Databricks SQL (DBSQL), dashboards & downstream applications

✅ Package and deploy using Databricks Repos & Asset Bundles (CI/CD)

Ensure governance using Unity Catalog and embedded data quality checks

✅ Mandatory Skills (Must Have)

👉 Databricks & Delta Lake (Advanced Optimization & Performance Tuning)

👉 Structured Streaming & Autoloader Implementation

👉 Databricks SQL (DBSQL) & Data Modeling for Analytics

We are hiring for a Python Developer at Wissen Technology!

📍 Location: Pune (Hybrid)

💼 Experience: 3–6 Years

⏱️ Notice Period: Immediate / 15 days preferred

🔧 Key Skills:

• Strong experience in Python

• Hands-on with Pandas & NumPy

• Experience with AWS (S3, Lambda preferred)

• Good understanding of data processing & APIs

• SQL knowledge

🏢 About Wissen Technology:

Wissen Technology, part of the Wissen Group (est. 2000), is a fast-growing technology company specializing in high-end consulting across Banking, Finance, Telecom, and Healthcare domains.

✔️ Global presence – US, India, UK, Australia, Mexico & Canada

✔️ Certified Great Place to Work®

✔️ Trusted by Fortune 500 clients like Morgan Stanley, Goldman Sachs, and more

✔️ Strong growth with 400% revenue increase in recent years

🌐 Website: www.wissen.com

🔗 LinkedIn: https://www.linkedin.com/company/wissen-technology/

If you’re interested or have relevant candidates, please share your resume at [your email].

#Hiring #PythonDeveloper #PuneJobs #AWS #ImmediateJoiner

While you may already know about Wissen and the company history, here is a quick rundown for you.

About Wissen Technology:

·        The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015.

·        Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products.

·        Our workforce has highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.

·        Wissen Technology has grown its revenues by 400% in these five years without any external funding or investments.

·        Globally present with offices US, India, UK, Australia, Mexico, and Canada.

·        We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.

·        Wissen Technology has been certified as a Great Place to Work®.

·        Wissen Technology has been voted as the Top 20 AI/ML vendor by CIO Insider in 2020.

·        Over the years, Wissen Group has successfully delivered $650 million worth of projects for more than 20 of the Fortune 500 companies.

·        We have served client across sectors like Banking, Telecom, Healthcare, Manufacturing, and Energy. They include likes of Morgan Stanley, Goldman Sachs, MSCI, StateStreet, Flipkart, Swiggy, Trafigura, GE to name a few.

De

Job Title: Application Development Engineer (Python – Backtesting & Index Platforms)

Role Overview

Key Responsibilities

Engine Development: Design and implement modular, reusable Python components for index construction, rebalancing, and backtesting.

Large-Scale Simulation: Use Pandas, NumPy, and PySpark to run historical calculations across long time horizons and multiple index variants.

Workflow Integration: Integrate engines with orchestrators such as Airflow or Temporal using parameterized, config-driven execution.

Reference Data Consumption: Query and utilize pricing, security master, and corporate action data from Snowflake.

Quality & Reconciliation: Build automated test harnesses to validate outputs, compare against benchmarks, and guarantee reproducibility.

Performance Optimization: Improve runtime efficiency through vectorization, caching, and distributed computing patterns.

Cross-Team Collaboration: Partner with Business, Index Ops, and Platform teams to accelerate research-to-production onboarding.

Required Technical Capabilities

Python Expertise: Strong proficiency in Python application development with emphasis on clean architecture and maintainable design.

Data & Numerical Libraries: Deep experience with Pandas and NumPy; working knowledge of PySpark for distributed workloads.

Financial Computation: Ability to implement portfolio mathematics, weighting algorithms, and time-series transformations.

Config-Driven Systems: Experience building rule-based or metadata-driven processing frameworks.

Database Skills: Strong SQL and experience consuming structured data from Snowflake.

Testing Discipline: Expertise in unit testing, regression testing, and deterministic replay of calculations.

Orchestration Integration: Familiarity with Airflow, Temporal, or similar workflow engines.

Cloud Infrastructure: Solid understanding of AWS ecosystem services (S3, Lambda, IAM) and how they integrate with the Snowflake Data Cloud.

Department

Product & Technology

Location

On-site | Prabhat Road, Pune

Experience

3-5 Years in a Data Engineering or Analytics Role

Domain

Fintech / Wealth Management — non-negotiable

Compensation

11-12 LPA Fixed + Performance Bonus

Growth

Title upgrade + salary revision at 12–18 months for strong performers

Why this role is different from most Data Engineer postings

You will work directly with the founding team on a live wealth management platform used by HNI and NRI clients. You will not spend years in a queue waiting to matter your work ships to production, your analysis influences product decisions, and you will guide junior teammates from day one. If you perform, a raise and title upgrade are on the table within 1218 months. This is the kind of early-team role that defines careers.

About Cambridge Wealth

Cambridge Wealth is a fast-growing, award-winning Financial Services and Fintech firm obsessed with quality and exceptional client service. We serve a high-profile clientele NRI, Mass Affluent, HNI, and ultra-HNI professionals and have received multiple awards from major Mutual Fund houses and BSE. We are past the zero-to-one stage and now focused on scaling our features and intelligence layer. You will be joining at exactly the right time.

What You Will Be Doing

This is a central, hands-on data engineering role at the intersection of financial analytics and applied ML. You will own the data pipelines and analytical models that power investment insights for wealth management clients transforming transaction data and portfolio information into measurable, actionable intelligence.

We are not looking for someone who just keeps the lights on. We want someone who looks at a working system and immediately sees how to make it 10x faster, cleaner, and smarter using AI and automation wherever possible.

Key Responsibilities:

Data Engineering & Pipelines

• Build and optimize PostgreSQL-based pipelines to process large volumes of investment transaction data.
• Design and maintain database schemas, foreign tables, and analytical structures for performance at scale.
• Write advanced SQL — window functions, stored procedures, query optimization, index design.
• Build Python automation scripts for data ingestion, transformation, and scheduled pipeline runs.
• Monitor AWS RDS workloads and troubleshoot performance issues proactively.

Financial Analytics & Modelling

• Develop analytical frameworks to evaluate client portfolios against benchmarks and category averages.
• Build data models covering mutual fund schemes, SIPs, redemptions, switches, and transfer lifecycles.
• Create materialized views and derived tables optimized for dashboards and internal reporting tools.
• Analyse client transaction history to surface patterns in investment behaviour and financial discipline.

Applied ML & AI-Driven Development

• Use Python (Pandas, NumPy, Scikit-learn) for trend analysis, forecasting, and predictive modelling.
• Implement classification or regression models to support financial pattern detection.
• Use AI tools — LLMs, Copilots — to accelerate ETL development, code quality, and data cleaning.
• Identify opportunities to automate repetitive data tasks and advocate for smarter tooling.

Data Quality & Governance

• Own data integrity end-to-end in a live, high-stakes financial environment.
• Build and maintain validation and cleaning protocols across all financial datasets.
• Maintain Excel models, Power Query workflows, and structured reporting outputs.

Collaboration & Junior Mentorship

• Work directly with Product, Investment Research, and Wealth Advisory teams.
• Translate open-ended business questions into structured queries and measurable outputs.
• Guide 1–2 junior trainees — review their work, set code quality standards, and help them grow.
• Present findings clearly to non-technical stakeholders — no jargon, just clarity.

Skills — What We Need vs. What Helps

Skill / Tool

Requirement

Must-Haves:

SQL & PostgreSQL (window functions, stored procedures, optimization)

Python — Pandas, NumPy for data processing and automation

ML fundamentals — classification or regression (Scikit-learn)

AWS RDS or equivalent cloud database experience

Financial domain knowledge — mutual funds, SIPs, portfolio concepts

Python data visualization — Matplotlib, Seaborn, or Plotly

Strong Advantage

Excel — Power Query, advanced modelling

Materialized views, query planning, index optimization

Experience with BI/dashboard tools

Good to Have

NoSQL databases

Prior fintech or wealth management startup experience

Financial Domain — Non-Negotiable

This is a wealth management platform. You must come in with a working understanding of:

• Mutual fund structures, scheme types, and NAV-based transactions
• Investment lifecycle — SIPs, Lump Sum, Redemptions, Switches, and STPs
• Portfolio allocation and benchmarking against indices (e.g. Nifty 50, category averages)
• How HNI/NRI clients interact with financial products differently from retail investors

You do not need to be a CFA. But if mutual funds and portfolio analytics are completely new territory, this role is not the right fit right now.

The Culture Fit — Read This Carefully

We are a small, fast-moving team. This is not a place where you wait for a ticket to arrive in your queue. The right person for this role:

• Has worked at a small startup before and is used to wearing multiple hats
• Finds broken or slow data systems genuinely irritating and fixes them without being asked
• Reaches for Python or an LLM when there is a repetitive task — automating is instinctive
• Is comfortable saying 'I don't know but I'll find out' and follows through independently
• Wants visibility and ownership, not just a well-defined job description
• Is looking for a role where strong performance is directly visible and rewarded

Growth Path — What Happens If You Perform

This is not a vague 'growth opportunity' pitch.

If you hit the bar in your first 12–18 months, you will receive a salary revision and a title upgrade to Senior Data Engineer or Lead Data Engineer depending on team expansion. As we scale our Data and AI team, this role is the natural stepping stone to a team lead position. You will also gain direct exposure to founding-team decision-making — the kind of access that is hard to get at larger companies.

Preferred Background

• 2–4 years in a data engineering or analytics role at a startup or small Fintech
• Experience in a live product environment where data errors have real consequences
• Exposure to portfolio analytics, investment research, or wealth management platforms
• Has mentored or reviewed code for at least one junior team member

Hiring Process

We respect your time. The process is direct and moves fast.

• Screening Questions — 5 minutes online
• Online Challenge — MCQ(Data, SQL, AWS, etc), and one applied ML or analytics problem, Communication Skills and Personality (focused, not trick questions)
• People Round — 30-minute video call, culture and communication
• Technical Deep-Dive — 1 hour in person, live financial data problems and your past work
• Founder's Interview — 1 hour in person, growth conversation and mutual fit
• Offer & Background Verification

Blue Owls Solutions is looking for a mid-level Azure Data Engineer with approximately 4 years of hands-on experience to join our growing data team. In this role, you will design, build, and maintain scalable data pipelines and architectures that power business-critical analytics and reporting. You'll work closely with cross-functional teams to transform raw data into reliable, high-quality datasets that drive decision-making across the organization.

Required Skills

• 4+ years of professional experience as a Data Engineer or in a similar data-focused role
• Strong proficiency in SQL for data manipulation, querying, and performance optimization
• Hands-on experience with PySpark for large-scale data processing and transformation
• Solid working knowledge of the Microsoft Azure ecosystem (Azure Data Factory, Azure Data Lake, Azure Synapse, etc.)
• Experience with Microsoft Fabric for end-to-end data analytics workflows
• Ability to design and implement robust data architectures including data warehouses, lakehouses, and ETL/ELT frameworks
• Strong coding and scripting skills with Python
• Proven problem-solving ability with a knack for debugging complex data issues and optimizing pipeline performance
• Understanding of data modeling concepts, dimensional modeling, and data governance best practices

Interview Process

• Take-Home Assessment
• 60-Minute Technical Interview
• Culture Fit Round

Preferred Skills & Certifications

• Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
• Microsoft Certified: Fabric Data Engineer Associate (DP-700)
• Experience with CI/CD practices for data pipelines
• Familiarity with version control systems such as Git
• Exposure to real-time streaming data solutions
• Experience working in Agile or Scrum environments
• Strong communication skills with the ability to translate technical concepts for non-technical stakeholders

What We Offer

• Competitive salary and performance-based bonuses
• Flexible hybrid options
• Opportunities for professional development, training, and certification sponsorship
• A collaborative, innovation-driven team culture
• Paid time off and company holidays