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About the role:

We are looking for a Senior Site Reliability Engineer who understands the nuances of production systems. If you care about building and running reliable software systems in production, you'll like working at One2N.

You will primarily work with our startups and mid-size clients. We work on One-to-N kind problems (hence the name One2N), those where Proof of concept is done and the work revolves around scalability, maintainability, and reliability. In this role, you will be responsible for architecting and optimizing our observability and infrastructure to provide actionable insights into performance and reliability.

Responsibilities:

• Conceptualise, think, and build platform engineering solutions with a self-serve model to enable product engineering teams.
• Provide technical guidance and mentorship to young engineers.
• Participate in code reviews and contribute to best practices for development and operations.
• Design and implement comprehensive monitoring, logging, and alerting solutions to collect, analyze, and visualize data (metrics, logs, traces) from diverse sources.
• Develop custom monitoring metrics, dashboards, and reports to track key performance indicators (KPIs), detect anomalies, and troubleshoot issues proactively.
• Improve Developer Experience (DX) to help engineers improve their productivity.
• Design and implement CI/CD solutions to optimize velocity and shorten the delivery time.
• Help SRE teams set up on-call rosters and coach them for effective on-call management.
• Automating repetitive manual tasks from CI/CD pipelines, operations tasks, and infrastructure as code (IaC) practices.
• Stay up-to-date with emerging technologies and industry trends in cloud-native, observability, and platform engineering space.

Requirements:

• 6-9 years of professional experience in DevOps practices or software engineering roles, with a focus on Kubernetes on an AWS platform.
• Expertise in observability and telemetry tools and practices, including hands-on experience with some of Datadog, Honeycomb, ELK, Grafana, and Prometheus.
• Working knowledge of programming using Golang, Python, Java, or equivalent.
• Skilled in diagnosing and resolving Linux operating system issues.
• Strong proficiency in scripting and automation to build monitoring and analytics solutions.
• Solid understanding of microservices architecture, containerization (Docker, Kubernetes), and cloud-native technologies.
• Experience with infrastructure as code (IaC) tools such as Terraform, Pulumi.
• Excellent analytical and problem-solving skills, keen attention to detail, and a passion for continuous improvement.
• Strong written, communication, and collaboration skills, with the ability to work effectively in a fast-paced, agile environment.

Review Criteria

• Strong Senior Data Engineer profile
• 4+ years of hands-on Data Engineering experience
• Must have experience owning end-to-end data architecture and complex pipelines
• Must have advanced SQL capability (complex queries, large datasets, optimization)
• Must have strong Databricks hands-on experience
• Must be able to architect solutions, troubleshoot complex data issues, and work independently
• Must have Power BI integration experience
• CTC has 80% fixed and 20% variable in their ctc structure

Preferred

• Worked on Call center data, understand nuances of data generated in call centers
• Experience implementing data governance, quality checks, or lineage frameworks
• Experience with orchestration tools (Airflow, ADF, Glue Workflows), Python, Delta Lake, Lakehouse architecture

Job Specific Criteria

• CV Attachment is mandatory
• Are you Comfortable integrating with Power BI datasets?
• We have an alternate Saturdays working. Are you comfortable to WFH on 1st and 4th Saturday?

Role & Responsibilities

We are seeking a highly experienced Senior Data Engineer with strong architectural capability, excellent optimisation skills, and deep hands-on experience in modern data platforms. The ideal candidate will have advanced SQL skills, strong expertise in Databricks, and practical experience working across cloud environments such as AWS and Azure. This role requires end-to-end ownership of complex data engineering initiatives, including architecture design, data governance implementation, and performance optimisation. You will collaborate with cross-functional teams to build scalable, secure, and high-quality data solutions.

Key Responsibilities-

• Lead the design and implementation of scalable data architectures, pipelines, and integration frameworks.
• Develop, optimise, and maintain complex SQL queries, transformations, and Databricks-based data workflows.
• Architect and deliver high-performance ETL/ELT processes across cloud platforms.
• Implement and enforce data governance standards, including data quality, lineage, and access control.
• Partner with analytics, BI (Power BI), and business teams to enable reliable, governed, and high-value data delivery.
• Optimise large-scale data processing, ensuring efficiency, reliability, and cost-effectiveness.
• Monitor, troubleshoot, and continuously improve data pipelines and platform performance.
• Mentor junior engineers and contribute to engineering best practices, standards, and documentation.

Ideal Candidate

• Proven industry experience as a Senior Data Engineer, with ownership of high-complexity projects.
• Advanced SQL skills with experience handling large, complex datasets.
• Strong expertise with Databricks for data engineering workloads.
• Hands-on experience with major cloud platforms — AWS and Azure.
• Deep understanding of data architecture, data modelling, and optimisation techniques.
• Familiarity with BI and reporting environments such as Power BI.
• Strong analytical and problem-solving abilities with a focus on data quality and governance
• Proficiency in python or another programming language in a plus.

ROLES AND RESPONSIBILITIES:

We are seeking a highly experienced Senior Data Engineer with strong architectural capability, excellent optimisation skills, and deep hands-on experience in modern data platforms. The ideal candidate will have advanced SQL skills, strong expertise in Databricks, and practical experience working across cloud environments such as AWS and Azure. This role requires end-to-end ownership of complex data engineering initiatives, including architecture design, data governance implementation, and performance optimisation. You will collaborate with cross-functional teams to build scalable, secure, and high-quality data solutions.

Key Responsibilities-

• Lead the design and implementation of scalable data architectures, pipelines, and integration frameworks.
• Develop, optimise, and maintain complex SQL queries, transformations, and Databricks-based data workflows.
• Architect and deliver high-performance ETL/ELT processes across cloud platforms.
• Implement and enforce data governance standards, including data quality, lineage, and access control.
• Partner with analytics, BI (Power BI), and business teams to enable reliable, governed, and high-value data delivery.
• Optimise large-scale data processing, ensuring efficiency, reliability, and cost-effectiveness.
• Monitor, troubleshoot, and continuously improve data pipelines and platform performance.
• Mentor junior engineers and contribute to engineering best practices, standards, and documentation.

IDEAL CANDIDATE:

• Proven industry experience as a Senior Data Engineer, with ownership of high-complexity projects.
• Advanced SQL skills with experience handling large, complex datasets.
• Strong expertise with Databricks for data engineering workloads.
• Hands-on experience with major cloud platforms — AWS and Azure.
• Deep understanding of data architecture, data modelling, and optimisation techniques.
• Familiarity with BI and reporting environments such as Power BI.
• Strong analytical and problem-solving abilities with a focus on data quality and governance
• Proficiency in python or another programming language in a plus.

PERKS, BENEFITS AND WORK CULTURE:

Our people define our passion and our audacious, incredibly rewarding achievements. The company is one of India’s most diversified Non-banking financial companies, and among Asia’s top 10 Large workplaces. If you have the drive to get ahead, we can help find you an opportunity at any of the 500+ locations we’re present in India.

As a Lead Artificial Intelligence Engineer at Leapfrog Technology, you will be at the forefront of shaping the future of data-driven solutions. You'll lead a talented team, drive the development of innovative AI projects, and work collaboratively across functions to turn complex business challenges into actionable insights.

Key Responsibilities:

● Leadership Excellence: Lead and inspire a team of AI Engineers and Data Scientists, fostering a culture of innovation, collaboration, and continuous growth.

● End-to-End Ownership: Take full ownership of the AI project lifecycle, from ideation and design to development, deployment, and maintenance.

● Technological Innovation: Explore and assess emerging technologies to enhance the performance, maintainability, and reliability of AI systems.

● Engineering Best Practices: Apply robust software engineering practices to AI, including CI/CD pipelines, automation, and quality assurance.

● Architectural Leadership: Collaborate with technology experts to make informed architectural decisions, and ensure thorough technical documentation.

● Risk Mitigation: Proactively identify and address project risks, conduct root cause analysis, and implement preventive measures.

● Cross-functional Collaboration: Engage closely with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers, to deliver impactful data-driven solutions.

● Continuous Learning: Stay at the cutting edge of data science, ML, and AI developments, and leverage emerging technologies to solve complex business problems.

● Mentorship and Growth: Coach and motivate team members, identify training needs, and foster their professional development.

● Organizational Excellence: Actively uphold and promote the company's culture, processes, and standards to ensure consistent excellence in our work.

Job requirements

Education and Experience:

• A degree (Masters preferred) in Computer Science, Engineering, Artificial Intelligence, Data Science, Applied Mathematics, or related fields.
• Minimum 6+ years of hands-on experience in AI/ML or Data Science, preferably in real industry settings, with a track record of building data products that have positively impacted customer satisfaction and revenue growth.

Technical Skills:

• Proficiency in a wide range of Machine Learning techniques and algorithms, with the ability to apply advanced analytics methods, including Bayesian statistics, clustering, text analysis, time series analysis, and neural networks on large-scale datasets.
• Expertise in at least one specialized area of application, such as Computer Vision or Natural Language Processing (NLP). (NLP Expertise preferred)
•  Strong programming skills in Python, including expertise in the data ecosystem (Numpy, Scipy, Pandas, etc.) or equivalent skills in languages like R, Java, Scala, or Julia, with a focus on producing production-quality code.
• Hands-on experience with popular ML frameworks like Scikit-Learn, PyTorch, or TensorFlow.
• Expertise with Generative AI and Large Language Models (LLMs) along with their implementation in real-life applications.
• Experience building end-to-end ML systems (MLOps).
• Experience in deploying code in web frameworks such as Flask, FastAPI or Django.
• Experience working in a cloud environment like AWS, Azure, or GCP for ML work.
• Good grasp of SQL/NoSQL databases and scripting skills, particularly within analytics platforms and data warehouses.
• Good grasp of software engineering concepts (SDLC, Version Control, CI/CD, Containerization, Scalability and so on), programming concepts, and tools/platforms like Git and Docker.
• Bonus: Experience with Big Data technologies such as Apache Spark, Kafka, Kinesis, and cloud-based ML platforms like AWS SageMaker or GCP ML Engine.
• Bonus: Experience with data visualization and dashboard tools like Tableau or Power BI.

    Soft Skills:

• Highly motivated, self-driven, entrepreneurial mindset, and capable of solving complex analytical problems under high-pressure situations.
• Ability to work with cross-functional and cross-regional teams.
• Ability to lead a team of Data/AI professionals and work with senior management, technological experts, and the product team.
• Excellent written and verbal communication skills, comfortable with client communication.
• Good leadership skills - ability to motivate and mentor team members, ability to plan and make sound decisions, ability to negotiate tactfully with the client and team.
• Results-oriented, customer-focused with a passion for resolving tough technical and operational challenges.
• Possess excellent analytical and problem-solving abilities.
• Good documentation skills.
• Experienced with Agile methodologies like Scrum/Kanban

About Vijay Sales

Vijay Sales is one of India’s leading electronics retail brands with 160+ stores nationwide and a fast-growing digital presence. We are on a mission to build the most advanced data-driven retail intelligence ecosystem—using AI, predictive analytics, LLMs, and real-time automation to transform customer experience, supply chain, and omnichannel operations.

Role Overview

We are looking for a highly capable AI Engineer who is passionate about building production-grade AI systems, designing scalable ML architecture, and working with cutting-edge AI/ML tools. This role involves hands-on work with Databricks, SQL, PySpark, modern LLM/GenAI frameworks, and full lifecycle ML system design.

Key Responsibilities

Machine Learning & AI Development

• Build, train, and optimize ML models for forecasting, recommendation, personalization, churn prediction, inventory optimization, anomaly detection, and pricing intelligence.
• Develop GenAI solutions using modern LLM frameworks (e.g., LangChain, LlamaIndex, HuggingFace Transformers).
• Explore and implement RAG (Retrieval Augmented Generation) pipelines for product search, customer assistance, and support automation.
• Fine-tune LLMs on company-specific product and sales datasets (using QLoRA, PEFT, and Transformers).
• Develop scalable feature engineering pipelines leveraging Delta Lake and Databricks Feature Store.

Databricks / Data Engineering

• Build end-to-end ML workflows on Databricks using PySpark, MLflow, Unity Catalog, Delta Live Tables.
• Optimize Databricks clusters for cost, speed, and stability.
• Maintain reusable notebooks and parameterized pipelines for model ingestion, validation, and deployment.
• Use MLflow for tracking experiments, model registry, and lifecycle management.

Data Handling & SQL

• Write advanced SQL for multi-source data exploration, aggregation, and anomaly detection.
• Work on large, complex datasets from ERP, POS, CRM, Website, and Supply Chain systems.
• Automate ingestion of streaming and batch data into Databricks pipelines.

Deployment & MLOps

• Deploy ML models using REST APIs, Databricks Model Serving, Docker, or cloud-native endpoints.
• Build CI/CD pipelines for ML using GitHub Actions, Azure DevOps, or Databricks Workflows.
• Implement model monitoring for drift, accuracy decay, and real-time alerts.
• Maintain GPU/CPU environments for training workflows.
• 
  

Must-Have Technical Skills

Core AI/ML

• Strong fundamentals in machine learning: regression, classification, time-series forecasting, clustering.
• Experience in deep learning using PyTorch or TensorFlow/Keras.
• Expertise in LLMs, embeddings, vector databases, and GenAI architecture.
• Hands-on experience with HuggingFace, embedding models, and RAG.

Databricks & Big Data

• Hands-on experience with Databricks (PySpark, SQL, Delta Lake, MLflow, Feature Store).
• Strong understanding of Spark execution, partitioning, and optimization.

Programming

• Strong proficiency in Python.
• Experience writing high-performance SQL with window functions, CTEs, and analytical queries.
• Knowledge of Git, CI/CD, REST APIs, and Docker.

MLOps & Production Engineering

• Experience deploying models to production and monitoring them.
• Familiarity with tools like MLflow, Weights & Biases, or SageMaker equivalents.
• Experience in building automated training pipelines and handling model drift/feedback loops.

Preferred Domain Experience

• Retail/e-commerce analytics
• Demand forecasting
• Inventory optimization
• Customer segmentation & personalization
• Price elasticity and competitive pricing

We are seeking a highly skilled Senior Data Engineer with expertise in Databricks, Python, Scala, Azure Synapse, and Azure Data Factory to join our data engineering team. The team is responsible for ingesting data from multiple sources, making it accessible to internal stakeholders, and enabling seamless data exchange across internal and external systems.

You will play a key role in enhancing and scaling our Enterprise Data Platform (EDP) hosted on Azure and built using modern technologies such as Databricks, Synapse, Azure Data Factory (ADF), ADLS Gen2, Azure DevOps, and CI/CD pipelines.

Responsibilities

• Design, develop, optimize, and maintain scalable data architectures and pipelines aligned with ETL principles and business goals.
• Collaborate across teams to build simple, functional, and scalable data solutions.
• Troubleshoot and resolve complex data issues to support business insights and organizational objectives.
• Build and maintain data products to support company-wide usage.
• Advise, mentor, and coach data and analytics professionals on standards and best practices.
• Promote reusability, scalability, operational efficiency, and knowledge-sharing within the team.
• Develop comprehensive documentation for data engineering standards, processes, and capabilities.
• Participate in design and code reviews.
• Partner with business analysts and solution architects on enterprise-level technical architectures.
• Write high-quality, efficient, and maintainable code.

Technical Qualifications

• 5–8 years of progressive data engineering experience.
• Strong expertise in Databricks, Python, Scala, and Microsoft Azure services including Synapse & Azure Data Factory (ADF).
• Hands-on experience with data pipelines across multiple source & target systems (Databricks, Synapse, SQL Server, Data Lake, SQL/NoSQL sources, and file-based systems).
• Experience with design patterns, code refactoring, CI/CD, and building scalable data applications.
• Experience developing batch ETL pipelines; real-time streaming experience is a plus.
• Solid understanding of data warehousing, ETL, dimensional modeling, data governance, and handling both structured and unstructured data.
• Deep understanding of Synapse and SQL Server, including T-SQL and stored procedures.
• Proven experience working effectively with cross-functional teams in dynamic environments.
• Experience extracting, processing, and analyzing large / complex datasets.
• Strong background in root cause analysis for data and process issues.
• Advanced SQL proficiency and working knowledge of a variety of database technologies.
• Knowledge of Boomi is an added advantage.

Core Skills & Competencies

• Excellent analytical and problem-solving abilities.
• Strong communication and cross-team collaboration skills.
• Self-driven with the ability to make decisions independently.
• Innovative mindset and passion for building quality data solutions.
• Ability to understand operational systems, identify gaps, and propose improvements.
• Experience with large-scale data ingestion and engineering.
• Knowledge of CI/CD pipelines (preferred).
• Understanding of Python and parallel processing frameworks (MapReduce, Spark, Scala).
• Familiarity with Agile development methodologies.

Education

• Bachelor’s degree in Computer Science, Information Technology, MIS, or an equivalent field.

As a Data Engineer, you will be an integral part of our team, working on data pipelines, data warehousing, and data integration for various analytics and AI use cases. You will collaborate closely with Delivery Managers, ML Engineers and other stakeholders to ensure seamless data flow and accessibility. Your expertise will be crucial in enabling data-driven decision-making for our clients. To thrive in this role, you need to be a quick learner, get excited about innovation and be on the constant lookout to master new technologies as they come up in the Data, AI & Cloud teams.   

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes to support downstream analytics and AI applications.
• Collaborate with ML Engineers to integrate data solutions into machine learning models and workflows.
• Work closely with clients to understand their data requirements and deliver tailored data solutions.
• Ensure data quality, integrity, and security across all projects.
• Optimize and manage data storage solutions in cloud environments (AWS, Azure, GCP).
• Utilize Databricks for data processing and analytics tasks, leveraging its capabilities to enhance data workflows.
• Monitor the performance of data pipelines, identify bottlenecks or failures, and implement improvements to enhance efficiency and reliability.
• Implement best practices for data engineering, including documentation, testing, and version control.
• Troubleshoot and resolve data-related issues in a timely manner.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• 3 to 5 years of experience as a Data Engineer or in a similar role.
• Strong proficiency in SQL, Python, and other relevant programming languages.
• Hands-on experience with Databricks and its ecosystem.
• Familiarity with major cloud environments (AWS, Azure, GCP) and their data services.
• Experience with data warehousing solutions like Snowflake, Redshift, or BigQuery.
• Comfortable working with a variety of SQL, NoSQL and graph databases like PostgreSQL and MongoDB;
• Knowledge of data integration tools.
• Understanding of data modelling, data architecture, and database design.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Highly Desirable Skills

• Experience with real-time data processing frameworks (e.g., Apache Kafka, Spark Streaming).
• Knowledge of data visualisation tools (e.g., Tableau, Power BI).
• Familiarity with machine learning concepts and frameworks.
• Experience working in a client-facing role.

Job Description:

We are looking for a skilled Backend Developer with 2–5 years of experience in software development, specializing in Python and/or Golang. If you have strong programming skills, enjoy solving problems, and want to work on secure and scalable systems, we'd love to hear from you!

Location - Pune, Baner.

Interview Rounds - In Office

Key Responsibilities:

Design, build, and maintain efficient, reusable, and reliable backend services using Python and/or Golang

Develop and maintain clean and scalable code following best practices

Apply Object-Oriented Programming (OOP) concepts in real-world development

Collaborate with front-end developers, QA, and other team members to deliver high-quality features

Debug, optimize, and improve existing systems and codebase

Participate in code reviews and team discussions

Work in an Agile/Scrum development environment

Required Skills: Strong experience in Python or Golang (working knowledge of both is a plus)

Good understanding of OOP principles

Familiarity with RESTful APIs and back-end frameworks

Experience with databases (SQL or NoSQL)

Excellent problem-solving and debugging skills

Strong communication and teamwork abilities

Good to Have:

Prior experience in the security industry

Familiarity with cloud platforms like AWS, Azure, or GCP

Knowledge of Docker, Kubernetes, or CI/CD tools

The ideal candidate will play a key role in designing, implementing, and maintaining cloud infrastructure and CI/CD pipelines to support scalable, secure, and high-performance data and analytics solutions. This role requires strong expertise in Azure, Databricks, and cloud-native DevOps practices.

Key Responsibilities:

1. Cloud Infrastructure Design & Management

• Architect, deploy, and manage scalable and secure cloud infrastructure on Microsoft Azure.
• Implement best practices across resource groups, virtual networks, storage accounts, etc.
• Ensure cost optimization, high availability, and disaster recovery for business-critical systems.

2. Databricks Platform Management

• Set up, configure, and maintain Databricks workspaces for data engineering, ML, and analytics workloads.
• Automate cluster management, job scheduling, and performance monitoring.
• Integrate Databricks seamlessly with Azure data and analytics services.

3. CI/CD Pipeline Development

• Design and implement CI/CD pipelines for infrastructure, applications, and data workflows.
• Work with Azure DevOps / GitHub Actions (or similar) for automated testing and deployments.
• Drive continuous delivery, versioning, and monitoring best practices.

4. Monitoring & Incident Management

• Implement monitoring and alerting with Dynatrace, Azure Monitor, Log Analytics, and Databricks metrics.
• Diagnose and resolve issues to ensure minimal downtime and smooth operations.

5. Security & Compliance

• Enforce IAM, encryption, network security, and secure development practices.
• Ensure compliance with organizational and regulatory cloud standards.

6. Collaboration & Documentation

• Work closely with data engineers, software developers, architects, and business teams to align infrastructure with business goals.
• Maintain thorough documentation for infrastructure, processes, and configurations.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.

Must-Have Experience

• 6+ years in DevOps / Cloud Engineering roles.
• Proven expertise in:
• Microsoft Azure (Azure Data Lake, Databricks, ADF, Azure Functions, AKS, Azure AD)
• Databricks for data engineering / analytics workloads.
• Strong experience applying DevOps practices to cloud-based data and analytics platforms.

Technical Skills

• Infrastructure as Code (Terraform, ARM, Bicep).
• Scripting (Python / Bash).
• Containerization & orchestration (Docker, Kubernetes).
• CI/CD & version control (Git, Azure DevOps, GitHub Actions).

Soft Skills

• Strong analytical and problem-solving mindset.
• Excellent communication and collaboration abilities.
• Ability to operate in cross-functional and fast-paced environments.

Job Description: Python Engineer

Role Summary

We are looking for a talented Python Engineer to design, develop, and maintain high-quality backend applications and automation solutions. The ideal candidate should have strong programming skills, familiarity with modern development practices, and the ability to work in a fast-paced, collaborative environment.

Key Responsibilities:

Python Development & Automation

• Design, develop, and maintain Python scripts, tools, and automation frameworks.
• Build automation for operational tasks such as deployment, monitoring, system checks, and maintenance.
• Write clean, modular, and well-documented Python code following best practices.
• Develop APIs, CLI tools, or microservices when required.

Linux Systems Engineering

• Manage, configure, and troubleshoot Linux environments (RHEL, CentOS, Ubuntu).
• Perform system performance tuning, log analysis, and root-cause diagnostics.
• Work with system services, processes, networking, file systems, and security controls.
• Implement shell scripting (bash) alongside Python for system-level automation.

CI/CD & Infrastructure Support

• Support integration of Python automation into CI/CD pipelines (Jenkins).
• Participate in build and release processes for infrastructure components.
• Ensure automation aligns with established infrastructure standards and governance.
• Use Bash scripting together with Python to improve automation efficiency.

Cloud & DevOps Collaboration (if applicable)

• Collaborate with Cloud/DevOps engineers on automation for AWS or other cloud platforms.
• Integrate Python tools with configuration management tools such as Chef or Ansible, or with Terraform modules.
• Contribute to containerization efforts (Docker, Kubernetes) leveraging Python automation.

Job Summary:

Deqode is looking for a highly motivated and experienced Python + AWS Developer to join our growing technology team. This role demands hands-on experience in backend development, cloud infrastructure (AWS), containerization, automation, and client communication. The ideal candidate should be a self-starter with a strong technical foundation and a passion for delivering high-quality, scalable solutions in a client-facing environment.

Key Responsibilities:

• Design, develop, and deploy backend services and APIs using Python.
• Build and maintain scalable infrastructure on AWS (EC2, S3, Lambda, RDS, etc.).
• Automate deployments and infrastructure with Terraform and Jenkins/GitHub Actions.
• Implement containerized environments using Docker and manage orchestration via Kubernetes.
• Write automation and scripting solutions in Bash/Shell to streamline operations.
• Work with relational databases like MySQL and SQL, including query optimization.
• Collaborate directly with clients to understand requirements and provide technical solutions.
• Ensure system reliability, performance, and scalability across environments.

Required Skills:

• 3.5+ years of hands-on experience in Python development.
• Strong expertise in AWS services such as EC2, Lambda, S3, RDS, IAM, CloudWatch.
• Good understanding of Terraform or other Infrastructure as Code tools.
• Proficient with Docker and container orchestration using Kubernetes.
• Experience with CI/CD tools like Jenkins or GitHub Actions.
• Strong command of SQL/MySQL and scripting with Bash/Shell.
• Experience working with external clients or in client-facing roles

.

Preferred Qualifications:

• AWS Certification (e.g., AWS Certified Developer or DevOps Engineer).
• Familiarity with Agile/Scrum methodologies.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.

Job Description:

We are looking for a skilled Backend Developer with 2–5 years of experience in software development, specializing in Python and/or Golang. If you have strong programming skills, enjoy solving problems, and want to work on secure and scalable systems, we'd love to hear from you!

Location - Pune, Baner.

Interview Rounds - In Office

Key Responsibilities:

Design, build, and maintain efficient, reusable, and reliable backend services using Python and/or Golang

Develop and maintain clean and scalable code following best practices

Apply Object-Oriented Programming (OOP) concepts in real-world development

Collaborate with front-end developers, QA, and other team members to deliver high-quality features

Debug, optimize, and improve existing systems and codebase

Participate in code reviews and team discussions

Work in an Agile/Scrum development environment

Required Skills: Strong experience in Python or Golang (working knowledge of both is a plus)

Good understanding of OOP principles

Familiarity with RESTful APIs and back-end frameworks

Experience with databases (SQL or NoSQL)

Excellent problem-solving and debugging skills

Strong communication and teamwork abilities

Good to Have:

Prior experience in the security industry

Familiarity with cloud platforms like AWS, Azure, or GCP

Knowledge of Docker, Kubernetes, or CI/CD tools

We're seeking an AI/ML Engineer to join our team-

As an AI/ML Engineer, you will be responsible for designing, developing, and implementing artificial intelligence (AI) and machine learning (ML) solutions to solve real world business problems. You will work closely with cross-functional teams, including data scientists, software engineers, and product managers, to deploy and integrate Applied AI/ML solutions into the products that are being built at NonStop. Your role will involve researching cutting-edge algorithms, data processing techniques, and implementing scalable solutions to drive innovation and improve the overall user experience.

Responsibilities

• Applied AI/ML engineering; Building engineering solutions on top of the AI/ML tooling available in the industry today. Eg: Engineering APIs around OpenAI
• AI/ML Model Development: Design, develop, and implement machine learning models and algorithms that address specific business challenges, such as natural language processing, computer vision, recommendation systems, anomaly detection, etc.
• Data Preprocessing and Feature Engineering: Cleanse, preprocess, and transform raw data into suitable formats for training and testing AI/ML models. Perform feature engineering to extract relevant features from the data
• Model Training and Evaluation: Train and validate AI/ML models using diverse datasets to achieve optimal performance. Employ appropriate evaluation metrics to assess model accuracy, precision, recall, and other relevant metrics
• Data Visualization: Create clear and insightful data visualizations to aid in understanding data patterns, model behavior, and performance metrics
• Deployment and Integration: Collaborate with software engineers and DevOps teams to deploy AI/ML models into production environments and integrate them into various applications and systems
• Data Security and Privacy: Ensure compliance with data privacy regulations and implement security measures to protect sensitive information used in AI/ML processes
• Continuous Learning: Stay updated with the latest advancements in AI/ML research, tools, and technologies, and apply them to improve existing models and develop novel solutions
• Documentation: Maintain detailed documentation of the AI/ML development process, including code, models, algorithms, and methodologies for easy understanding and future reference

Requirements

• Bachelor's, Master's or PhD in Computer Science, Data Science, Machine Learning, or a related field. Advanced degrees or certifications in AI/ML are a plus
• Proven experience as an AI/ML Engineer, Data Scientist, or related role, ideally with a strong portfolio of AI/ML projects
• Proficiency in programming languages commonly used for AI/ML. Preferably Python
• Familiarity with popular AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, etc.
• Familiarity with popular AI/ML Models such as GPT3, GPT4, Llama2, BERT etc.
• Strong understanding of machine learning algorithms, statistics, and data structures
• Experience with data preprocessing, data wrangling, and feature engineering
• Knowledge of deep learning architectures, neural networks, and transfer learning
• Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud) for scalable AI/ML deployment
• Solid understanding of software engineering principles and best practices for writing maintainable and scalable code
• Excellent analytical and problem-solving skills, with the ability to think critically and propose innovative solutions
• Effective communication skills to collaborate with cross-functional teams and present complex technical concepts to non-technical stakeholders

About the Company

Gruve is an innovative Software Services startup dedicated to empowering Enterprise Customers in managing their Data Life Cycle. We specialize in Cyber Security, Customer Experience, Infrastructure, and advanced technologies such as Machine Learning and Artificial Intelligence. Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.

Why Gruve

At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.

Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.

Position Summary

We are seeking a highly experienced and visionary Senior Engineering Manager – Inference Services to lead and scale our team responsible for building high-performance inference systems that power cutting-edge AI/ML products. This role requires a blend of strong technical expertise, leadership skills, and product-oriented thinking to drive innovation, scalability, and reliability of our inference infrastructure.

Key Responsibilities

Leadership & Strategy

• Lead, mentor, and grow a team of engineers focused on inference platforms, services, and optimizations.
• Define the long-term vision and roadmap for inference services in alignment with product and business goals.
• Partner with cross-functional leaders in ML, Product, Data Science, and Infrastructure to deliver robust, low-latency, and scalable inference solutions.

Engineering Excellence

• Architect and oversee development of distributed, production-grade inference systems ensuring scalability, efficiency, and reliability.
• Drive adoption of best practices for model deployment, monitoring, and continuous improvement of inference pipelines.
• Ensure high availability, cost optimization, and performance tuning of inference workloads across cloud and on-prem environments.

Innovation & Delivery

• Evaluate emerging technologies, frameworks, and hardware accelerators (GPUs, TPUs, etc.) to continuously improve inference efficiency.
• Champion automation and standardization of model deployment and lifecycle management.
• Balance short-term delivery with long-term architectural evolution.

People & Culture

• Build a strong engineering culture focused on collaboration, innovation, and accountability.
• Provide coaching, feedback, and career development opportunities to team members.
• Foster a growth mindset and data-driven decision-making.

Basic Qualifications

Experience

• 12+ years of software engineering experience with at least 4–5 years in engineering leadership roles.
• Proven track record of managing high-performing teams delivering large-scale distributed systems or ML platforms.
• Experience in building and operating inference systems, ML serving platforms, or real-time data systems at scale.

Technical Expertise

• Strong understanding of machine learning model deployment, serving, and optimization (batch & real-time).
• Proficiency in cloud-native technologies (Kubernetes, Docker, microservices architecture).
• Hands-on knowledge of inference frameworks (TensorFlow Serving, Triton Inference Server, TorchServe, etc.) and hardware accelerators.
• Solid background in programming languages (Python, Java, C++ or Go) and performance optimization techniques.

Preferred Qualifications

• Experience with MLOps platforms and end-to-end ML lifecycle management.
• Prior work in high-throughput, low-latency systems (ad-tech, search, recommendations, etc.).
• Knowledge of cost optimization strategies for large-scale inference workloads.

Tired of static UIs? Ready to build the next generation of WealthTech?

We're looking for a sharp, proactive React Developer who is obsessed with building high-performance, beautiful, and scalable frontends. This is your chance to own the user experience for an award-winning fintech platform, working closely with founders and senior engineers to deliver immediate, real-world financial impact.

About Us: The Next Generation of WealthTech

We're Cambridge Wealth, an award-winning force in mutual fund distribution and Fintech. We're not just moving money; we're redefining wealth management for everyone from retail investors to ultra-HNIs (including the NRI segment). Our brand is synonymous with excellence, backed by accolades from the BSE and top Mutual Fund houses.

If you thrive on building high-performance, scalable systems that drive real-world financial impact, you'll feel right at home. Join us in Pune to build the future of finance.

[Learn more: www.cambridgewealth.in]

The Role: Ship Fast, Design Smart

You will be a core frontend specialist, leveraging React to translate complex financial data and AI insights into intuitive, high-speed user interfaces.

Key Impact Areas:

React Development & Prototyping

• Rapid Prototyping: Design and execute quick, iterative front-end experiments in React to validate new features and market hypotheses, moving from concept to production in days, not months.
• UX/UI Ownership: Build scalable, modern, and pixel-perfect UIs that are responsive, fast, and keep the customer's experience top-of-mind at all times.
• Performance: Optimize React components and overall application performance for speed and stability in a data-heavy environment.

Product Execution & Collaboration

• Agile Catalyst: Actively participate in and optimize Agile sprints, ensuring clear technical milestones, backlog grooming, and maintaining a laser focus on preventing scope creep.
• Domain Alignment: Translate complex financial requirements and user stories into precise, actionable React components and seamless front-end workflows.
• Problem Solver: Proactively identify and resolve technical and process bottlenecks, acting as the ultimate problem solver for the engineering and product teams.

Your Tech Stack & Experience

The Must-Haves

• Mindset: A verifiable track record as a proactive First Principle Problem Solver with an intense Passion to Ship production-ready features frequently.
• Customer Empathy: Keeps the customer's experience in mind at all times.
• Systems Thinker: Diagnoses and solves problems by viewing the organization as an interconnected system to anticipate broad impacts and develop holistic, strategic solutions.
• Frontend Expertise: 2+ years of professional experience with deep expertise in ReactJS (Hooks, state management, routing).
• Backend Knowledge: Solid understanding of API integration (REST/GraphQL) and data fetching best practices.

Added Advantage (Nice to Have Skills!)

Proficiency in Node.js and

Experience with Strapi (or similar Headless CMS).

Python (Django/Flask)

Apply now to join our award-winning, forward-thinking team!

Our High-Velocity Hiring Process:

• You Apply & Engage: Quick application and a few insightful questions. (5 min)
• Online Tech Challenge: Prove your tech mettle. (90-100 min)
• People Sync: A focused call to understand if there is cultural and value alignment. (30 min)
• Deep Dive Technical Interview: Discuss architecture and projects with our senior engineers. (1 hour)
• Founder's Vision Interview: Meet the leadership and discuss your impact. (1 hour)
• Offer & Onboarding: Reference and BGV check follow the successful offer.

Question for You: What are you building right now that you're most proud of?

Job Description -

Position: Senior Data Engineer (Azure)

Experience - 6+ Years

Mode - Hybrid

Location - Gurgaon, Pune, Jaipur, Bangalore, Bhopal

Key Responsibilities:

• Data Processing on Azure: Azure Data Factory, Streaming Analytics, Event Hubs, Azure Databricks, Data Migration Service, Data Pipeline.
• Provisioning, configuring, and developing Azure solutions (ADB, ADF, ADW, etc.).
• Design and implement scalable data models and migration strategies.
• Work on distributed big data batch or streaming pipelines (Kafka or similar).
• Develop data integration and transformation solutions for structured and unstructured data.
• Collaborate with cross-functional teams for performance tuning and optimization.
• Monitor data workflows and ensure compliance with data governance and quality standards.
• Contribute to continuous improvement through automation and DevOps practices.

Required Skills & Experience:

• 6–10 years of experience as a Data Engineer.
• Strong proficiency in Azure Databricks, PySpark, Python, SQL, and Azure Data Factory.
• Experience in Data Modelling, Data Migration, and Data Warehousing.
• Good understanding of database structure principles and schema design.
• Hands-on experience using MS SQL Server, Oracle, or similar RDBMS platforms.
• Experience in DevOps tools (Azure DevOps, Jenkins, Airflow, Azure Monitor) – good to have.
• Knowledge of distributed data processing and real-time streaming (Kafka/Event Hub).
• Familiarity with visualization tools like Power BI or Tableau.
• Strong analytical, problem-solving, and debugging skills.
• Self-motivated, detail-oriented, and capable of managing priorities effectively.

JD for Cloud engineer

Job Summary:

We are looking for an experienced GCP Cloud Engineer to design, implement, and manage cloud-based solutions on Google Cloud Platform (GCP). The ideal candidate should have expertise in GKE (Google Kubernetes Engine), Cloud Run, Cloud Loadbalancer, Cloud function, Azure DevOps, and Terraform, with a strong focus on automation, security, and scalability.

You will work closely with development, operations, and security teams to ensure robust cloud infrastructure and CI/CD pipelines while optimizing performance and cost.

Key Responsibilities:

1. Cloud Infrastructure Design & Management

• Architect, deploy, and maintain GCP cloud resources via terraform/other automation.
• Implement Google Cloud Storage, Cloud SQL, filestore,  for data storage and processing needs.
• Manage and configure Cloud Load Balancers (HTTP(S), TCP/UDP, and SSL Proxy) for high availability and scalability.
• Optimize resource allocation, monitoring, and cost efficiency across GCP environments.

2. Kubernetes & Container Orchestration

• Deploy, manage, and optimize workloads on Google Kubernetes Engine (GKE).
• Work with Helm charts for microservices deployments.
• Automate scaling, rolling updates, and zero-downtime deployments.

3. Serverless & Compute Services

• Deploy and manage applications on Cloud Run and Cloud Functions for scalable, serverless workloads.
• Optimize containerized applications running on Cloud Run for cost efficiency and performance.

4. CI/CD & DevOps Automation

• Design, implement, and manage CI/CD pipelines using Azure DevOps.
• Automate infrastructure deployment using Terraform, Bash and Powershell scripting
• Integrate security and compliance checks into the DevOps workflow (DevSecOps).

Required Skills & Qualifications:

✔ Experience: 8+ years in Cloud Engineering, with a focus on GCP.

✔ Cloud Expertise: Strong knowledge of GCP services (GKE, Compute Engine, IAM, VPC, Cloud Storage, Cloud SQL, Cloud Functions).

✔ Kubernetes & Containers: Experience with GKE, Docker, GKE Networking, Helm.

✔ DevOps Tools: Hands-on experience with Azure DevOps for CI/CD pipeline automation.

✔ Infrastructure-as-Code (IaC): Expertise in Terraform for provisioning cloud resources.

✔ Scripting & Automation: Proficiency in Python, Bash, or PowerShell for automation.

✔ Security & Compliance: Knowledge of cloud security principles, IAM, and compliance standards.

Advanced Backend Development: Design, build, and maintain efficient, reusable, and reliable Python code. Develop complex backend services using FastAPI, MongoDB, and Postgres.

Microservices Architecture Design: Lead the design and implementation of a scalable microservices architecture, ensuring systems are robust and reliable.

Database Management and Optimization: Oversee and optimize the performance of MongoDB and Postgres databases, ensuring data integrity and security.

Message Broker Implementation: Implement and manage sophisticated message broker systems like RabbitMQ or Kafka for asynchronous processing and inter-service communication.

Git and Version Control Expertise: Utilize Git for sophisticated source code management. Lead code reviews and maintain high standards in code quality.

Project and Team Management: Manage backend development projects, coordinating with cross-functional teams. Mentor junior developers and contribute to team growth and skill development. Cloud Infrastructure Management: Extensive work with cloud services, specifically Google Cloud Platform (GCP), for deployment, scaling, and management of applications.

Performance Tuning and Optimization: Focus on optimizing applications for maximum speed, efficiency, and scalability.

Unit Testing and Quality Assurance: Develop and maintain thorough unit tests for all developed code. Lead initiatives in test-driven development (TDD) to ensure code quality and reliability.

 Security Best Practices: Implement and advocate for security best practices, data protection protocols, and compliance standards across all backend services.

Knowledge & Experience:

• Providing Technical leadership and guidance to Teams In Data and Analytics engineering solutions and platforms 
• Strong problem-solving skills and the ability to translate business requirements into actionable data science solutions. 
• Excellent communication skills, with the ability to effectively convey complex ideas to technical and non-technical stakeholders. 
• Strong team player with excellent interpersonal and collaboration skills. 
• Ability to manage multiple projects simultaneously and deliver high-quality results within specified timelines. 
• Proven ability to work collaboratively in a global, matrixed environment and engage effectively with global stakeholders across multiple business groups.

Relevant Experience:

• 12+ years of IT experience in delivering medium-to-large data engineering, and analytics solutions
• Min. 4 years of Experience working with Azure Databricks, Azure Data Factory, Azure Data Lake, Azure SQL DW, Azure SQL, Power BI, SAC and other BI, data visualization and exploration tools
• Deep understanding of master data management & governance concepts and methodologies
• Experience in Data Modelling & Source System Analysis 
• Familiarity with PySpark 
• Mastery of SQL 
• Experience with Python programming language used for Data Engineering purpose. 
• Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows. 
• Preferred but not required - 
• Microsoft Certified: Azure Data Engineer Associate 
• Experience in preparing data for Data Science and Machine Learning 
• Knowledge of Jupyter Notebooks or Databricks Notebooks for Python development 
• Power BI Dataset Development and Dax 
• Power BI Report development 
• Exposure to AI services in Azure and Agentic Analytics solutions

Required skills and experience

• Bachelor's degree, Computer Science, Engineering or other similar concentration (BE/MCA)

• Master’s degree a plus

• 3-8 years’ experience in Production Support/ Application Management/ Application Development (support/ maintenance) role.

• Excellent problem-solving/troubleshooting skills, fast learner

• Strong knowledge of Unix Administration.

• Strong scripting skills in Shell, Python, Batch is must.

• Strong Database experience – Oracle

• Strong knowledge of Software Development Life Cycle

• Power shell is nice to have

• Software development skillsets in Java or Ruby.

• Worked upon any of the cloud platforms – GCP/Azure/AWS is nice to have

Job Description:

We are looking for a skilled Backend Developer with 2–5 years of experience in software development, specializing in Python and/or Golang. If you have strong programming skills, enjoy solving problems, and want to work on secure and scalable systems, we'd love to hear from you!

Location - Pune, Baner.

Interview Rounds - In Office

Key Responsibilities:

Design, build, and maintain efficient, reusable, and reliable backend services using Python and/or Golang

Develop and maintain clean and scalable code following best practices

Apply Object-Oriented Programming (OOP) concepts in real-world development

Collaborate with front-end developers, QA, and other team members to deliver high-quality features

Debug, optimize, and improve existing systems and codebase

Participate in code reviews and team discussions

Work in an Agile/Scrum development environment

Required Skills: Strong experience in Python or Golang (working knowledge of both is a plus)

Good understanding of OOP principles

Familiarity with RESTful APIs and back-end frameworks

Experience with databases (SQL or NoSQL)

Excellent problem-solving and debugging skills

Strong communication and teamwork abilities

Good to Have:

Prior experience in the security industry

Familiarity with cloud platforms like AWS, Azure, or GCP

Knowledge of Docker, Kubernetes, or CI/CD tools

Role: DevOps Engineer

Experience: 2–3+ years

Location: Pune

Work Mode: Hybrid (3 days Work from office)

Mandatory Skills:

• Strong hands-on experience with CI/CD tools like Jenkins, GitHub Actions, or AWS CodePipeline
• Proficiency in scripting languages (Bash, Python, PowerShell)
• Hands-on experience with containerization (Docker) and container management
• Proven experience managing infrastructure (On-premise or AWS/VMware)
• Experience with version control systems (Git/Bitbucket/GitHub)
• Familiarity with monitoring and logging tools for system performance tracking
• Knowledge of security best practices and compliance standards
• Bachelor's degree in Computer Science, Engineering, or related field
• Willingness to support production issues during odd hours when required

Preferred Qualifications:

• Certifications in AWS, Docker, or VMware
• Experience with configuration management tools like Ansible
• Exposure to Agile and DevOps methodologies
• Hands-on experience with Virtual Machines and Container orchestration

Job Role: Optimization Engineer - C Programming

Experience: 3 to 8 Years

Location: Bangalore, Pune, Delhi

Were hiring an Optimization Engineer skilled in C Programming and Operations Research / Optimization to design and optimize algorithms solving complex business and engineering problems.

Key Responsibilities:

• Develop and maintain high-performance software using C.
• Build and implement optimization models (linear, integer, nonlinear).
• Collaborate with teams to deliver scalable, efficient solutions.
• Analyze and improve existing algorithms for performance and scalability.

Must-Have Skills:

• Expertise in C Programming and Operations Research / Optimization.
• Strong in data structures, algorithms, and memory management.
• Hands-on with tools like CPLEX, Gurobi, or COIN-OR.
• Python experience is an added advantage.

Preferred Skills:

• Knowledge of Python, C++, or Java.
• Familiarity with AMPL, GAMS, or solver APIs.
• Understanding of HPC, parallel computing, or multi-threading.

Senior Software Engineer.

• A degree in Data Science, Artificial Intelligence, Computer Science, or a related field
• Strong proficiency in Python, with a solid understanding of object-oriented programming principles.
• Proven experience in developing applications powered by Large Language Models (LLMs).
• Demonstrated experience in building and maintaining robust ETL (Extract, Transform, Load) data pipelines.
• Ability to build full-stack applications using JavaScript; experience with modern frameworks like React and Next.js is highly desirable.
• A pragmatic and self-starting individual, capable of executing tasks effectively with minimal supervision.
• Experience developing modern frontend applications, with specific expertise in using Web Components.
• Knowledge of simulation principles and discrete optimisation techniques.
• Relevant professional certifications in AI, Machine Learning, or cloud platforms are a plus.

Experience

• Proven track record building AI (e.g. LLM-powered solutions, Agent-Based Applications), data science, or numerical computing projects end-to-end—from initial concept through to deployment and maintenance.
• Extensive hands-on experience (4+ years) with core technologies, including:
• Advanced Python, utilising libraries such as NumPy, Pandas, and frameworks for multiprocessing and asynchronous programming.
• Relational database management systems.
• Development and deployment within Linux environments.
• Collaborative development workflows using Git.

Job Description:

About CoffeeBeans Consulting

CoffeeBeans is a tech-driven software consulting company that helps businesses solve complex problems using modern data, AI, and engineering solutions. We blend deep technical expertise with a product mindset to build scalable, intelligent, and high-impact solutions across industries. Our data science team works on end-to-end delivery—from exploration and modeling to GenAI application development and deployment.

Location : Bangalore / Pune 

Work mode : Hybrid ( 3 days WFO)

Role Overview

As an L2 Data Scientist, you will play a hands-on role in delivering production-grade ML and GenAI-powered applications. You are expected to independently take ownership of data science components within client projects, contribute to solutioning and design, and mentor junior team members. You will work across a range of use cases such as personalization, fraud detection, intelligent automation, RAG pipelines, and LLM-based assistants.

This role is ideal for someone who has proven experience in both traditional ML and an emerging understanding of LLMs and generative AI applications.

Key Responsibilities

ML & Data Science

Own and deliver ML model development, tuning, and evaluation for client-facing projects.

Lead exploratory data analysis, data preprocessing, and feature engineering with minimal supervision.

Build models using appropriate ML techniques (classification, regression, clustering, recommendation) and ensure performance meets business expectations.

Contribute to experimentation frameworks and model reproducibility best practices.

GenAI & LLM Applications

Design and prototype GenAI solutions using LLMs (e.g., OpenAI, Claude, Mistral, Llama).

Build RAG pipelines, prompt templates, few-shot learning prompts, and evaluation mechanisms for GenAI systems.

Integrate LLMs with APIs, vector databases (e.g., Pinecone, FAISS, Weaviate), and context providers.

Contribute to benchmarking, safety, and cost-performance trade-offs in LLM app development.

Product & Engineering Collaboration

Collaborate with engineering teams to take models from experimentation to deployment (batch/real-time).

Assist in building APIs and data pipelines needed for productionizing models.

Contribute to technical documentation, explainability reports, and client presentations.

Team & Growth

Mentor junior data scientists and review code/model design.

Stay current with advances in ML and GenAI to inform solution design and share knowledge internally.

Participate in discovery and solutioning phases with clients alongside tech leads and PMs.

Required Skills & Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics, or a related field.

4.5 - 6 years of hands-on experience in applied data science, including both ML model development and GenAI-based solutioning.

Strong command over Python and ML libraries (scikit-learn, XGBoost, LightGBM, etc.).

Experience working with LLM APIs (OpenAI, Cohere, Claude, etc.) and frameworks (LangChain, LlamaIndex, or similar).

Hands-on experience with prompt engineering, RAG workflows, and evaluating LLM outputs.

Proficiency in SQL and data wrangling tools (pandas, NumPy).

Experience working with REST APIs, Git, and cloud environments (AWS/GCP).

Good-to-Have Skills

Experience with deploying models via FastAPI, Docker, or serverless platforms.

Knowledge of MLOps tools (MLflow, DVC) and monitoring frameworks.

Experience with embeddings, vector databases, and similarity search.

What You Can Expect at CoffeeBeans

Work on real-world AI/ML problems across verticals.

Be part of a fast-moving team delivering end-to-end ML & GenAI apps.

Collaborate with experienced engineers and PMs in a flat and open culture.

Opportunities to lead, mentor, and influence tech direction.

General Summary:

The Senior Software Engineer will be responsible for designing, developing, testing, and maintaining full-stack solutions. This role involves hands-on coding (80% of time), performing peer code reviews, handling pull requests and engaging in architectural discussions with stakeholders. You'll contribute to the development of large-scale, data-driven SaaS solutions using best practices like TDD, DRY, KISS, YAGNI, and SOLID principles. The ideal candidate is an experienced full-stack developer who thrives in a fast-paced, Agile environment.

Essential Job Functions:

• Design, develop, and maintain scalable applications using Python and Django.
• Build responsive and dynamic user interfaces using React and TypeScript.
• Implement and integrate GraphQL APIs for efficient data querying and real-time updates.
• Apply design patterns such as Factory, Singleton, Observer, Strategy, and Repository to ensure maintainable and scalable code.
• Develop and manage RESTful APIs for seamless integration with third-party services.
• Design, optimize, and maintain SQL databases like PostgreSQL, MySQL, and MSSQL.
• Use version control systems (primarily Git) and follow collaborative workflows.
• Work within Agile methodologies such as Scrum or Kanban, participating in daily stand-ups, sprint planning, and retrospectives.
• Write and maintain unit tests, integration tests, and end-to-end tests, following Test-Driven Development (TDD).
• Collaborate with cross-functional teams, including Product Managers, DevOps, and UI/UX Designers, to deliver high-quality products

Essential functions are the basic job duties that an employee must be able to perform, with or without reasonable accommodation. The function is considered essential if the reason the position exists is to perform that function.

Supportive Job Functions:

• Remain knowledgeable of new emerging technologies and their impact on internal systems.
• Available to work on call when needed.
• Perform other miscellaneous duties as assigned by management.

These tasks do not meet the Americans with Disabilities Act definition of essential job functions and usually equal 5% or less of time spent. However, these tasks still constitute important performance aspects of the job.

Skills

• The ideal candidate must have strong proficiency in Python and Django, with a solid understanding of Object-Oriented Programming (OOPs) principles. Expertise in JavaScript,
• TypeScript, and React is essential, along with hands-on experience in GraphQL for efficient data querying.
• The candidate should be well-versed in applying design patterns such as Factory, Singleton, Observer, Strategy, and Repository to ensure scalable and maintainable code architecture.
• Proficiency in building and integrating REST APIs is required, as well as experience working with SQL databases like PostgreSQL, MySQL, and MSSQL.
• Familiarity with version control systems (especially Git) and working within Agile methodologies like Scrum or Kanban is a must.
• The candidate should also have a strong grasp of Test-Driven Development (TDD) principles.
• In addition to the above, it is good to have experience with Next.js for server-side rendering and static site generation, as well as knowledge of cloud infrastructure such as AWS or GCP.
• Familiarity with NoSQL databases, CI/CD pipelines using tools like GitHub Actions or Jenkins, and containerization technologies like Docker and Kubernetes is highly desirable.
• Experience with microservices architecture and event-driven systems (using tools like Kafka or RabbitMQ) is a plus, along with knowledge of caching technologies such as Redis or
• Memcached. Understanding OAuth2.0, JWT, SSO authentication mechanisms, and adhering to API security best practices following OWASP guidelines is beneficial.
• Additionally, experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation, and familiarity with performance monitoring tools such as New Relic or Datadog will be considered an advantage.

Abilities:

• Ability to organize, prioritize, and handle multiple assignments on a daily basis.
• Strong and effective inter-personal and communication skills
• Ability to interact professionally with a diverse group of clients and staff.
• Must be able to work flexible hours on-site and remote.
• Must be able to coordinate with other staff and provide technological leadership.
• Ability to work in a complex, dynamic team environment with minimal supervision.
• Must possess good organizational skills.

Education, Experience, and Certification:

• Associate or bachelor’s degree preferred (Computer Science, Engineer, etc.), but equivalent work experience in a technology related area may substitute.
• 2+ years relevant experience, required.
• Experience using version control daily in a developer environment.
• Experience with Python, JavaScript, and React is required.
• Experience using rapid development frameworks like Django or Flask.
• Experience using front end build tools.

Job Description:

Position - Cloud Developer

Experience - 5 - 8 years

Location - Mumbai & Pune

Responsibilities:

• Design, develop, and maintain robust software applications using most common and popular coding languages suitable for the application design, with a strong focus on clean, maintainable, and efficient code.
• Develop, maintain, and enhance Terraform modules to encapsulate common infrastructure patterns and promote code reuse and standardization.
• Develop RESTful APIs and backend services aligned with modern architectural practices.
• Apply object-oriented programming principles and design patterns to build scalable systems.
• Build and maintain automated test frameworks and scripts to ensure high product quality.
• Troubleshoot and resolve technical issues across application layers, from code to infrastructure.
• Work with cloud platforms such as Azure or Google Cloud Platform (GCP).
• Use Git and related version control practices effectively in a team-based development environment.
• Integrate and experiment with AI development tools like GitHub Copilot, Azure OpenAI, or similar to boost engineering efficiency.

Skills:

• 5+ years of experience
• Experience with IaC Module
• Terraform coding experience along with Terraform Module as a part of central platform team
• Azure/GCP cloud experience is a must
• Experience with C#/Python/Java Coding - is good to have

Dear Candidate,

Greetings from Wissen Technology. 

We have an exciting Job opportunity for GCP SRE Engineer Professionals. Please refer to the Job Description below and share your profile if interested.   

 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 consists of 1000+ 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.
• The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.
• 
  

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

Job Description: 

Please find below details:

Experience - 4+ Years

Location- Bangalore/Mumbai/Pune

Team Responsibilities

The successful candidate shall be part of the S&C – SRE Team. Our team provides a tier 2/3 support to S&C Business. This position involves collaboration with the client facing teams like Client Services, Product and Research teams and Infrastructure/Technology and Application development teams to perform Environment and Application maintenance and support.

Resource's key Responsibilities

• Provide Tier 2/3 product technical support.

• Building software to help operations and support activities.

• Manage system\software configurations and troubleshoot environment issues.

• Identify opportunities for optimizing system performance through changes in configuration or suggestions for development.

• Plan, document and deploy software applications on our Unix/Linux/Azure and GCP based systems.

• Collaborate with development and software testing teams throughout the release process.

• Analyze release and deployment processes to identify key areas for automation and optimization.

• Manage hardware and software resources & coordinate maintenance, planned downtimes with

infrastructure group across all the environments. (Production / Non-Production).

• Must spend minimum one week a month as on call support to help with off-hour emergencies and maintenance activities.

Required skills and experience

• Bachelor's degree, Computer Science, Engineering or other similar concentration (BE/MCA)

• Master’s degree a plus

• 6-8 years’ experience in Production Support/ Application Management/ Application Development (support/ maintenance) role.

• Excellent problem-solving/troubleshooting skills, fast learner

• Strong knowledge of Unix Administration.

• Strong scripting skills in Shell, Python, Batch is must.

• Strong Database experience – Oracle

• Strong knowledge of Software Development Life Cycle

• Power shell is nice to have

• Software development skillsets in Java or Ruby.

• Worked upon any of the cloud platforms – GCP/Azure/AWS is nice to have

Our Client is looking to hire Databricks Amin immediatly.

This is PAN-INDIA Bulk hiring

Minimum of 6-8+ years with Databricks, Pyspark/Python and AWS.

Must have AWS

Notice 15-30 days is preferred.

Share profiles at hr at etpspl dot com

Please refer/share our email to your friends/colleagues who are looking for job.

Dear Candidate,

Greetings from Wissen Technology. 

We have an exciting Job opportunity for GCP SRE Engineer Professionals. Please refer to the Job Description below and share your profile if interested.   

 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 consists of 1000+ 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.
• The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.
• 
  

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

Job Description: 

Please find below details:

Experience - 4+ Years

Location- Bangalore/Mumbai/Pune

Team Responsibilities

The successful candidate shall be part of the S&C – SRE Team. Our team provides a tier 2/3 support to S&C Business. This position involves collaboration with the client facing teams like Client Services, Product and Research teams and Infrastructure/Technology and Application development teams to perform Environment and Application maintenance and support.

Resource's key Responsibilities

• Provide Tier 2/3 product technical support.

• Building software to help operations and support activities.

• Manage system\software configurations and troubleshoot environment issues.

• Identify opportunities for optimizing system performance through changes in configuration or suggestions for development.

• Plan, document and deploy software applications on our Unix/Linux/Azure and GCP based systems.

• Collaborate with development and software testing teams throughout the release process.

• Analyze release and deployment processes to identify key areas for automation and optimization.

• Manage hardware and software resources & coordinate maintenance, planned downtimes with

infrastructure group across all the environments. (Production / Non-Production).

• Must spend minimum one week a month as on call support to help with off-hour emergencies and maintenance activities.

Required skills and experience

• Bachelor's degree, Computer Science, Engineering or other similar concentration (BE/MCA)

• Master’s degree a plus

• 6-8 years’ experience in Production Support/ Application Management/ Application Development (support/ maintenance) role.

• Excellent problem-solving/troubleshooting skills, fast learner

• Strong knowledge of Unix Administration.

• Strong scripting skills in Shell, Python, Batch is must.

• Strong Database experience – Oracle

• Strong knowledge of Software Development Life Cycle

• Power shell is nice to have

• Software development skillsets in Java or Ruby.

• Worked upon any of the cloud platforms – GCP/Azure/AWS is nice to have

About Nirmitee.io

Nirmitee.io is a fast-growing product engineering and IT services company building world-class products across healthcare and fintech. We believe in engineering excellence, innovation, and long-term impact. As a Tech Lead, you’ll be at the core of this journey — driving execution, building scalable systems, and mentoring a strong team.

• What You’ll DoLead by Example:

Be a hands-on contributor — writing clean, scalable, and production-grade code.

Review pull requests, set coding standards, and push for technical excellence.

• Own Delivery:

Take end-to-end ownership of sprints, architecture, code quality, and deployment.

Collaborate with PMs and founders to scope, plan, and execute product features.

• Build & Scale Teams:

Mentor and coach engineers to grow technically and professionally.

Foster a culture of accountability, transparency, and continuous improvement.

• Drive Process & Best Practices:

Implement strong CI/CD pipelines, testing strategies, and release processes.

Ensure predictable and high-quality delivery across multiple projects.

• Architect & Innovate:

Make key technical decisions, evaluate new technologies, and design system architecture for scale and performance.

Help shape the engineering roadmap with future-proof solutions.

• What We’re Looking For10+ years of experience in software development with at least 2 years in a lead/mentorship role.
• Strong hands-on expertise in MERN Stack or Python/Django/Flask, or GoLang/Java/Rust.
• Experience with AWS / Azure / GCP, containerization (Docker/Kubernetes), and CI/CD pipelines.
• Deep understanding of system design, architecture patterns, and performance optimization.
• Proven track record of shipping products in fast-paced environments.
• Strong communication, leadership, and ownership mindset.
• Believes in delivering what is committed, has a show-up attitude

• Nice to HaveExposure to healthcare or fintech domains.
• Experience in building scalable SaaS platforms or open-source contributions.
• Knowledge of security, compliance, and observability best practices.

• Why Nirmitee.ioWork directly with the founding team and shape product direction.
• Flat hierarchy — your ideas will matter.
• Ownership, speed, and impact.
• Opportunity to build something historical.

Full-Stack Developer

Exp: 5+ years required

Night shift: 8 PM-5 AM/9PM-6 AM

Only Immediate Joinee Can Apply

We are seeking a mid-to-senior level Full-Stack Developer with a foundational understanding of software development, cloud services, and database management. In this role, you will contribute to both the front-end and back-end of our application. focusing on creating a seamless user experience, supported by robust and scalable cloud infrastructure.

Key Responsibilities

● Develop and maintain user-facing features using React.js and TypeScript.

● Write clean, efficient, and well-documented JavaScript/TypeScript code.

● Assist in managing and provisioning cloud infrastructure on AWS using Infrastructure as Code (IaC) principles.

● Contribute to the design, implementation, and maintenance of our databases.

● Collaborate with senior developers and product managers to deliver high-quality software.

● Troubleshoot and debug issues across the full stack.

● Participate in code reviews to maintain code quality and share knowledge.

Qualifications

● Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.

● 5+ years of professional experience in web development.

● Proficiency in JavaScript and/or TypeScript.

● Proficiency in Golang and Python.

● Hands-on experience with the React.js library for building user interfaces.

● Familiarity with Infrastructure as Code (IaC) tools and concepts (e.g.(AWS CDK, Terraform, or CloudFormation).

● Basic understanding of AWS and its core services (e.g., S3, EC2, Lambda, DynamoDB).

● Experience with database management, including relational (e.g., PostgreSQL) or NoSQL (e.g., DynamoDB, MongoDB) databases.

● Strong problem-solving skills and a willingness to learn.

● Familiarity with modern front-end build pipelines and tools like Vite and Tailwind CSS.

● Knowledge of CI/CD pipelines and automated testing.

We are seeking a mid-to-senior level Full-Stack Developer with a foundational understanding of software development, cloud services, and database management. In this role, you will contribute to both the front-end and back-end of our application. focusing on creating a seamless user experience, supported by robust and scalable cloud infrastructure.

Key Responsibilities

● Develop and maintain user-facing features using React.js and TypeScript.

● Write clean, efficient, and well-documented JavaScript/TypeScript code.

● Assist in managing and provisioning cloud infrastructure on AWS using Infrastructure as Code (IaC) principles.

● Contribute to the design, implementation, and maintenance of our databases.

● Collaborate with senior developers and product managers to deliver high-quality software.

● Troubleshoot and debug issues across the full stack.

● Participate in code reviews to maintain code quality and share knowledge.

Qualifications

● Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.

● 5+ years of professional experience in web development.

● Proficiency in JavaScript and/or TypeScript.

● Proficiency in Golang and Python.

● Hands-on experience with the React.js library for building user interfaces.

● Familiarity with Infrastructure as Code (IaC) tools and concepts (e.g.(AWS CDK, Terraform, or CloudFormation).

● Basic understanding of AWS and its core services (e.g., S3, EC2, Lambda, DynamoDB).

● Experience with database management, including relational (e.g., PostgreSQL) or NoSQL (e.g., DynamoDB, MongoDB) databases.

● Strong problem-solving skills and a willingness to learn.

● Familiarity with modern front-end build pipelines and tools like Vite and Tailwind CSS.

● Knowledge of CI/CD pipelines and automated testing.

Job Description:

Role: Data Scientist

Responsibilities:

 Lead data science and machine learning projects, contributing to model development, optimization and evaluation. 

 Perform data cleaning, feature engineering, and exploratory data analysis.  

Translate business requirements into technical solutions, document and communicate project progress, manage non-technical stakeholders.

Collaborate with other DS and engineers to deliver projects.

Technical Skills – Must have:

Experience in and understanding of the natural language processing (NLP) and large language model (LLM) landscape.

Proficiency with Python for data analysis, supervised & unsupervised learning ML tasks.

Ability to translate complex machine learning problem statements into specific deliverables and requirements.

Should have worked with major cloud platforms such as AWS, Azure or GCP.

Working knowledge of SQL and no-SQL databases.

Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles.

Keep abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization.

Strong understanding of evaluation and monitoring metrics for machine learning projects.

Role: Data Scientist (Python + R Expertise)

Exp: 8 -12 Years

CTC: up to 30 LPA

Required Skills & Qualifications:

• 8–12 years of hands-on experience as a Data Scientist or in a similar analytical role.
• Strong expertise in Python and R for data analysis, modeling, and visualization.
• Proficiency in machine learning frameworks (scikit-learn, TensorFlow, PyTorch, caret, etc.).
• Strong understanding of statistical modeling, hypothesis testing, regression, and classification techniques.
• Experience with SQL and working with large-scale structured and unstructured data.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and deployment practices (Docker, MLflow).
• Excellent analytical, problem-solving, and communication skills.

Preferred Skills:

• Experience with NLP, time series forecasting, or deep learning projects.
• Exposure to data visualization tools (Tableau, Power BI, or R Shiny).
• Experience working in product or data-driven organizations.
• Knowledge of MLOps and model lifecycle management is a plus.

If interested kindly share your updated resume on 82008 31681

Job Summary:

Deqode is looking for a highly motivated and experienced Python + AWS Developer to join our growing technology team. This role demands hands-on experience in backend development, cloud infrastructure (AWS), containerization, automation, and client communication. The ideal candidate should be a self-starter with a strong technical foundation and a passion for delivering high-quality, scalable solutions in a client-facing environment.

Key Responsibilities:

• Design, develop, and deploy backend services and APIs using Python.
• Build and maintain scalable infrastructure on AWS (EC2, S3, Lambda, RDS, etc.).
• Automate deployments and infrastructure with Terraform and Jenkins/GitHub Actions.
• Implement containerized environments using Docker and manage orchestration via Kubernetes.
• Write automation and scripting solutions in Bash/Shell to streamline operations.
• Work with relational databases like MySQL and SQL, including query optimization.
• Collaborate directly with clients to understand requirements and provide technical solutions.
• Ensure system reliability, performance, and scalability across environments.

Required Skills:

• 3.5+ years of hands-on experience in Python development.
• Strong expertise in AWS services such as EC2, Lambda, S3, RDS, IAM, CloudWatch.
• Good understanding of Terraform or other Infrastructure as Code tools.
• Proficient with Docker and container orchestration using Kubernetes.
• Experience with CI/CD tools like Jenkins or GitHub Actions.
• Strong command of SQL/MySQL and scripting with Bash/Shell.
• Experience working with external clients or in client-facing roles.

Preferred Qualifications:

• AWS Certification (e.g., AWS Certified Developer or DevOps Engineer).
• Familiarity with Agile/Scrum methodologies.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.

Job Title : Senior QA Automation Architect (Cloud & Kubernetes)

Experience : 6+ Years

Location : India (Multiple Offices)

Shift Timings : 12 PM to 9 PM (Noon Shift)

Working Days : 5 Days WFO (NO Hybrid)

About the Role :

We’re looking for a Senior QA Automation Architect with deep expertise in cloud-native systems, Kubernetes, and automation frameworks.

You’ll design scalable test architectures, enhance automation coverage, and ensure product reliability across hybrid-cloud and distributed environments.

Key Responsibilities :

• Architect and maintain test automation frameworks for microservices.
• Integrate automated tests into CI/CD pipelines (Jenkins, GitHub Actions).
• Ensure reliability, scalability, and observability of test systems.
• Work closely with DevOps and Cloud teams to streamline automation infrastructure.

Mandatory Skills :

• Kubernetes, Helm, Docker, Linux
• Cloud Platforms : AWS / Azure / GCP
• CI/CD Tools : Jenkins, GitHub Actions
• Scripting : Python, Pytest, Bash
• Monitoring & Performance : Prometheus, Grafana, Jaeger, K6
• IaC Practices : Terraform / Ansible

Good to Have :

• Experience with Service Mesh (Istio/Linkerd).
• Container Security or DevSecOps exposure.

Company Overview:

Virtana delivers the industry’s only unified platform for Hybrid Cloud Performance, Capacity and Cost Management. Our platform provides unparalleled, real-time visibility into the performance, utilization, and cost of infrastructure across the hybrid cloud – empowering customers to manage their mission critical applications across physical, virtual, and cloud computing environments. Our SaaS platform allows organizations to easily manage and optimize their spend in the public cloud, assure resources are performing properly through real-time monitoring, and provide the unique ability to plan migrations across the hybrid cloud. 

As we continue to expand our portfolio, we are seeking a highly skilled and hands-on Staff Software Engineer in backend technologies to contribute to the futuristic development of our sophisticated monitoring products.

Position Overview:

As a Staff Software Engineer specializing in backend technologies for Storage and Network monitoring in an AI enabled Data center as well as Cloud, you will play a critical role in designing, developing, and delivering high-quality features within aggressive timelines. Your expertise in microservices-based streaming architectures and strong hands-on development skills are essential to solve complex problems related to large-scale data processing. Proficiency in backend technologies such as Java, Python is crucial.

Key Responsibilities:

• Hands-on Development: Actively participate in the design, development, and delivery of high-quality features, demonstrating strong hands-on expertise in backend technologies like Java, Python, Go or related languages.
• Microservices and Streaming Architectures: Design and implement microservices-based streaming architectures to efficiently process and analyze large volumes of data, ensuring real-time insights and optimal performance.
• Agile Development: Collaborate within an agile development environment to deliver features on aggressive schedules, maintaining a high standard of quality in code, design, and architecture.
• Feature Ownership: Take ownership of features from inception to deployment, ensuring they meet product requirements and align with the overall product vision.
• Problem Solving and Optimization: Tackle complex technical challenges related to data processing, storage, and real-time monitoring, and optimize backend systems for high throughput and low latency.
• Code Reviews and Best Practices: Conduct code reviews, provide constructive feedback, and promote best practices to maintain a high-quality and maintainable codebase.
• Collaboration and Communication: Work closely with cross-functional teams, including UI/UX designers, product managers, and QA engineers, to ensure smooth integration and alignment with product goals.
• Documentation: Create and maintain technical documentation, including system architecture, design decisions, and API documentation, to facilitate knowledge sharing and onboarding.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• 8+ years of hands-on experience in backend development, demonstrating expertise in Java, Python or related technologies.
• Strong domain knowledge in Storage and Networking, with exposure to monitoring technologies and practices.
• Experience is handling the large data-lakes with purpose-built data stores (Vector databases, no-SQL, Graph, Time-series).
• Practical knowledge of OO design patterns and Frameworks like Spring, Hibernate.
• Extensive experience with cloud platforms such as AWS, Azure or GCP and development expertise on Kubernetes, Docker, etc.
• Solid experience designing and delivering features with high quality on aggressive schedules.
• Proven experience in microservices-based streaming architectures, particularly in handling large amounts of data for storage and networking monitoring.
• Familiarity with performance optimization techniques and principles for backend systems.
• Excellent problem-solving and critical-thinking abilities.
• Outstanding communication and collaboration skills.

Why Join Us:

• Opportunity to be a key contributor in the development of a leading performance monitoring company specializing in AI-powered Storage and Network monitoring.
• Collaborative and innovative work environment.
• Competitive salary and benefits package.
• Professional growth and development opportunities.
• Chance to work on cutting-edge technology and products that make a real impact.

If you are a hands-on technologist with a proven track record of designing and delivering high-quality features on aggressive schedules and possess strong expertise in microservices-based streaming architectures, we invite you to apply and help us redefine the future of performance monitoring.

Wissen Technology is hiring for Data Engineer

About Wissen Technology: At Wissen Technology, we deliver niche, custom-built products that solve complex business challenges across industries worldwide. Founded in 2015, our core philosophy is built around a strong product engineering mindset—ensuring every solution is architected and delivered right the first time. Today, Wissen Technology has a global footprint with 2000+ employees across offices in the US, UK, UAE, India, and Australia. Our commitment to excellence translates into delivering 2X impact compared to traditional service providers. How do we achieve this? Through a combination of deep domain knowledge, cutting-edge technology expertise, and a relentless focus on quality. We don’t just meet expectations—we exceed them by ensuring faster time-to-market, reduced rework, and greater alignment with client objectives. We have a proven track record of building mission-critical systems across industries, including financial services, healthcare, retail, manufacturing, and more. Wissen stands apart through its unique delivery models. Our outcome-based projects ensure predictable costs and timelines, while our agile pods provide clients the flexibility to adapt to their evolving business needs. Wissen leverages its thought leadership and technology prowess to drive superior business outcomes. Our success is powered by top-tier talent. Our mission is clear: to be the partner of choice for building world-class custom products that deliver exceptional impact—the first time, every time.

Job Summary: Wissen Technology is hiring a Data Engineer with expertise in Python, Pandas, Airflow, and Azure Cloud Services. The ideal candidate will have strong communication skills and experience with Kubernetes.

Experience: 4-7 years

Notice Period: Immediate- 15 days

Location: Pune, Mumbai, Bangalore

Mode of Work: Hybrid

Key Responsibilities:

• Develop and maintain data pipelines using Python and Pandas.
• Implement and manage workflows using Airflow.
• Utilize Azure Cloud Services for data storage and processing.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Ensure data quality and integrity throughout the data lifecycle.
• Optimize and scale data infrastructure to meet business needs.

Qualifications and Required Skills:

• Proficiency in Python (Must Have).
• Strong experience with Pandas (Must Have).
• Expertise in Airflow (Must Have).
• Experience with Azure Cloud Services.
• Good communication skills.

Good to Have Skills:

• Experience with Pyspark.
• Knowledge of Kubernetes.

Wissen Sites:

• Website: http://www.wissen.com
• LinkedIn: https://www.linkedin.com/company/wissen-technology
• Wissen Leadership: https://www.wissen.com/company/leadership-team/
• Wissen Live: https://www.linkedin.com/company/wissen-technology/posts/feedView=All
• Wissen Thought Leadership: https://www.wissen.com/articles/

SENIOR DATA ENGINEER:

ROLE SUMMARY:

Own the design and delivery of petabyte-scale data platforms and pipelines across AWS and modern Lakehouse stacks. You’ll architect, code, test, optimize, and operate ingestion, transformation, storage, and serving layers. This role requires autonomy, strong engineering judgment, and partnership with project managers, infrastructure teams, testers, and customer architects to land secure, cost-efficient, and high-performing solutions.

RESPONSIBILITIES:

• Architecture and design: Create HLD/LLD/SAD, source–target mappings, data contracts, and optimal designs aligned to requirements.
• Pipeline development: Build and test robust ETL/ELT for batch, micro-batch, and streaming across RDBMS, flat files, APIs, and event sources.
• Performance and cost tuning: Profile and optimize jobs, right-size infrastructure, and model license/compute/storage costs.
• Data modeling and storage: Design schemas and SCD strategies; manage relational, NoSQL, data lakes, Delta Lakes, and Lakehouse tables.
• DevOps and release: Establish coding standards, templates, CI/CD, configuration management, and monitored release processes.
• Quality and reliability: Define DQ rules and lineage; implement SLA tracking, failure detection, RCA, and proactive defect mitigation.
• Security and governance: Enforce IAM best practices, retention, audit/compliance; implement PII detection and masking.
• Orchestration: Schedule and govern pipelines with Airflow and serverless event-driven patterns.
• Stakeholder collaboration: Clarify requirements, present design options, conduct demos, and finalize architectures with customer teams.
• Leadership: Mentor engineers, set FAST goals, drive upskilling and certifications, and support module delivery and sprint planning.

REQUIRED QUALIFICATIONS:

• Experience: 15+ years designing distributed systems at petabyte scale; 10+ years building data lakes and multi-source ingestion.
•  Cloud (AWS): IAM, VPC, EC2, EKS/ECS, S3, RDS, DMS, Lambda, CloudWatch, CloudFormation, CloudTrail.
• Programming: Python (preferred), PySpark, SQL for analytics, window functions, and performance tuning.
• ETL tools: AWS Glue, Informatica, Databricks, GCP DataProc; orchestration with Airflow.
• Lakehouse/warehousing: Snowflake, BigQuery, Delta Lake/Lakehouse; schema design, partitioning, clustering, performance optimization.
• DevOps/IaC: Terraform with 15+ years of practice; CI/CD (GitHub Actions, Jenkins) with 10+ years; config governance and release management.
• Serverless and events: Design event-driven distributed systems on AWS.
• NoSQL: 2–3 years with DocumentDB including data modeling and performance considerations.
• AI services: AWS Entity Resolution, AWS Comprehend; run custom LLMs on Amazon SageMaker; use LLMs for PII classification.

NICE-TO-HAVE QUALIFICATIONS:

• Data governance automation: 10+ years defining audit, compliance, retention standards and automating governance workflows.
• Table and file formats: Apache Parquet; Apache Iceberg as analytical table format.
• Advanced LLM workflows: RAG and agentic patterns over proprietary data; re-ranking with index/vector store results.
• Multi-cloud exposure: Azure ADF/ADLS, GCP Dataflow/DataProc; FinOps practices for cross-cloud cost control.

OUTCOMES AND MEASURES:

• Engineering excellence: Adherence to processes, standards, and SLAs; reduced defects and non-compliance; fewer recurring issues.
• Efficiency: Faster run times and lower resource consumption with documented cost models and performance baselines.
• Operational reliability: Faster detection, response, and resolution of failures; quick turnaround on production bugs; strong release success.
• Data quality and security: High DQ pass rates, robust lineage, minimal security incidents, and audit readiness.
• Team and customer impact: On-time milestones, clear communication, effective demos, improved satisfaction, and completed certifications/training.

LOCATION AND SCHEDULE:

●      Location: Outside US (OUS).

●      Schedule: Minimum 6 hours of overlap with US time zones.

Experience: 3–7 Years

Locations: Pune / Bangalore / Mumbai

Notice Period :Immediate joiner only

Employment Type: Full-time

🛠️ Key Skills (Mandatory):

• Python: Strong coding skills for data manipulation and automation.
• PySpark: Experience with distributed data processing using Spark.
• SQL: Proficient in writing complex queries for data extraction and transformation.
• Azure Databricks: Hands-on experience with notebooks, Delta Lake, and MLflow

Interested candidates please share resume with details below.

Total Experience -

Relevant Experience in Python,Pyspark,AQL,Azure Data bricks-

Current CTC -

Expected CTC -

Notice period -

Current Location -

Desired Location -

Experience - 7+Yrs

Must-Have:

o Python (Pandas, PySpark)

o Data engineering & workflow optimization

o Delta Tables, Parquet

· Good-to-Have:

o Databricks

o Apache Spark, DBT, Airflow

o Advanced Pandas optimizations

o PyTest/DBT testing frameworks

Interested candidates can revert back with detail below.

Total Experience -

Relevant Experience in Python,Pandas.DE,Workflow optimization,delta table.-

Current CTC -

Expected CTC -

Notice Period -LWD -

Current location -

Desired location -

Wissen Technology is hiring for Data Engineer

About Wissen Technology:At Wissen Technology, we deliver niche, custom-built products that solve complex business challenges across industries worldwide. Founded in 2015, our core philosophy is built around a strong product engineering mindset—ensuring every solution is architected and delivered right the first time. Today, Wissen Technology has a global footprint with 2000+ employees across offices in the US, UK, UAE, India, and Australia. Our commitment to excellence translates into delivering 2X impact compared to traditional service providers. How do we achieve this? Through a combination of deep domain knowledge, cutting-edge technology expertise, and a relentless focus on quality. We don’t just meet expectations—we exceed them by ensuring faster time-to-market, reduced rework, and greater alignment with client objectives. We have a proven track record of building mission-critical systems across industries, including financial services, healthcare, retail, manufacturing, and more. Wissen stands apart through its unique delivery models. Our outcome-based projects ensure predictable costs and timelines, while our agile pods provide clients the flexibility to adapt to their evolving business needs. Wissen leverages its thought leadership and technology prowess to drive superior business outcomes. Our success is powered by top-tier talent. Our mission is clear: to be the partner of choice for building world-class custom products that deliver exceptional impact—the first time, every time.

Job Summary:Wissen Technology is hiring a Data Engineer with a strong background in Python, data engineering, and workflow optimization. The ideal candidate will have experience with Delta Tables, Parquet, and be proficient in Pandas and PySpark.

Experience:7+ years

Location:Pune, Mumbai, Bangalore

Mode of Work:Hybrid

Key Responsibilities:

• Develop and maintain data pipelines using Python (Pandas, PySpark).
• Optimize data workflows and ensure efficient data processing.
• Work with Delta Tables and Parquet for data storage and management.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Ensure data quality and integrity throughout the data lifecycle.
• Implement best practices for data engineering and workflow optimization.

Qualifications and Required Skills:

• Proficiency in Python, specifically with Pandas and PySpark.
• Strong experience in data engineering and workflow optimization.
• Knowledge of Delta Tables and Parquet.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a team environment.
• Strong communication skills.

Good to Have Skills:

• Experience with Databricks.
• Knowledge of Apache Spark, DBT, and Airflow.
• Advanced Pandas optimizations.
• Familiarity with PyTest/DBT testing frameworks.

Wissen Sites:

• Website: http://www.wissen.com
• LinkedIn: https://www.linkedin.com/company/wissen-technology
• Wissen Leadership: https://www.wissen.com/company/leadership-team/
• Wissen Live: https://www.linkedin.com/company/wissen-technology/posts/feedView=All
• Wissen Thought Leadership: https://www.wissen.com/articles/

Wissen | Driving Digital Transformation

A technology consultancy that drives digital innovation by connecting strategy and execution, helping global clients to strengthen their core technology.

Skills and competencies:

Required:

·        Strong analytical skills in conducting sophisticated statistical analysis using bureau/vendor data, customer performance

Data and macro-economic data to solve business problems.

·        Working experience in languages PySpark & Scala to develop code to validate and implement models and codes in

Credit Risk/Banking

·        Experience with distributed systems such as Hadoop/MapReduce, Spark, streaming data processing, cloud architecture.

• Familiarity with machine learning frameworks and libraries (like scikit-learn, SparkML, tensorflow, pytorch etc.
• Experience in systems integration, web services, batch processing
• Experience in migrating codes to PySpark/Scala is big Plus
• The ability to act as liaison conveying information needs of the business to IT and data constraints to the business

applies equal conveyance regarding business strategy and IT strategy, business processes and work flow

·        Flexibility in approach and thought process

·        Attitude to learn and comprehend the periodical changes in the regulatory requirement as per FED

Job Overview:

We are looking for a skilled Senior Backend Engineer to join our team. The ideal candidate will have a strong foundation in Java and Spring, with proven experience in building scalable microservices and backend systems. This role also requires familiarity with automation tools, Python development, and working knowledge of AI technologies.

Responsibilities:

• Design, develop, and maintain backend services and microservices.
• Build and integrate RESTful APIs across distributed systems.
• Ensure performance, scalability, and reliability of backend systems.
• Collaborate with cross-functional teams and participate in agile development.
• Deploy and maintain applications on AWS cloud infrastructure.
• Contribute to automation initiatives and AI/ML feature integration.
• Write clean, testable, and maintainable code following best practices.
• Participate in code reviews and technical discussions.

Required Skills:

• 4+ years of backend development experience.
• Strong proficiency in Java and Spring/Spring Boot frameworks.
• Solid understanding of microservices architecture.
• Experience with REST APIs, CI/CD, and debugging complex systems.
• Proficient in AWS services such as EC2, Lambda, S3.
• Strong analytical and problem-solving skills.
• Excellent communication in English (written and verbal).

Good to Have:

• Experience with automation tools like Workato or similar.
• Hands-on experience with Python development.
• Familiarity with AI/ML features or API integrations.
• Comfortable working with US-based teams (flexible hours).

Role Overview

We're looking for a highly motivated AI Intern to join our dynamic team. This isn't your average internship; you'll be diving headfirst into the exciting world of Natural Language Processing (NLP) and Large Language Models (LLMs). You will work on real-world projects, contributing directly to our core products by researching, developing, and fine-tuning state-of-the-art language models. If you're passionate about making machines understand and generate human language, this is the perfect role for you!

Skills Needed:

1. Python
2. ML
3. NLP
4. LLM Fine-Tuning
5. Fast API

What You'll Do (Key Responsibilities)

Develop & Implement LLM Models: Assist in building and deploying LLM solutions for tasks like sentiment analysis, text summarization, named entity recognition (NER), and question-answering.

Fine-Tune LLMs: Work hands-on with pre-trained Large Language Models (like Llama, GPT, BERT) and fine-tune them on our custom datasets to enhance performance for specific tasks.

Data Pipeline Management: Be responsible for data preprocessing, cleaning, and augmentation to create high-quality datasets for training and evaluation.

Experiment & Evaluate: Research and experiment with different model architectures and fine-tuning strategies (e.g., LoRA, QLoRA) to optimize for accuracy, speed, and cost.

Collaborate & Document: Work closely with our senior ML engineers and data scientists, actively participating in code reviews and clearly documenting your findings and methodologies.

Must-Have Skills (Qualifications)

Strong Python Proficiency: You live and breathe Python and are comfortable with its data science ecosystem (Pandas, NumPy, Scikit-learn).

Solid ML & NLP Fundamentals: A strong theoretical understanding of machine learning algorithms, deep learning concepts, and core NLP techniques (e.g., tokenization, embeddings, attention mechanisms).

Deep Learning Frameworks: Hands-on experience with either PyTorch or TensorFlow.

Familiarity with LLMs: You understand the basics of transformer architecture and have some exposure to working with or fine-tuning Large Language Models.

Problem-Solving Mindset: An analytical and curious approach to tackling complex challenges.

Educational Background: Currently pursuing or recently graduated with a degree in Computer Science, AI, Data Science, or a related technical field.

Brownie Points For (Preferred Skills)

Experience with the Hugging Face ecosystem (Transformers, Datasets, Tokenizers).

A portfolio of personal or academic projects on GitHub showcasing your AI/ML skills.

Familiarity with vector databases (e.g., Pinecone, ChromaDB).

Senior SRE Developer 

The Site Reliability Engineer (SRE) position is a software development-oriented role, focusing heavily on coding, automation, and ensuring the stability and reliability of our global platform. The ideal candidate will primarily be a skilled software developer capable of participating in on-call rotations. The SRE team develops sophisticated telemetry and automation tools, proactively monitoring platform health and executing automated corrective actions. As guardians of the production environment, the SRE team leverages advanced telemetry to anticipate and mitigate issues, ensuring continuous platform stability.

Responsibilities:

• ● Develop and maintain advanced telemetry and automation tools for monitoring and managing global platform health.
• ● Actively participate in on-call rotations, swiftly diagnosing and resolving system issues and escalations from the customer support team (this is not a customer-facing role).
• ● Implement automated solutions for incident response, system optimization, and reliability improvement.

Requirements: Software Development:

• ● 3+ years of professional Python development experience.
• ● Strong grasp of Python object-oriented programming concepts and inheritance.
• ● Experience developing multi-threaded Python applications.
• ● 2+ years of experience using Terraform, with proficiency in creating modules and submodules
• from scratch.
• ● Proficiency or willingness to learn Golang.
• Operating Systems:
• ● Experience with Linux operating systems.
• ● Strong understanding of monitoring critical system health parameters.
• Cloud:
• ● 3+ years of hands-on experience with AWS services including EC2, Lambda, CloudWatch, EKS, ELB, RDS, DynamoDB, and SQS.
• ● AWS Associate-level certification or higher preferred. Networking:

● Basic understanding of network protocols: ○ TCP/IP

○ DNS

○ HTTP

○ Load balancing concepts

Additional Qualifications (Preferred):

● Familiarity with trading systems and low-latency environments is advantageous but not required.

About Data Axle:

Data Axle Inc. has been an industry leader in data, marketing solutions, sales and research for over 50 years in the USA. Data Axle now as an established strategic global centre of excellence in Pune. This centre delivers mission critical data services to its global customers powered by its proprietary cloud-based technology platform and by leveraging proprietary business & consumer databases.

Data Axle Pune is pleased to have achieved certification as a Great Place to Work!

Roles & Responsibilities:

We are looking for a Data Scientist to join the Data Science Client Services team to continue our success of identifying high quality target audiences that generate profitable marketing return for our clients. We are looking for experienced data science, machine learning and MLOps practitioners to design, build and deploy impactful predictive marketing solutions that serve a wide range of verticals and clients. The right candidate will enjoy contributing to and learning from a highly talented team and working on a variety of projects.

We are looking for a Senior Data Scientist who will be responsible for:

1. Ownership of design, implementation, and deployment of machine learning algorithms in a modern Python-based cloud architecture
2. Design or enhance ML workflows for data ingestion, model design, model inference and scoring
3. Oversight on team project execution and delivery
4. If senior, establish peer review guidelines for high quality coding to help develop junior team members’ skill set growth, cross-training, and team efficiencies
5. Visualize and publish model performance results and insights to internal and external audiences

Qualifications:

1. Masters in a relevant quantitative, applied field (Statistics, Econometrics, Computer Science, Mathematics, Engineering)
2. Minimum of 3.5 years of work experience in the end-to-end lifecycle of ML model development and deployment into production within a cloud infrastructure (Databricks is highly preferred)
3. Proven ability to manage the output of a small team in a fast-paced environment and to lead by example in the fulfilment of client requests
4. Exhibit deep knowledge of core mathematical principles relating to data science and machine learning (ML Theory + Best Practices, Feature Engineering and Selection, Supervised and Unsupervised ML, A/B Testing, etc.)
5. Proficiency in Python and SQL required; PySpark/Spark experience a plus
6. Ability to conduct a productive peer review and proper code structure in Github
7. Proven experience developing, testing, and deploying various ML algorithms (neural networks, XGBoost, Bayes, and the like)
8. Working knowledge of modern CI/CD methods This position description is intended to describe the duties most frequently performed by an individual in this position.

It is not intended to be a complete list of assigned duties but to describe a position level.

Job Description: Python Developer  

Location: Pune   Employment Type: Full-Time   Experience: 0.6-1+ year 

Role Overview 

We are looking for a skilled Python Developer with 0.6-1+ years of experience to join our team. The ideal candidate should have hands-on experience in Python, REST APIs, Flask, and databases. You will be responsible for designing, developing, and maintaining scalable backend services.  

Key Responsibilities  

• Develop, test, and maintain high-quality Python applications.  
• Design and build RESTful APIs using Flask.  
• Integrate APIs with front-end and third-party services.  
• Work with relational (PostgreSQL, MySQL) and NoSQL databases (MongoDB,  Redis).  
• Optimize performance and troubleshoot issues in backend applications.  
• Collaborate with cross-functional teams to define and implement new features.  
• Follow best practices for code quality, security, and performance optimization.  

Required Skills  

• Strong proficiency in Python (0.6-1+ years).  
• Experience with Flask (or FastAPI/Django).  
• Hands-on experience with REST API development.  
• Proficiency in working with databases (SQL & NoSQL).  
• Familiarity with Git, Docker, and CI/CD pipelines is a plus.  

Preferred Qualifications  

• Bachelor's degree in Computer Science, Engineering, or a related field.  
• Experience working in Agile/Scrum environments.  
• Ability to write clean, scalable, and well-documented code. 

Job Description

We are looking for a talented Java Developer to work in abroad countries. You will be responsible for developing high-quality software solutions, working on both server-side components and integrations, and ensuring optimal performance and scalability.

Preferred Qualifications

• Experience with microservices architecture.
• Knowledge of cloud platforms (AWS, Azure).
• Familiarity with Agile/Scrum methodologies.
• Understanding of front-end technologies (HTML, CSS, JavaScript) is a plus.

Requirment Details

Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience).

Proven experience as a Java Developer or similar role.

Strong knowledge of Java programming language and its frameworks (Spring, Hibernate).

Experience with relational databases (e.g., MySQL, PostgreSQL) and ORM tools.

Familiarity with RESTful APIs and web services.

Understanding of version control systems (e.g., Git).

Solid understanding of object-oriented programming (OOP) principles.

Strong problem-solving skills and attention to detail.