50+ Python Jobs in India

Job Description:

Pre-requisite skills required for a DevOps Engineer role include:

• 3+yrs exp in DevOps
• Experience working on Linux based infrastructure
• knowledge in AWS, docker, CI/CD tools
• Hands on exp in Python/shell scripting language
• hands on exp in AWS and Azure
• Work exp in Docker, Terraform, Ansible, Kubernetes, LINUX
• Excellent understanding of Ruby, Python, Perl, and Java
• Configuration and managing databases such as MySQL, Mongo
• Excellent troubleshooting
• Working knowledge of various tools, open-source technologies, and cloud services

We are hiring for a Senior Data Scientist II

Location: Bengaluru, India | Work Style: Hybrid (2 days/week in office) | Experience: 8+ years

About the Role:

We're on a journey to put AI at the center of how strategic decisions are made, and we're looking for a Senior Data Scientist to help lead the way.

You'll work on real, in-production AI experiences like Planview Anvi, used by enterprises to turn complex portfolios of work into clear, confident action. You'll join a team thinking years ahead about where AI and enterprise work are going, with the ownership to turn that vision into products customers rely on every day.

What You'll Work On:

• Natural language interaction — building systems that let users simply ask, and get instant, trustworthy insights
• Proactive intelligence — developing models that surface risks and opportunities before they surface themselves
• Adaptive decisioning — helping teams adjust course in real time as conditions change

Why This Role:

Most data science roles are about building models. This one is about building the intelligence layer that an entire category of enterprise software is being rebuilt around.

At Planview, we help the world's largest organizations plan and deliver their most important work, and we're in the middle of a multi-year push to put AI at the core of how those decisions get made.

As a Senior Data Scientist based in Bengaluru, you'll be hands-on shaping AI experiences already in production and used by real enterprises — like Planview Anvi — while helping define what comes next.

• Real users, real scale: your work ships to enterprise customers managing billions of dollars of work — not a demo, not a backlog experiment
• Frontier problems: natural-language interfaces over messy enterprise data, models that flag risk before humans see it, and systems that adapt plans as reality shifts
• Ownership, not hand-offs: you'll influence direction, not just execute tickets — senior enough to shape the roadmap, close enough to the product to see your work land
• A team playing the long game: we're building for where enterprise AI is going over the next several years, and want someone who wants to help steer that

Responsibilities:

• Enable Data Science features within Planview applications, working in a fast-paced startup mindset
• Collaborate closely with product management to enable Data Science features that deliver significant value to customers, ensuring these features are also optimized for operational efficiency
• Manage every stage of the AI/ML development lifecycle, from initial concept through deployment in a production environment
• Design and implement optimization models (e.g., resource-constrained scheduling, portfolio/project selection, simulation-based decision support) to solve complex planning and allocation problems at enterprise scale
• Contribute to agentic AI features — forecasting, risk-scoring, and recommendation models that power AI agents embedded in Planview products
• Provide leadership to other Data Scientists by exemplifying exceptional quality in work, nurturing a culture of continuous learning, and offering daily guidance in their research endeavors
• Effectively communicate ideas drawn from complex data with clarity and insight

Required Qualifications:

• Master’s degree in operations research, Statistics, Computer Science, Data Science, or a related field
• 8+ years of experience as a data scientist, data engineer, or ML engineer
• Demonstrable history bringing Data Science features to enterprise applications
• Exceptional Python and SQL coding skills — production-grade, not notebook-only
• Strong grounding in optimization (linear/integer programming, simulated annealing, heuristics, or similar) alongside Machine Learning, Generative AI, NLP, Statistics, and Simulation
• Experience with AWS Data and ML technologies (SageMaker, Glue, Athena, Redshift)
• Experience designing and building tool/service interfaces that other systems (including AI agents) can invoke reliably — API/service contract design, schema definition, and testing discipline
• Working understanding of agentic AI system architecture — how agents discover and call tools, how actions are scoped and tracked, and how outputs feed back into planning workflows.

Preferred Qualifications

• Experience working with datasets in the domain of project management, software development, and resource planning
• Experience with common data science libraries and frameworks (Scikit-learn, TensorFlow, PyTorch)
• Experience with ML platform tools (AWS SageMaker)
• Hands-on experience with MCP (Model Context Protocol) or similar tool-calling/agent-orchestration standards (e.g., A2A, LangChain tool interfaces)
• Experience with LLM orchestration frameworks (LangChain, LlamaIndex) and vector database experience (Pinecone, Weaviate, OpenSearch)
• Exposure to evaluation frameworks for GenAI features
• Prior experience mentoring or leading data scientists
• Comfortable working as part of a global, diverse workforce of high-performing individuals
• AWS Certification is a plus

Team & Culture:

You'll join a global, distributed Data Science team spanning Bengaluru and Austin. We move fast, ship real AI to real enterprise users, and go all-in on agentic systems — without taking ourselves too seriously. Startup speed, prototype-to-production mindset, and a genuine focus on having fun while we build.

Growth:

This role offers a clear path to grow into a Principal Data Scientist as you take on greater scope and impact.

Interview Process:



Our process typically includes an initial conversation to assess fit, a technical assessment, one or more in-depth technical/case discussions, and final conversations with cross-functional stakeholders. 

Are you a Python-savvy developer with experience & portfolio of working on python, AI, ML projects looking to work on innovative projects? Look no further! SJTech Solutions is seeking an ambitious and talented candidate to join our dynamic team. 

Key responsibilities:

1. Develop and implement AI models using Python, Machine Learning, Data Science, and Deep Learning techniques.

2. Working on deep learning and machine learning algorithms

3. Working on automation scripts

4. Working on supervised and unsupervised learning algorithms

5. Stay up-to-date with the latest advancements in AI technology and trends.

If you are passionate about AI and eager to work and grow in a fast-paced environment, we want to hear from you! Apply now!

Roles & Responsibilities

• Lead AI Product Pods across Credit Risk, Fraud, and Collections functions.
• Build and deploy production-scale Machine Learning systems for lending lifecycle decisioning.
• Own complete ML lifecycle including feature engineering, model training, evaluation, deployment, monitoring, and continuous improvement.
• Design scalable distributed ML infrastructure, feature stores, model registries, and MLOps pipelines.
• Develop AI solutions for underwriting, portfolio risk monitoring, fraud detection, anomaly detection, and recovery optimization.
• Drive model governance, monitoring, explainability, and compliance within BFSI regulatory standards.
• Collaborate with Product, Risk, Engineering, Data, and Business teams to deliver AI-driven business outcomes.
• Define AI platform architecture, operational excellence, SLAs, and incident management practices.
• Build, mentor, and scale high-performing AI Engineering and Data Science teams.

Ideal Candidate

1.Strong Lead Data Science, / AI Engineer / Machine Learning Engineer profiles.

2.Mandatory (Experience 1) - Must have 10+ years of experience in Data Science, AI/ML or AI Engineering with hands-on experience building production-grade ML systems.

3.Mandatory (Experience 2) - Must have hands-on experience building AI/ML solutions for Credit Risk, Fraud Risk Management (FRM), Collections & Recovery, with proven delivery of business-impacting AI/ML solutions.

4.Mandatory (Experience 3) - Candidate's Current designation must be Lead or above.

5.Mandatory (Experience 4) - Must have strong experience designing and deploying large-scale distributed Machine Learning systems, including model training, fine-tuning, inference, scalable serving, and production deployment.

6.Mandatory (Experience 5) - Strong programming experience in Python, along with exposure to Spark, Kafka, Kubernetes, APIs/Microservices, CI/CD, Feature Store, Model Registry, and Distributed Computing

7.Mandatory (Experience 6) - Experience designing and deploying Credit Risk Models, Fraud Detection Models, Graph ML, Early Warning Systems, Portfolio Monitoring, Collections Optimization, Propensity Models, and Recovery Forecasting.

8.Mandatory (Experience 7) - Proven experience leading AI/ML teams, owning end-to-end delivery, mentoring engineers, driving cross-functional execution, and managing production AI platforms.

9.Mandatory (Experience 8) – Must have experience working under BFSI governance, including PII handling, auditability, model governance, compliance, secure-by-design architecture, approval workflows, and model risk management practices.

10.Mandatory ( Education ) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered

11.Mandatory (Age) - Candidate's Age should be below 37 years.

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

13.Preferred (Experience 1) - Candidates currently working as Lead / Principal / Engineering Manager / Associate Director / Director in reputed Product, FinTech, Banking, NBFC, or Global Capability Centers will be preferred.

14.Preferred (Experience 2) - Indian professionals currently working overseas (NRI) who are planning to relocate and permanently settle in India are encouraged to apply.

15.Preferred (Experience 4) - Experience building enterprise AI platforms using Graph ML, Vector Databases, LLM-enabled decisioning, distributed training frameworks, and large-scale AI infrastructure.

We are seeking a Senior Android DevOps Engineer with 4+ years of specialized experience in mobile engineering pipelines. In this role, you will own, scale, and optimize our Android continuous integration and deployment (CI/CD) infrastructure. You will work closely with mobile development and QA teams to accelerate release cycles, ensure tight build security, and automate the journey from local code commit to the Google Play Store.

Key Responsibilities

1. ● Own CI/CD Infrastructure: Build, maintain, and scale robust mobile-specific CI/CD pipelines using platforms like Bitrise, GitHub Actions, or GitLab CI.
2. ● Automate Release Workflows: Design and implement end-to-end automation for Android builds (APK/AAB), test execution, and deployment using Fastlane and Gradle.
3. ● Manage Store Deployment: Oversee and automate app distribution via the Google Play Console, managing internal, closed testing, and production rollouts.
4. ● Secure Code Signing: Maintain the integrity of Android keystores, API keys, and certificates using secure secrets management tools.
5. ● Optimize Build Performance: Monitor and actively reduce build times, resolve dependency caching issues, and ensure infrastructure cost efficiency.
6. ● Quality & Observability Integration: Embed automated UI/unit testing (Espresso, Appium) and crash/performance tracking tools (Firebase Crashlytics, Sentry) directly into the pipeline.

Required Skills & Qualifications

1. ● Experience: 4+ years of dedicated experience in Mobile DevOps, Release Engineering, or Android Development with a heavy focus on infrastructure.
2. ● Build Systems: Deep, hands-on expertise with Gradle, ProGuard/R8, and the Android SDK.
3. ● Automation Tools: Advanced proficiency with Fastlane and scripting languages like Bash, Python, or Groovy.
4. ● Version Control: Solid understanding of version control best practices and Git branching strategies (e.g., Gitflow, Trunk-based development).
5. ● Problem Solving: Ability to diagnose and resolve build/environment issues independently.
6. ● Cloud & Containers: Solid understanding of Docker, cloud runners (AWS/GCP), and infrastructure as code.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

• Master’s degree or PhD in Computer Science or a related field with a focus on Artificial Intelligence (AI) or Machine Learning (ML).
• 7 years of software experience designing and deploying large-scale AI/ML applications and complex models.
• Experience with MLOps, establishing best practices for production model monitoring, maintenance, and lifecycle management.
• Experience leading and mentoring engineers, and translating complex business objectives into scalable AI-driven roadmaps.
• Experience architecting scalable data pipelines using BigQuery, Beam, or Dataflow, and deploying models on Google Cloud Platform.
• Understanding of Python and frameworks like TensorFlow, JAX, and Scikit-learn, with deep statistical modeling knowledge.

About the job

The People Operations Engineering team is dedicated to building innovative and scalable technology solutions that empower a global workforce. Leveraging the power of data, AI, and machine learning, the team optimizes HR processes, enhances employee experiences, and drives organizational efficiency. Joining this team offers the opportunity to lead the application of AI to solve complex, real-world business challenges.

We are seeking a highly experienced and results-oriented Senior AI Software Engineer to join the Human Resources Engineering (HRE) team in Hyderabad.

In this role, you will serve as a technical leader, driving the design, development, and deployment of sophisticated AI-powered solutions that significantly impact employees across the organization. You will work on large-scale infrastructure, mentor a talented team of engineers, collaborate with cross-functional stakeholders, and help shape the future of HR through innovative AI applications. You will be responsible for translating complex business challenges and strategic objectives into scalable, efficient AI/ML systems.

As part of the Corporate Engineering organization, you will build world-class business solutions that support a global enterprise. The team delivers end-to-end platforms, tools, and experiences that enable employees to work more effectively and drive innovation across the organization.

Responsibilities

• Lead the technical design and architecture of complex, scalable AI/ML systems and infrastructure within the HR engineering domain, ensuring high reliability, performance, and long-term sustainability.
• Drive the development of advanced AI/ML algorithms for HR applications such as talent acquisition and employee engagement using Python and frameworks like TensorFlow and JAX.
• Architect large-scale data pipelines for data ingestion, cleaning, and feature engineering using modern data processing frameworks (e.g., Beam, Dataflow), while leading root cause analysis and system troubleshooting.
• Own the end-to-end MLOps lifecycle, including model deployment, monitoring, optimization, and maintenance, while establishing best practices for software development and code quality.
• Collaborate with cross-functional stakeholders to translate business needs into scalable AI/ML solutions, mentor engineers, and drive the adoption of emerging AI technologies across the organization.

Role Summary

We are seeking a skilled GenAI & Agentic AI Engineer with strong experience in building end‑to‑end AI/ML solutions, Generative AI applications, and agent‑based automation workflows. The ideal candidate will have a solid background in machine learning along with hands‑on expertise in LLMs, RAG, embeddings, vector databases, and Agentic AI frameworks such as CrewAI, AutoGen, LangGraph, or LangChain Agents.

Key Responsibilities

• Build and deploy GenAI applications using LLMs (OpenAI, Azure OpenAI, Claude, Gemini, Llama, etc.).
• Develop Agentic AI workflows using frameworks such as CrewAI, AutoGen, LangGraph, or LangChain Agents.
• Design and implement RAG pipelines, vector search solutions, and embedding‑based retrieval systems.
• Build scalable AI services using Python, FastAPI/Flask, and cloud platforms (Azure/AWS/GCP).
• Collaborate with cross‑functional teams to define use cases and convert them into production‑ready GenAI solutions.
• Implement hallucination reduction, prompt‑engineering strategies, and model evaluation methods.
• Integrate LLMs with enterprise applications, APIs, and automation workflows.
• Work with vector databases (FAISS, Pinecone, Chroma, Weaviate) for semantic search.
• Monitor, evaluate, and optimize GenAI models for accuracy, performance, and cost.

Required Skills & Experience

• 5+ years of experience in AI/ML, including model development, data preprocessing, EDA, training, and evaluation.
• 2+ years of hands‑on experience in Generative AI (LLMs, embeddings, RAG, LLM‑based apps).
• 6+ months of hands‑on experience with Agentic AI frameworks (CrewAI / AutoGen / LangGraph / LangChain Agents).
• Strong proficiency in Python and ML libraries (Scikit‑learn, Pandas, NumPy).
• Experience with OpenAI APIs, Azure OpenAI, HuggingFace, and prompt engineering.
• Familiarity with building scalable APIs using FastAPI, Flask, or Django.
• Hands‑on knowledge of cloud services (Azure/AWS/GCP) for AI deployment.
• Strong understanding of REST APIs, microservices, and integration patterns.
• Experience with Git, CI/CD, Docker, and model deployment best practices.

About the Role

We're looking for a Backend Software Engineer to join our engineering team.

What You'll Do

• Design, develop, and maintain backend services and APIs for Vinterra's video

intelligence platform

• Build and maintain CI/CD pipelines, and follow good code practices (code reviews,

testing, documentation)

• Work with AWS (or GCP) cloud infrastructure, including services like Lambda, API

Gateway, S3, Event Bridge, Cognito, RDS etc.

• Collaborate closely with a small, cross-functional team — product, frontend, and design

— to ship features quickly

• Participate in architecture and design discussions, and help evolve our backend systems

as we scale

• Take ownership of features end-to-end, from design through deployment and monitoring

What We're Looking For

Must-haves

• 2+ years of experience in backend software engineering

• Proficiency in at least one of Go, Python, or C++, with the flexibility and interest to work

across stacks/languages as needed

• Hands-on experience with a cloud provider (AWS preferred, GCP also fine), including

working knowledge of serverless services

• Experience with database solutions — relational and/or NoSQL (Postgres, DynamoDB

preferably)

• Experience building and maintaining CI/CD pipelines

• Familiarity with observability tools such as Grafana/Prometheus or the

ELK/OpenTelemetry stack

• Strong grasp of good coding practices: testing, code reviews, version control and API

design

• Familiarity with containerization tools (Docker; Kubernetes a plus)

• Familiarity with infrastructure-as-code tools (Terraform, CloudFormation, Pulumi)

Nice-to-haves

• Exposure to event-driven/message-queue architectures (SQS/SNS, RabbitMQ)

• Understanding of system design principles for scalability and reliability

• Prior experience at an early-stage or high-growth startup is valued

About the Role:

We are looking for a hands-on Senior Backend Engineer who can own complex product and platform problems end-to-end. You will work across AI agents, workflow orchestration, enterprise integrations, and distributed systems that operate reliably in real-world IT environments.

This role requires strong engineering judgment, product thinking, and the ability to transform ambiguous requirements into scalable, production-ready systems.

Key Responsibilities

• Build the core platform powering agentic IT operations.
• Design reliable multi-step workflows with retries, approvals, rollback mechanisms, and recovery.
• Develop AI pipelines for intent understanding, planning, validation, and execution.
• Build integrations with Microsoft 365, PSA, RMM, and other IT management platforms.
• Design secure, scalable multi-tenant enterprise systems.
• Improve production observability, monitoring, and reliability.
• Own major features from architecture and development through deployment and production support.
• Mentor engineers and contribute to raising the technical standards of the team.

Required Skills & Experience

• 8+ years of experience building backend platforms, distributed systems, or enterprise applications.
• Strong software engineering fundamentals and system design expertise.
• Experience building REST APIs, asynchronous/event-driven systems, databases, and cloud-native applications.
• Strong problem-solving skills with the ability to independently drive solutions in ambiguous environments.
• Excellent debugging, production engineering, and ownership mindset.
• Comfortable using AI coding assistants while independently validating code quality and correctness.

Preferred Technical Stack

Languages & Frameworks

• TypeScript
• Node.js
• Python

Databases & Messaging

• PostgreSQL
• Redis
• Message Queues
• Event-driven architectures

Cloud & Infrastructure

• AWS
• Docker
• Terraform

Enterprise Integrations

• Microsoft Graph API
• Microsoft 365
• OAuth
• Webhooks
• PSA/RMM platforms

AI & Workflow Technologies

• Workflow engines
• State machines
• LLM Agents
• Retrieval-Augmented Generation (RAG)
• AI evaluation frameworks

What We're Looking For

• Strong backend engineering expertise with experience building scalable production systems.
• Deep understanding of distributed systems and platform architecture.
• Ability to own features from design through production.
• Product mindset with strong engineering ownership.
• Excellent collaboration and mentoring skills.

Why Join Neels AI?

• Build the operating layer for the next generation of IT services.
• Work on AI systems that take real-world actions—not just generate text.
• Solve challenging problems across AI, infrastructure, security, and enterprise automation.
• Join at an early stage and influence product direction, architecture, and engineering culture.
• Work directly with experienced founders and global enterprise customers.

3–6 years of experience in Data Engineering or Cloud Data Development.

Key Skills • Snowflake (Data Warehouse Design, ELT, Performance Tuning) • DBT • Apache Airflow • GitHub • SQL & Python • GCP (BigQuery, Cloud Storage, Dataflow) • Data Modeling (Dimensional Modeling, Star Schema, Normalization) 

Job Description – Lead Data Engineer (AWS + Big Data)

Location: Pune - Hybrid

Experience: 8+ Years

Role Overview

We are looking for a Lead Data Engineer with strong hands-on expertise in AWS-based Big Data platforms. The ideal candidate should have extensive implementation experience in designing and building scalable data pipelines, mentoring engineering teams, and driving technical delivery. Databricks exposure is mandatory, while deep implementation experience in Databricks is not essential. Candidates with HBase experience will be preferred.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT solutions on AWS.
• Build and optimize Big Data applications using Spark/PySpark, HBase, Hive, Kafka, and related technologies.
• Work with AWS services such as S3, Glue, Lambda, IAM, and CloudWatch for cloud-native data engineering.
• Lead technical implementation, mentor engineers, conduct code reviews, and drive engineering best practices.
• Ensure data quality, performance optimization, CI/CD adoption, and production support.

Required Skills

• Strong hands-on experience with AWS (S3, Glue, Lambda, IAM, CloudWatch)
• Apache Spark (PySpark/Scala) and Big Data ecosystem
• Databricks exposure (mandatory)
• HBase (strongly preferred)
• Python or Java, Advanced SQL
• ETL/ELT development and Data Warehousing concepts
• Apache Airflow or similar orchestration tools
• Git, CI/CD, Performance Tuning, and Data Quality

Good to Have

• Kafka / Spark Structured Streaming
• Hive, Impala, Hadoop ecosystem
• Delta Lake / Lakehouse concepts
• Snowflake or other modern cloud data platforms

Experience Required

• 8–14 years of Data Engineering experience with strong AWS implementation expertise.
• Proven experience leading technical delivery and mentoring engineering teams.
• Strong understanding of enterprise-scale data platforms and Big Data architectures.
• Ability to collaborate with architects, stakeholders, and cross-functional teams to deliver scalable solutions.

NOTE: Final Technical round is mandatory to be taken F2F from Pune, office.

Job Role- Sr. Backend Developer (Python –Django)

Work Experience – 3-5years Roles and Responsibilities

• Understanding product requirements and convert to code

• Resolving bugs

• Stay on top of the product to ensure performance and scalability

• Ensure code quality and maintainability by following best practices and coding standards.

• Understand and keep the technical documentation up-to-date

• Implement RESTful APIs and integrate with front-end components and third-party services

• System architecture and design skills

Mandatory Experience:

• 3+ years of experience in REST API development with any Python based frameworks (Django, Django REST framework (DRF).

• 3+ years of experience in web development with Python

• 3+ years of experience with MySQL, PSQL

• 3+ years of experience with Git

• 3+ years of database programming experience (Postgres, SQL, ability to write complex queries)

• 3+ years of experience with Agile development cycle Good to have

• Contribution in any open-source projects

• Experience or understanding with DevOps

• Experience with agile development methodologies like Scrum

• API design & creation (e.g. OpenAPI)

• Experience in Test Driven Development

• Experience working in a product-based company Behavioral Skills

• Incessant problem solver

• Driven and eager to learn

• Optimistic and open to receiving feedback

• Highly organized and able to multitask

• Self –Starter to help with the design and programming of web applications. ∙

• Superior analytical and problem-solving skills

• Outstanding written and verbal communication skills

• Able to work in fast pace continuously evolving environment and ready to take up uphill challenges

• Able to understand cross cultural differences and can work with clients across geographies

Who are we :

Trendlyne is a funded, profitable products startup in the financial markets space. We have cutting-edge analytics products built for Indian and US customers, for stock markets and mutual funds.

Our founders are IIT + IIM graduates, with strong tech and marketing experience. We have top finance and management experts on the Board of Directors.

What do we do :

We build powerful analytics in the US and Indian stock market space that are best in class. Organic growth in B2B and B2C products has already made the company profitable. We deliver 1 billion+ APIs every month to B2B customers, and have a B2C website and app.

Tech Stack :

• Python (Django / Flask / FastAPI)
• PostgreSQL / MySQL
• Redis / caching systems
• REST APIs

Job Responsibilities :

• Develop and maintain scalable, robust backend systems using Python frameworks.
• Work closely with product managers and other cross-functional teams to help define, scope, and deliver world-class products and high-quality features addressing key user needs.
• Translate requirements into system architecture and implement code while considering performance issues of dealing with billions of rows of data and serving millions of API requests every hour.
• Ability to take full ownership of the software development lifecycle from requirement to release.
• Writing and maintaining clear technical documentation enabling other engineers to step in and deliver efficiently.
• Embrace design and code reviews to deliver quality code.
• Play a key role in taking Trendlyne to the next level as a world-class engineering team.
• Develop and iterate on best practices for the development team, ensuring adherence through code reviews.
• As part of the core team, you will be working on cutting-edge technologies like AI products, online backtesting, data visualization, and machine learning.
• Proficient understanding of the performance of web and mobile applications.

Job Requirements :

• 1+ years of experience with Python and Django / Flask / FastAPI.
• Good knowledge of APIs, databases, and system performance.
• Strong understanding of relational databases like PostgreSQL or MySQL and Redis.
• Ownership mindset: you build it, ship it, and take responsibility for it in production.
• Strong communication skills: ability to articulate technical decisions clearly to both engineers and non-technical stakeholders.
• Bonus: Familiarity with JavaScript, HTML, or CSS is a plus but not required.

Job description:

Interview Venue: H-28, ARV Park, Sector 63, Noida, Uttar Pradesh 201301

Job location: Noida

Experience: 1-3 years

Education: B.Tech or MCA

The procedure for the interview will be as follows:

• 1st Round - Machine Round
• 2nd Round- Communication Round
• 3rd Round – Technical Round
• 4th Round - HR Round

Job Description:

• Profile: Odoo Developer
• Experience: 2-5 yrs
• Qualification : B.Tech/MCA
• Working Days: 5
• Job Nature: Permanent

Job Description :

• Identifying the requirement and proposing a good alternative solution to the client's requirements.
• Design and develop Odoo apps(new module development, customization).
• Consistently create quality software that meets specific design and requirements on stated timelines.
• Enhance applications, and develop and configure features and functionalities that support business requirements.
• Be involved in the Odoo project and community

Required Skills :

• Knowledge of Python programming and SQL language.
• JavaScript development is a plus.
• Odoo framework knowledge.
• Experience working on Linux systems is a plus.
• Knowledge of the Software Development Life Cycle in an Agile environment, quality assurance, and software testing.
• Good communication in English.
• Passion for software design and development.
• Contribution to Open Source Projects.

Perks&Benefits:

• Employees & Family Health Insurance, EPF & ESIC.
• Free late-night meal facility.
• Innumerable in house & outdoor party.
• Various compensations & bonuses.
• No dress Code.
• Festival Celebration.
• Employees' B'day celebration.

Benefits:

• Flexible schedule
• Health insurance
• Leave encashment
• Paid sick time
• Provident Fund

Software Engineer – AI/ML to build next-generation AI solutions for the Higher Education domain. You will work on LLM-powered applications, AI Agents, RAG systems, and intelligent automation for our enterprise SaaS platform.

Required Skills

• Strong Python programming and software engineering skills
• Hands-on experience with LLMs (GPT, Claude, Gemini, Llama, Mistral, DeepSeek)
• Experience with LangChain, LlamaIndex, AI Agents, and RAG
• Knowledge of PyTorch/TensorFlow and Hugging Face
• Experience with FastAPI, REST APIs, and Microservices
• Hands-on experience with Vector Databases (Pinecone, Qdrant, ChromaDB, pgvector)
• Experience with AWS (Bedrock, SageMaker, EC2, Lambda, S3)
• Docker & Kubernetes
• Strong understanding of System Design and scalable AI applications

Preferred Skills

• Agentic AI & MCP (Model Context Protocol)
• Prompt Engineering & Fine-tuning
• Enterprise AI application development
• Experience in EdTech or SaaS products

What You'll Build

• AI Agents and intelligent workflows
• RAG-based enterprise search solutions
• LLM-powered applications
• Scalable AI APIs and microservices
• AI features for enterprise SaaS products

If you're passionate about building production-grade AI systems and working with the latest Generative AI technologies, we'd love to hear from you.

Python Machine Learning Engineer / Data Scientist (GCP)

Experience: Typically 6–10 Years (based on JD complexity)

Primary Skills: Python, Machine Learning, Data Analysis, Google Cloud Platform (GCP)

Must-Have Skills (ON)

• Python
• Machine Learning
• Data Analysis
• Exploratory Data Analysis (EDA)
• Google Cloud Platform (GCP)
• BigQuery
• Vertex AI
• Cloud Storage
• Cloud Functions
• Pandas
• NumPy
• Scikit-Learn
• TensorFlow OR PyTorch
• Statistical Analysis
• Predictive Modeling
• Business Stakeholder Management
• Requirement Gathering
• Root Cause Analysis
• Data-Driven Decision Making

Role: Data Science with GCP

Locations: Chennai

Employment Type: Full Time with NAM Info Pvt Ltd (Payroll)

Job Summary:

The ideal candidate should have strong expertise in Python| Machine Learning| Data Analysis| and Google Cloud Platform (GCP). This role requires close collaboration with business stakeholders to understand business challenges| translate requirements into actionable business cases| identify opportunities for improvement| and develop data-driven solutions that deliver measurable business value.

Responsibilities:

• Business & Stakeholder Management
• Engage with business stakeholders to understand business problems| goals| and requirements.
• Translate business requirements into clear analytical and machine learning use cases.
• Formulate business cases and define success metrics for proposed solutions.
• Collaborate with cross-functional teams including Product| Engineering| Operations| and Business teams.
• Data Analysis & Problem Identification
• Analyze existing applications| systems| and business processes to identify inefficiencies and improvement opportunities.
• Perform root cause analysis on business and operational challenges.
• Conduct exploratory data analysis (EDA) to discover trends| patterns| and anomalies.
• Generate actionable insights that support strategic business decisions.
• Machine Learning & Advanced AnalyticsDesign| develop| train| and deploy Machine Learning models.
• Implement predictive| classification| recommendation| forecasting| and anomaly detection solutions.
• Data Engineering & CloudWork with structured and unstructured datasets from multiple sources.
• Utilize GCP services such as:
• BigQuery
• Vertex
• AICloud Storage Cloud Functions

Technical Skills

• Strong proficiency in Python.
• Hands-on experience with: Pandas NumPyScikit-Learn TensorFlow/PyTorch, Matplotlib, Seaborn
• Strong understanding of: Machine Learning algorithms, Statistical analysis, Predictive modelling
• Hands-on experience with Google Cloud Platform (GCP).
• Knowledge of data visualization tools such as: Power BI/Tableau

Job Title : Data Platform Engineer (SDE 2 / SDE 3)

Experience : 3 to 8 Years (SDE2 : 3 to 5 Years | SDE3 : 5.5 to 8 Years)

Location : Remote (Contract) → Pune (Post Conversion)

Employment Type : Contract-to-Hire (3 Months)

Mandatory Skills :

Java / Python / Go, SQL, Data Engineering, ETL / ELT, Apache Airflow, Apache Spark / Flink, Kafka, AWS/GCP/Azure, Distributed Systems, API Development, Docker, Kubernetes, CI/CD, System Design

Role Overview :

We are looking for a Data Platform Engineer with strong backend engineering expertise to build scalable, high-performance data platforms and distributed systems. The ideal candidate should have hands-on experience in developing production-grade backend applications along with designing and maintaining modern data pipelines.

Key Responsibilities :

• Build and maintain scalable ETL/ELT and data processing pipelines.
• Develop backend services and APIs using Java (preferred), Python, or Go.
• Design batch and real-time data pipelines using Spark, Flink, Kafka, and Airflow.
• Optimize SQL queries, data models, and distributed data systems.
• Work with cloud platforms (AWS, GCP, or Azure) and container technologies (Docker, Kubernetes).
• Implement CI/CD, monitoring, logging, and performance optimization.
• Collaborate with product and engineering teams on scalable system design and architecture.

Required Qualifications :

• SDE 2 : 3 to 5 years of Backend + Data Engineering experience.
• SDE 3 : 5.5 to 8 years of Backend + Data Engineering experience.
• Strong coding skills in Java (preferred), Python, or Go.
• Excellent SQL and data modeling knowledge.
• Hands-on experience with Airflow, Apache Spark / Apache Flink, or similar technologies.
• Experience building scalable backend services and APIs.
• Good understanding of distributed systems, system design. and scalable architecture.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Hands-on experience with Docker and Kubernetes.
• Strong understanding of CI/CD pipelines.
• Excellent problem-solving and debugging skills.

Good to Have :

• Experience with Snowflake, BigQuery, or Redshift.
• Understanding of Kafka, Kinesis, or Pub/Sub
• Performance optimization of large-scale distributed systems
• FinTech or high-scale distributed systems experience.
• Knowledge of data governance, security, and compliance.

Preferred Candidate Profile :

• Strong Backend + Data Engineering experience
• Experience building scalable production systems
• Strong ownership mindset
• Good system design knowledge
• Experience processing millions of events using Kafka/Spark
• Built APIs supporting data infrastructure
• Production engineering experience

Interview Process :

1. Take-home Coding Assignment (48 Hours)
2. Leadership & Strategy Round (1 Hour)
3. Technical Depth – Data Engineering & Performance (1 Hour)
4. Culture & Values Fit (30 Minutes)

Company Description

We are seeking a QA Engineer to join our engineering team and support the validation of AI-assisted software testing. In this role, you will work closely with senior engineers to evaluate AI-generated test scenarios, validate outcomes, identify inconsistencies, and provide structured feedback that improves product quality and AI model performance.

This is an excellent opportunity for professionals who are detail-oriented, analytical, and interested in working at the intersection of Quality Assurance and Artificial Intelligence.

Job Description

• Execute AI-generated test scenarios against historical job packages and validate expected outcomes.
• Perform manual verification of AI-generated results to determine whether test scenarios have passed or failed.
• Review AI-generated evidence and identify false positives, false negatives, inconsistencies, or missing validations.
• Document defects, observations, and actionable feedback for engineering and product development teams.
• Collaborate with senior QA engineers and software developers to improve product quality and AI testing capabilities.
• Re-test resolved issues and verify fixes as new builds become available.
• Maintain detailed testing documentation and ensure traceability of validation results.
• Participate in QA reviews and continuously contribute to improving AI-assisted testing processes.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
• 5–8 years of experience in Software Quality Assurance, Manual Testing, or QA Analysis.
• Strong attention to detail with excellent analytical and problem-solving skills.
• Ability to interpret test results and identify discrepancies.
• Experience documenting defects and working with engineering teams to resolve issues.
• Good written and verbal communication skills.
• Familiarity with software testing methodologies and defect lifecycle management.
• Exposure to Agile development environments is preferred.
• Experience with AI-assisted testing or automation tools is an added advantage but not mandatory.

Founding Engineer – Full Stack

Shava Studios | Remote – India

About the Role

Shava Studios is hiring a Founding Engineer to build and scale AI-native software products from the ground up.

You’ll work across the full stack—frontend, backend, AI integrations, and real-time systems—while playing a key role in shaping our architecture and engineering culture. We value demonstrated ability, strong fundamentals, and ownership over years of experience.

What You’ll Do

• Build and ship full-stack features end-to-end.
• Design scalable APIs, backend services, and data models.
• Build and integrate LLM and AI-agent capabilities.
• Develop reliable real-time and asynchronous systems.
• Own third-party integrations, authentication, security, and performance.
• Maintain high standards for testing, code quality, and system reliability.
• Contribute to architecture decisions and technical direction.
• Mentor engineers and help raise the engineering bar as the team grows.

What We’re Looking For

• Strong experience building production-grade full-stack applications.
• Hands-on experience with React/Next.js, TypeScript, and Python/FastAPI or similar technologies.
• Strong understanding of system design, APIs, databases, and scalable backend systems.
• Experience with or strong interest in LLMs, GenAI, and AI-agent systems.
• Familiarity with real-time or asynchronous systems such as WebSockets, Redis, Celery, or RabbitMQ is a plus.
• Strong ownership mindset with the ability to independently take features from idea to production.
• Good technical communication and problem-solving skills.

Why Join?

You’ll join at an early stage with significant influence over the product, architecture, and engineering culture. This is an opportunity to build AI-native products from the ground up, take real technical ownership, and grow toward Staff-level engineering leadership.

Job Description – Backend Python Developer 

We are looking for a talented and motivated Python Developer to join our development team. The ideal candidate will be responsible for writing scalable and efficient backend applications, developing APIs, and collaborating with cross-functional teams to deliver high-quality software solutions. 

Key Responsibilities 

* Develop, test, and maintain scalable Python applications and backend services. 

* Design and implement RESTful APIs and integrate third-party services. 

* Collaborate with frontend developers, designers, and project managers. 

* Write clean, reusable, and efficient code following best practices. 

* Debug, troubleshoot, and optimize application performance. 

* Work with databases and ensure data security and integrity. 

* Participate in code reviews and software development lifecycle activities. 

Required Skills & Qualifications 

* Bachelor’s degree in Computer Science, Information Technology, or related field. 

* Proven experience as a Python Developer or Software Developer. 

* Strong knowledge of Python frameworks such as Django, Flask, or FastAPI. 

* Experience with REST APIs, JSON, and microservices architecture. 

* Familiarity with SQL and NoSQL databases such as MySQL, PostgreSQL, or MongoDB. 

* Knowledge of version control systems such as Git. 

* Understanding of cloud platforms and deployment processes is a plus. 

* Strong analytical and problem-solving skills. 

Preferred Qualifications 

* Experience with Docker, Kubernetes, or CI/CD pipelines. 

* Knowledge of frontend technologies such as React.js or Angular. 

* Understanding of Agile/Scrum methodologies. 

* Portfolio or GitHub projects showcasing Python development expertise.

Must-Have Skills

• Minimum 3 years of experience in Data Engineering / Analytics Engineering / Fintech Data roles
• Must have worked on SMS Parsing, intelligent platform, converting RAW customer SMS data into structured actionable financial signals and enabling downstream usage of SMS derived variables
• Must have established a continuous learning cycle to expand parser coverage
• Experience in Lending / NBFC / Fintech domain
• Experience working with Bureau, SMS, Device, or Banking data
• Strong Python and SQL (production level)
• Experience handling unstructured data (SMS, logs, JSON, APIs)
• Experience building data pipelines, schedulers, and cron jobs
• Strong database design and data modelling skills
• Ability to work in a startup environment with high ownership
• Familiarity with modern platforms like AWS, Snowflake, Google BigQuery, Redshift

Good to Have

• Experience in STPL, especially less than 25K ticket size
• Experience with streaming (Kafka/Kinesis) and orchestration (Airflow or Step Functions)
• Experience with feature stores and risk analytics datasets
• Knowledge of regex, NLP basics for SMS parsing
• Experience supporting real-time decision engines/underwriting systems

Role Summary

This role will be responsible for owning the end-to-end data-structuring layer across the organisation. The individual will transform large volumes of raw, unstructured, and semi-structured data (such as SMS, device, bureau, and app data) into clean, standardised, and analysis-ready datasets. These structured datasets will directly power risk analytics, fraud detection, marketing insights, collections strategy, and policy decisioning.

Key Objective of the Role

Ensure all raw lending data (SMS, Bureau, Device, AA, App logs) is captured, parsed, structured, and stored in a clean analytics-ready format inside databases (PostgreSQL, DynamoDB, AWS stack) so that the Risk and Data Science team can directly use it for feature creation, policy building, and portfolio monitoring.

Core Responsibilities

1. End-to-End Data Ownership

• Design, build, and maintain end-to-end data pipelines (batch + streaming) using AWS native services (Glue, Lambda, Step Functions, Kinesis, S3, Athena, Redshift, EMR/Spark, etc.): ingestion

→ parsing → structuring → storage

• Work closely with Tech, Product, and Data Science to define what data should be captured
• Maintain data documentation, data dictionaries, and schema governance
• Ensure data quality, consistency, and version control

1. Unstructured Data Processing (Highest Priority)

• Parse raw SMS dumps and categorise into salary, EMI, loan apps, collections, credits, debits, OTP, etc.
• Process device fingerprint, behavioural logs, and vendor data (FinBox, AA, Bureau APIs)
• 
  
• 
  
• Convert JSON, logs, and raw API responses into structured feature tables
• Build regex/keyword-based parsers for financial SMS classification

1. Feature Implementation (From Risk & Data Science Team)

• Implement feature creation logic provided by Risk/Data Science team
• Translate business and policy logic into SQL/Python pipelines
• Create reusable feature layers for underwriting, fraud, collections, and monitoring
• Maintain a feature store for consistent model and policy usage

1. Lending Data Understanding (Domain-Specific Requirement)

• Work with Bureau data
• Structure SMS-derived financial variables (income, stress, EMI signals)
• Work with Account Aggregator and bank transaction datasets
• Understand fintech alternate data used in underwriting and fraud detection

1. Data Pipelines & Automation

• Build and maintain ETL/ELT pipelines using Python & SQL
• Create cron jobs for automated data ingestion and feature refresh
• Automate vendor data pulls (Bureau, SMS SDK, AA, device data)
• Ensure low-latency pipelines for real-time underwriting use cases

1. Database Structuring & Storage Architecture

• Structure clean datasets in PostgreSQL (analytics layer)
• Manage raw data storage in DynamoDB / S3 data lake
• Design normalized and denormalised tables for risk analytics
• Optimise database performance for large-scale query workloads

1. Dashboards & Readable Data Layer

• Create analytics-ready datasets, implement & write Metabase queries and convert into dashboards (Metabase / Power BI)
• Enable self-serve data access for Risk, Business, and Founders
• Support ad-hoc analysis requirements from leadership

1. Cross-Functional Collaboration (Very Important)

• The role requires close collaboration with data science, tech, product, and business teams to ensure reliable data pipelines, well-defined schemas, API integrations, logging architecture and high data quality, enabling faster and more accurate decision-making across lending workflows.

Tech Stack (Current Environment)

• AWS Services
• PostgreSQL (Primary analytics DB)
• DynamoDB (Raw/NoSQL storage)
• Python (Pandas, NumPy, ETL frameworks)
• Advanced SQL
• APIs, JSON, and Log Data Handling

Role Title:- Mid-Level Python Developer

 Location - Bangalore

 Employment Type -Full-time (Work from Office)

Experience Required - 3 to 7 years

Notice Period Preference - Open to all candidates, but shorter notice period candidates will be preferred.

About the Role

We are looking for a strong Mid-Level Python Developer to join our backend engineering team in Bangalore. The role is focused on building, maintaining, and improving backend systems for fintech products in the Indian capital markets domain, specifically around PMS, AIF, portfolio operations, order management, reporting, and client-facing enterprise workflows.

The ideal candidate should have hands-on experience in building APIs, working with relational databases, writing clean and maintainable Python code, and solving practical backend engineering problems. This is a backend-first role. Frontend or Angular exposure is preferred but not mandatory.

The candidate should be capable of independently owning backend modules, collaborating with product and frontend teams, mentoring junior developers, and eventually growing into a team lead role.

Key Responsibilities

- Design, develop, and maintain backend APIs using Python and FastAPI.

- Build reliable, scalable, and maintainable backend services.

- Work extensively with PostgreSQL for database design, querying, optimization, and data integrity.

- Use Redis for caching, queues, session handling, or performance improvement where applicable.

- Write clean, modular, testable, and production-ready Python code.

- Develop REST APIs with proper request validation, error handling, authentication, and response structure.

- Understand business requirements and convert them into robust backend implementation.

- Debug production issues, identify root causes, and implement long-term fixes.

- Optimize database queries, backend logic, and API performance.

- Participate in code reviews and maintain engineering standards.

- Mentor junior developers and help improve their coding, debugging, and backend design skills.

- Work closely with frontend developers, QA, product/business teams, and management.

- Contribute to technical documentation, SOPs, and internal development practices.

- Build backend solutions for fintech workflows related to PMS, AIF, capital markets, reporting, order processing, and operational automation.

Required Technical Skills

Python Backend Development:-

- Strong hands-on experience with Core Python.

- Good understanding of Python data structures, functions, classes, modules, exception handling, and file handling.

- Ability to write clean, reusable, and maintainable backend code.

- Experience with practical backend service logic, data transformation, and debugging.

FastAPI / API Development:-

- Hands-on experience with FastAPI or similar Python web frameworks.

- Strong understanding of REST API design.

- Experience with request/response validation, status codes, error handling, middleware, and dependency injection.

- Basic understanding of authentication and authorization in APIs.

- Ability to design APIs that are practical, secure, and maintainable.

Database Skills:-

- Strong working knowledge of PostgreSQL.

- Ability to write SQL queries involving joins, aggregations, filters, subqueries, and transactions.

- Understanding of indexing, query performance, constraints, and relational database design.

- Ability to troubleshoot data issues and optimize database-heavy backend workflows.

 Redis / Caching:-

- Working knowledge of Redis.

- Understanding of caching use cases, TTL, key-value storage, and performance improvement patterns.

- Experience using Redis in backend applications will be preferred.

 Backend Engineering Fundamentals:-

- Understanding of application architecture, modular code structure, logging, configuration management, and environment variables.

- Good debugging and problem-solving ability.

- Understanding of production issues, edge cases, and maintainability.

- Basic understanding of background jobs, queues, async processing, or scheduled tasks will be preferred.

Version Control & Development Practices

- Experience with Git.

- Ability to work with branches, pull requests, code reviews, and structured development workflows.

- Familiarity with testing, basic unit tests, and API testing tools such as Postman.

Preferred Skills

- Experience in fintech, capital markets, PMS, AIF, wealth management, portfolio reporting, or order management systems.

- Exposure to Angular or frontend development.

- Experience with background task processing, Celery, Redis queues, or scheduled jobs.

- Experience with Docker or Linux-based deployment environments.

- Experience working on enterprise SaaS or client-facing business applications.

- Understanding of financial data workflows, reconciliations, transactions, holdings, reporting, or order lifecycle.

Domain Exposure Preferred

Candidates with experience or interest in the following areas will be preferred:

- Indian capital markets

- Portfolio Management Services — PMS

- Alternative Investment Funds — AIF

- Wealth management platforms

- Order management systems

- Financial reporting systems

- Investor/client reporting workflows

- Transaction, holding, and reconciliation workflows

Expected Candidate Profile

The ideal candidate should be:

- A strong backend developer with practical problem-solving ability.

- Comfortable working independently on backend modules.

- Able to understand business workflows and translate them into technical implementation.

- Detail-oriented, especially when working with financial data.

- Comfortable debugging production issues and improving system reliability.

- Capable of mentoring junior developers.

- Interested in growing into a future technical/team lead role.

- Comfortable working from an office in Bangalore.

Assessment Process

The hiring process will include:

1. Initial screening based on resume, experience, notice period, and compensation fit.

2. Google Form technical assessment of 50 marks.

3. Live coding / technical discussion round.

4. Final face-to-face discussion covering technical depth, domain fit, ownership, and team fit.

What We Are Evaluating

- Python fundamentals and coding clarity

- Backend API design ability

- SQL and PostgreSQL practical knowledge

- Debugging and problem-solving approach

- Understanding of Redis and caching basics

- Ability to think through edge cases

- Code maintainability and readability

- Production-readiness mindset

- Ability to work in fintech/capital markets workflows

- Potential to mentor juniors and grow into a lead role

 Summary

This role is suitable for a backend-focused Python developer who has strong hands-on coding ability, practical database knowledge, and the maturity to independently own backend modules. The candidate should be comfortable working in a fintech product environment where accuracy, reliability, and clean backend design are critical.

About Logikality

Logikality is building an AI-native mortgage intelligence platform for the U.S. mortgage industry. We are reimagining how mortgage operations are executed by combining AI, workflow automation, and domain expertise to solve one of the most document-intensive and decision-heavy industries in the world.

Our platform goes beyond document extraction. We are building AI systems that understand mortgage files, reason across multiple sources of information, identify risks and exceptions, support underwriting and quality control decisions, and continuously improve through expert feedback and rigorous evaluation.

Job Description

We are looking for a Generative AI Engineer to build and scale Logikality's AI-native mortgage platform.

The role requires strong hands-on engineering expertise in designing, building, and deploying production-grade Generative AI systems that power intelligent mortgage operations. You will work across LLM applications, AI agents, retrieval systems, reasoning workflows, backend services, APIs, and cloud infrastructure to transform complex mortgage workflows into reliable AI products.

This is a high-ownership role for someone who can rapidly convert business problems into scalable AI solutions with minimal supervision.

Key Requirements

• 3 to 8 years of experience in software engineering, AI engineering, or Generative AI development, preferably in startup environments. 
• B.E./B.Tech. in Computer Science or a related engineering discipline a premier engineering institution (e.g., IITs, IISc, NITs, BITS Pilani, or top-tier global universities).
• Proven experience independently owning projects end-to-end from solution design and model integration to production deployment, monitoring, and maintenance. 
• Strong proficiency in Python and modern backend development. 
• Hands-on experience building production-grade applications using Large Language Models (LLMs). 
• Experience with agentic AI frameworks, multi-agent workflows, function/tool calling, structured outputs, and prompt engineering. 
• Strong understanding of Retrieval-Augmented Generation (RAG), embeddings, vector databases, semantic search, and knowledge retrieval systems. 
• Experience integrating commercial and open-source foundation models (OpenAI, Anthropic, Gemini, Llama, Mistral, or similar). 
• Experience building AI pipelines using frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or equivalent orchestration frameworks. 
• Strong understanding of model evaluation, hallucination mitigation, guardrails, prompt optimisation, and LLM observability. 
• Experience with OCR, document intelligence, structured information extraction, or multimodal AI systems is preferred. 
• Strong knowledge of APIs, databases, cloud infrastructure, Docker, Kubernetes, and CI/CD pipelines. 
• Ability to design scalable, secure, and production-ready AI architectures. 
• Strong debugging skills, systems thinking, and an ownership mindset with the ability to move quickly in an early-stage startup. 

Preferred Experience

• Experience building AI copilots, autonomous agents, or enterprise AI assistants. 
• Familiarity with MCP, AI tool integration, and agent orchestration. 
• Experience fine-tuning, distillation, or evaluation of open-source LLMs. 
• Knowledge of AI safety, governance, and responsible AI practices. 
• Experience working with document-heavy enterprise domains such as financial services, banking, insurance, healthcare, legal, or mortgage technology. 
• Experience deploying AI applications on AWS, Azure, or GCP. 

What You'll Build

• AI agents that automate mortgage underwriting, quality control, compliance, and document review. 
• RAG-based knowledge systems that reason across large collections of mortgage documents. 
• Intelligent workflows combining LLM reasoning with deterministic business rules. 
• Production-grade AI APIs and backend services powering Logikality's platform. 
• Evaluation pipelines to continuously improve AI quality, accuracy, latency, and cost. 

Why Join Logikality?

At Logikality, you'll work on problems that require genuine reasoning, not just text generation. You'll help build AI systems that understand complex documents, synthesise information across workflows, explain decisions, identify exceptions, and improve through continuous learning and expert feedback.

This will be a full-time in-office role based in Bangalore. Immediate joiners are preferred.

Key Responsibilities

• Performance Testing: Design and execute large-scale strategies using Apache JMeter.
• CI/CD Integration: Embed performance testing into pipelines and automate workflows.
• Observability: Lead monitoring initiatives with Dynatrace.
• AI Insights: Leverage Davis AI for anomaly detection, insights, and root cause analysis.
• Automation Frameworks: Build frameworks for testing, reporting, and quality gates.
• Bottleneck Resolution: Diagnose and resolve issues across applications, APIs, databases, middleware, and infrastructure.
• ML Applications: Apply ML for workload modelling, traffic forecasting, and optimization.
• Collaboration: Partner with Dev, DevOps, Cloud, and Architecture teams.
• Governance: Define standards, best practices, and governance.
• Leadership: Mentor engineers and provide technical leadership.
• Executive Reporting: Present findings and recommendations to stakeholders.

Observability & Monitoring

• Strong hands-on experience with Dynatrace.
• Proven use of Davis AI in production.
• Expertise in APM, Observability, Root Cause Analysis, and Performance Diagnostics.

Automation & AI

• Experience developing Performance Automation frameworks.
• Proficiency in Python scripting.
• Applying AI/ML for traffic prediction, load simulation, workload modelling, and performance optimization.

Cloud & Infrastructure

• Strong experience with AWS, Azure, or GCP.
• Expertise in JVM tuning, database optimization, API performance analysis, and infrastructure monitoring.

Good-to-Have

• Experience with Gatling, k6, or LoadRunner.
• Exposure to Grafana and OpenTelemetry.
• Experience with Kubernetes Performance Tuning.
• Dynatrace certifications.
• Client-facing consulting or professional services background.

We are seeking a highly skilled and passionate Hardware Emulation Engineer to join our team working withthe best in the Industry, developing innovative ASIC solutions for data center and AI Infrastructure. As an Hardware Emulation Engineer, you will be at the forefront of pre-silicon validation, ensuring the highest quality and functionality of our hardware before it goes into production.

Key Responsibilities:

·      Emulation Environment Development: Build and maintain pre-silicon emulation platforms using industry-standard systems such as Cadence Palladium or Synopsys ZeBu or Veloce Strato, Primo

·      Model Integration and Optimization: Integrate the RTL design onto the emulation platform by ensuring synthesizability, optimize build efficiency and performance, and work with high-performance transactors and emulation testbenches (e.g., using SystemVerilog, C/C++, Python).

·      Flush out emulation flow issues by performing smoke verification

·      Support validation team in execute comprehensive test content, including bare-metal and OS-based tests, to accelerate bug finding in pre-silicon on the emulation platform.

·      Collaboration: Work closely with cross-functional teams including design, verification and SW development teams to understand issues in using the emulation platform.

·      Flow Automation: Develop and enhance automation scripts and flows using Python, Perl, and shell scripting to manage regressions, optimize runtime, and improve overall verification efficiency.

·      Vendor Collaboration: Interface with emulation platform vendors to debug and quickly resolve technical issues encountered with the tools.

·      The candidate must be able to work independently and proactively on allocated technical tasks.

Required Skills:

·      Proficiency in Hardware Description Languages (HDLs) such as Verilog and SystemVerilog.

·      SoC Knowledge: Solid understanding of SoC architectures and industry-standard protocols (e.g. AXI, PCIe, ETH, USB, HVM)

·      Experience with verification methodologies (UVM, SVA) and related verification environments, including C/C++ DPI is desirable.

·      Strong scripting skills in Python, Perl, Tcl, or Shell for automation.

·      Familiarity with debugging tools (e.g., Verdi, SimVision) and waveform analysis is desirable.

Education:

Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related field.

Experience:

·      Proven experience of 5+ years in hardware verification and/or emulation roles.

·      Hands-on experience with at least one of the major commercial emulation platforms (Cadence Palladium, Synopsys ZeBu, or Siemens Veloce).

QFocus AI Pvt Ltd is an Equal Employment Opportunity employer.

Python Backend Developer Intern (FastAPI)

Location: Bangalore (On-site)

Company: Appscrip

About Appscrip

At Appscrip, we build products that solve real business problems using modern technologies like AI, cloud infrastructure, and scalable backend systems. We're looking for developers who enjoy building things, learning quickly, and aren't afraid to dive into new technologies.

If you've built projects in Python, experimented with FastAPI, or spent time playing around with AI and LLMs, we'd love to talk to you.

What You'll Be Working On

* Building and maintaining backend services using FastAPI.

* Developing REST APIs for web and mobile applications.

* Working with databases and designing efficient data models.

* Building features powered by AI and Large Language Models (LLMs).

* Integrating third-party APIs and backend services.

* Debugging, optimizing, and improving existing systems.

* Collaborating closely with senior engineers to ship production-ready features.

What We're Looking For

* Strong Python programming skills.

* Hands-on experience with FastAPI through personal, college, internship, or freelance projects.

* Experience working with either PostgreSQL or MongoDB.

* Good understanding of REST APIs, JSON, and HTTP.

* Familiarity with Git and collaborative development.

* A genuine interest in AI and LLMs, with basic knowledge of concepts like:

* Prompt engineering

* Using LLM APIs (OpenAI, Gemini, Claude, etc.)

* RAG or AI agents (nice to know, not mandatory)

* Someone who's curious, enjoys solving problems, and likes learning new technologies.

Nice to Have

These aren't mandatory, but they'll definitely make your profile stand out:

* Redis

* Kafka or other messaging systems

* Docker

* Celery or background workers

* SQLAlchemy

* Vector databases (Qdrant, Pinecone, Weaviate, etc.)

* Experience deploying applications to the cloud

Who Can Apply?

* Final-year students

* Recent graduates

* Freshers or candidates with up to 1 year of experience

The most important thing for us is that you've built things. Whether they're college projects, hackathon submissions, personal projects, or open-source contributions—we'd love to see them.

Why Join Appscrip?

* Work on real production applications from day one.

* Get hands-on experience with modern AI technologies and LLM-powered products.

* Learn from experienced backend engineers.

* Exposure to scalable backend architecture, cloud infrastructure, and modern development practices.

* A fast-paced environment where you'll have ownership and plenty of opportunities to grow.

If you're passionate about Python, enjoy backend development, and are excited about building AI-powered applications, we'd love to hear from you.

🚀 Job Title : DevOps Engineer / Site Reliability Engineer (SRE)

Experience Level : 4+ Years

Location : Gurugram Sector 48, Haryana (On-site)

Employment Type : Full Time Opportunity

About the Role :

We are looking for a proactive DevOps / Site Reliability Engineer (SRE) with around 4 years of hands-on experience designing, automating, and scaling cloud infrastructure and CI/CD delivery pipelines.

In this role, you will bridge the gap between development and operations. You will be responsible for orchestrating containerized applications, automating infrastructure via Code (IaC), establishing SRE best practices (SLIs, SLOs, SLAs), and ensuring maximum uptime, resiliency, and operational efficiency across multi-cloud environments (AWS/Azure/GCP).

Mandatory Skills :

AWS, Kubernetes, Docker, Terraform, Ansible, Jenkins, GitLab CI/CD, GitHub Actions, Python, Bash, CI/CD, Infrastructure as Code (IaC), Grafana, Prometheus, ELK, New Relic, CloudWatch, SRE, SLI/SLO/SLA, Linux

Key Responsibilities :

1. Cloud Infrastructure & Infrastructure as Code (IaC) :

• Provision, configure, and maintain scalable, high-availability infrastructure on multi-cloud platforms, primarily AWS (EC2, VPC, IAM, S3, RDS, Route53, ALB/ASG, Lambda, EBS).
• Build, deploy, and manage Infrastructure as Code (IaC) using Terraform, Ansible, and CloudFormation to enforce consistency and eliminate configuration drift.
• Execute disaster recovery (DR) planning, automated failover / failback mechanisms, and chaos engineering exercises to validate system resiliency.

2. CI/CD, Automation & Development :

• Design, end-to-end maintain, and optimize robust CI/CD pipelines using Jenkins, GitLab CI, and GitHub Actions.
• Automate release pipelines, versioning, branching strategies, and approval gates using Groovy, Python, and Bash scripting. Integrate automated code quality and security scanning tools (SonarQube, Black Duck, or Fortify) directly into delivery pipelines.
• Develop custom tools, scripts, or microservices (e.g., Python / Node.js) to automate manual operational tasks and operational toil.

3. Containerization & Orchestration :

• Onboard and orchestrate containerized microservices utilizing Docker and Kubernetes (including Helm charts).
• Ensure high availability, auto-scaling, resource management, and fault tolerance for Kubernetes pod deployments.

4. Observability, SRE & Incident Management :

• Drive Site Reliability Engineering (SRE) maturity by establishing, tracking, and reporting SLIs, SLOs, and SLAs with cross-functional engineering teams.
• Build, configure, and manage full-stack observability tools : Grafana, Prometheus, New Relic, Elasticsearch / Logstash / Kibana (ELK), Sentry, and AWS CloudWatch.
• Set up real-time alerting, custom metric dashboards, and automated log rotation / pruning scripts.
• Handle production incidents, lead Root Cause Analysis (RCA) investigations, and implement preventive measures to reduce Mean Time to Resolution (MTTR).

Required Qualifications & Skills :

• Education : Bachelor’s Degree in Electronics and Communication Engineering, Computer Science, or a related technical field.
• Experience : ~4 years of experience in DevOps, SRE, or Cloud System Administration roles.
• Cloud & Infrastructure : Hands-on experience with AWS (Core services like EC2, S3, VPC, RDS, IAM, Lambda, Auto Scaling) and exposure to Azure / GCP.
• CI/CD & Version Control : Proficiency with Jenkins, GitLab CI, GitHub Actions, and Git workflows.
• Containerization : Core proficiency in Docker and Kubernetes cluster management / onboarding.
• Infrastructure as Code : Expertise in Ansible, Terraform, or AWS CloudFormation.
• Scripting & Languages : Strong hands-on automation skills with Python, Bash, and foundational knowledge of Node.js, Java or C++.
• Observability & Logging : Strong experience with Grafana, Prometheus, New Relic, ELK stack, or Splunk.
• Database & SQL : Familiarity with relational databases (MySQL, RDS) for monitoring setup and operational analytics.

FORWARD DEPLOYED ENGINEER (FDE)

Engineering · Customer Solutions

Department: Engineering / Customer Solutions

Location: Hyderabad, India (on-site with customer travel as needed)

Employment Type: Full-Time

Reports To: Head of Customer Engineering

ABOUT KNACKLABS.AI

knacklabs.ai builds AI-powered products and platforms that help organizations turn complex workflows into simple, reliable

systems. We work closely with customers to deploy real solutions to real problems — not just ship features. As we scale, we're

looking for engineers who are as comfortable in front of a customer as they are in a codebase.

ROLE OVERVIEW

As a Forward Deployed Engineer at knacklabs.ai, you will sit at the intersection of engineering and customer success. You'll

embed directly with customer teams to understand their workflows, rapidly prototype and ship solutions using our platform, and

turn those learnings into product improvements. This role is ideal for engineers who want high ownership, fast feedback loops,

and direct exposure to how their code changes a customer's business.

KEY RESPONSIBILITIES

● Customer Embedding: Work directly with customers to understand their business processes, pain points, and technical

environments.

● Solution Building: Design, build, and deploy custom integrations, workflows, and applications on top of the

knacklabs.ai platform.

● Product Feedback Loop: Turn one-off customer builds into reusable, generalizable features by working closely with

the core product and engineering teams.

● Rapid Prototyping: Write production-quality code under real deadlines, balancing speed with maintainability.

● Technical Troubleshooting: Debug issues across the stack — from data pipelines to APIs to front-end integrations —

in live customer environments.

● Ongoing Ownership: Own the technical relationship with select customers post-deployment, ensuring solutions remain

stable and scale with their needs.

● Travel: Travel to customer sites as needed (expected occasionally, varies by account).

REQUIRED QUALIFICATIONS

● 3+ years of professional software engineering experience, ideally including customer-facing or implementation work.

● Strong proficiency in at least one backend language (Python, Node.js, Go, or similar) and comfort working across a full

stack.

● Experience with REST/GraphQL APIs, databases (SQL/NoSQL), and cloud platforms (AWS, GCP, or Azure).

● Demonstrated ability to work independently in ambiguous, fast-changing environments.

● Strong communication skills — able to explain technical tradeoffs clearly to both engineers and non-technical

stakeholders.

● A bias toward action: comfortable shipping a working solution today rather than a perfect one next month.

PREFERRED QUALIFICATIONS

● Prior experience as a Forward Deployed Engineer, Solutions Engineer, or in a consulting/implementation role.

● Experience working with AI/ML products, LLM-based applications, or data-intensive systems.

● Familiarity with enterprise environments, integration patterns, and security/compliance considerations.

● Startup experience, or comfort with the pace and scope changes that come with an early-stage company.

WHAT WE OFFER

● The opportunity to see your work directly and immediately impact real customers.

● A high-ownership role with a direct path into product and engineering leadership.

● Competitive compensation, including equity.

● A collaborative, fast-moving team building at the frontier of applied AI.

Skills: Digital: Application Programming Interface (API)~Java Rest web services~ AI Agents~ AI & Gen AI - Products & Tools

Job Description – Gen AI Developer

Exp: 5-8 years

Role Summary

We are looking for a skilled AI Developer to design, develop, and deploy AI-powered applications, intelligent automation solutions, and Generative AI systems. The ideal candidate should have hands-on experience in Python development, Large Language Models (LLMs), Prompt Engineering, AI agent development, workflow automation, and cloud AI services.

Key Responsibilities

AI Application Development

· Design and develop AI-powered business applications.

· Build enterprise AI assistants, copilots, and AI agents.

· Develop AI APIs and intelligent automation workflows.

· Integrate AI capabilities into enterprise applications.

· Create scalable and production-ready AI solutions.

Generative AI Development

· Build applications using Large Language Models (LLMs).

· Develop Prompt Engineering frameworks.

· Implement RAG (Retrieval-Augmented Generation) solutions.

· Integrate OpenAI and Azure OpenAI models.

· Develop conversational AI and intelligent assistants.

Intelligent Automation

· Build workflow automation solutions.

· Develop AI-driven business process automation.

· Create intelligent document processing solutions.

· Integrate AI with enterprise business systems.

· Automate repetitive operational processes.

Conversational AI

· Build AI chatbots and virtual assistants.

· Design conversational workflows.

· Implement multi-channel AI solutions.

· Enable human-in-the-loop AI workflows.

Model Development & Integration

· Develop and deploy machine learning models.

· Fine-tune AI models for business use cases.

· Build inference APIs and AI services.

· Support model lifecycle management.

Mandatory Technical Skills: Programming Languages

Must Have

· Python

· SQL

· REST APIs

· JSON

Technical requirements in current AI architecture documents explicitly highlight strong experience in Python and AI solution development.

Generative AI

Must Have

· OpenAI

· Azure OpenAI

· Prompt Engineering

· LLM Integration

· AI Assistants

· RAG Architecture

Good to Have

· Claude

· Gemini

· Llama Models

· Mistral

AI leadership and AI architecture requirements specifically reference Generative AI, Azure OpenAI, prompt engineering, orchestration, and enterprise AI adoption.

AI Frameworks

Preferred

· LangChain

· Semantic Kernel

· LlamaIndex

· Hugging Face

· AutoGen

· CrewAI

Machine Learning

Must Have

· Scikit-Learn

· TensorFlow

· PyTorch

Concepts

· Model Training

· Model Evaluation

· Model Deployment

· Feature Engineering

NLP & Semantic Search

· Natural Language Processing

· Embeddings

· Vector Search

· Semantic Search

· Text Analytics

· Knowledge Retrieval

Microsoft AI Stack

Must Have

· Microsoft Copilot Studio

· Power Automate

· Azure AI Services

· Azure AI Foundry

The internal AI Architecture JD explicitly calls out Copilot Studio, Power Automate, Azure AI Foundry, and Generative AI technologies as core competencies.

Cloud Platforms

Microsoft Azure

· Azure AI Services

· Azure OpenAI

· Azure AI Foundry

· Azure Functions

· Azure App Services

· Azure Storage

· Azure Machine Learning

AWS (Preferred)

· SageMaker

· Bedrock

· Lambda

· S3

Cloud-native AI platforms including Azure ML and SageMaker are referenced within internal AI/ML architecture requirements.

Automation & Integration

· Power Automate

· Workflow Automation

· API Integration

· Microsoft Graph API

· Intelligent Process Automation

MLOps & DevOps

Preferred

· Git

· Azure DevOps

· CI/CD Pipelines

· Docker

· Kubernetes

· Model Monitoring

· Model Versioning

Current AI architecture standards include MLOps lifecycle management, model deployment, monitoring, and CI/CD integration.

BFSI Domain Experience (Preferred)

Experience in:

· Banking

· Corporate Banking

· Payments

· Risk Management

· Fraud Detection

· Insurance

· Financial Data Analytics

Soft Skills

· Strong analytical mindset

· Innovation-driven approach

· Problem-solving skills

· Excellent communication skills

· Stakeholder management

· Team collaboration

Educational Qualification

· B.E. / B.Tech.

· MCA

· M.Tech.

· Computer Science

· Artificial Intelligence

· Data Science

· Machine Learning

Preferred Certifications

· Microsoft Azure AI Engineer Associate (AI-102)

· Azure Fundamentals (AZ-900)

· Azure OpenAI Certifications

· Machine Learning Certifications

· Generative AI Certifications

Amura’s Vision 

We believe that the most under-appreciated route to releasing untapped human potential is to build a healthier body, and through which a better brain. This allows us to do more of everything that is important to each one of us.

Billions of healthier brains, sitting in healthier bodies, can take up more complex problems that defy solutions today, including many existential threats, and solve them in just a few decades.

Billions of healthier brains will make the world richer beyond what we can imagine today. The surplus wealth, combined with better human capabilities, will lead us to a new renaissance, giving us a richer and more beautiful culture.

These healthier brains will be equipped with deeper intellect, be less acrimonious, more magnanimous, and have a kinder outlook on the world, resulting in a world that is better than any previous time.

We find this vision of the future exhilarating. Our hopes and dreams are to create this future as quickly as possible and ensure that it is widely distributed and optimized to maximize all forms of human excellence. 

Role Overview 

We are looking for a highly skilled Senior DevOps Engineer (AI-Native Infrastructure & Platform Engineering) with deep expertise in AWS cloud infrastructure, automation, AI infrastructure operations, and modern DevOps/SRE practices.

This role goes beyond traditional DevOps and requires a seasoned specialist capable of building and operating AI-ready infrastructure platforms that support high-throughput APIs, LLM/AI workloads, GPU-based compute, data-intensive systems, real-time inference pipelines, and scalable ML platforms.

You will be responsible for architecting, automating, securing, and optimizing highly scalable and cost-efficient cloud environments that enable high-velocity engineering and AI teams. This is an ideal position for someone who combines technical ownership, an automation-first mindset, and a passion for developer productivity and platform reliability. 

Key Responsibilities 

Cloud Infrastructure & Platform Engineering (AWS) 

• Architect, deploy, and manage highly scalable and secure infrastructure on AWS. Design cloud platforms supporting AI/ML workloads, data pipelines, real-time APIs, and high-concurrency backend systems.
• Hands-on expertise with key AWS services including EC2, ECS/EKS, Lambda, RDS, DynamoDB, S3, VPC, CloudFront, IAM, CloudWatch, and GPU-enabled instances.
• Build and maintain Infrastructure-as-Code (IaC) using Terraform, CloudFormation, or AWS CDK.
• Design multi-AZ and multi-region architectures for high availability and disaster recovery (HA/DR).
• Build reusable platform templates and shared infrastructure modules. 

AI/ML Infrastructure & MLOps 

• Build and maintain infrastructure for LLM applications, AI inference workloads, model serving platforms, vector databases, and feature stores.
• Support GPU-based workloads and optimize compute/storage usage.
• Enable scalable deployment patterns for AI applications using Kubernetes/EKS. Collaborate with Data Science and ML Engineering teams on model deployment, training/tuning of models, CI/CD for ML systems, experiment environments, and reproducibility.
• Support orchestration and deployment of AI workflows and inference services while implementing observability and reliability for AI pipelines. 

CI/CD, Automation & Developer Productivity 

• Build and maintain CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or AWS CodePipeline.
• Automate deployments, environment provisioning, and release workflows.
• Build self-service developer platforms, preview environments, and reusable deployment workflows to improve developer productivity.
• Implement automated patching, scaling, backups, cleanup workflows, and drift detection. 

Containers, Kubernetes & Platform Reliability

• Manage Docker-based environments, containerized applications, and optimize workloads using Kubernetes (EKS) or ECS/Fargate.
• Manage autoscaling, cluster health, node pools, ingress, service mesh, and workload isolation.
• Optimize infrastructure for performance, resilience, and cost-efficiency.
• Implement progressive deployment strategies including blue/green, canary, and rolling deployments. 

Observability, Incident Response & SRE Practices

• Implement observability stacks using CloudWatch, Prometheus, Grafana, ELK, Datadog, OpenTelemetry, or New Relic.
• Build actionable dashboards and intelligent alerting systems while defining and tracking SLIs, SLOs, and SLAs.
• Lead incident response, root cause analysis, and blameless postmortems to reduce operational toil and improve MTTR.

FinOps, Cost Governance & Security

• Continuously monitor and optimize cloud costs (compute utilization, storage lifecycle, GPU usage, and data transfer) using AWS Cost Explorer, Budgets, Trusted Advisor, CloudHealth, or Kubecost.
• Implement AWS security best practices for IAM, VPCs, security groups, NACLs, encryption, and manage secrets using KMS, SSM Parameter Store, or Vault.
• Build secure CI/CD pipelines with automated security checks, least-privilege access, audit logging, and ensure compliance readiness for ISO 27001, SOC2, and GDPR.

Collaboration, Leadership & Platform Culture

• Work closely with engineering, AI/ML, QA, product, and operations teams to drive a DevOps, SRE, GitOps, and automation-first culture.
• Mentor junior DevOps and Platform Engineers while creating and maintaining detailed runbooks, architecture diagrams, and platform documentation.

Skills & Qualifications

Must-Have:

• 7+ years of experience in DevOps, SRE, Platform Engineering, or Cloud Infrastructure Engineering.
• Strong expertise in AWS cloud architecture, services, and deep understanding of Kubernetes (EKS), containers, and cloud-native systems.
• Strong Infrastructure-as-Code expertise using Terraform, CloudFormation, or CDK. Strong Linux administration, networking, DNS, routing, and load balancing knowledge. Strong scripting/programming experience in Python, Bash, or Go (preferred). Experience with CI/CD automation, GitOps workflows, and observability platforms supporting scalable production systems.

Preferred / Nice-to-Have:

• Experience with AI/ML infrastructure, MLOps, model serving, vector databases, GPU orchestration, and inference optimization.
• Familiarity with Kafka, Redis, SQS, and event-driven systems.
• Exposure to platform engineering, internal developer platforms, and tools like ArgoCD, Flux, Helm, and OpenTelemetry.
• AWS Certifications: Solutions Architect, DevOps Engineer, or SysOps Administrator. Knowledge of distributed systems and large-scale platform operations. 

Preferred / Nice-to-Have:

• Experience with AI/ML infrastructure, MLOps, model serving, vector databases, GPU orchestration, and inference optimization.
• Familiarity with Kafka, Redis, SQS, and event-driven systems.
• Exposure to platform engineering, internal developer platforms, and tools like ArgoCD, Flux, Helm, and OpenTelemetry.
• AWS Certifications: Solutions Architect, DevOps Engineer, or SysOps Administrator. Knowledge of distributed systems and large-scale platform operations. 

Here are answers to some questions you may have

Where is your office?

Chennai (Velachery)

Work Model

Work from Office – because great stories are built in person!

Do you have an online presence?

https://amura.ai (we are @AmuraHealth on all social media)

Role: GCP Data Engineer

Location: Bangalore. Chennai, Noida, Pune, Hyderabad

Experience: 5 years

Primary skills: Python, NOSQL, GCP concepts like Airflow, Big Query & Spanner, DAG, Composer for large dataset, Tidal tool

Role Descriptions:

Design| build| and maintain scalable data pipelines to support analytics| ML| and operational reporting.

Develop robust data ingestion| transformation| and integration workflows using Python| SQL| and modern data engineering frameworks.

Work with Google Cloud Platform (GCP) services| including Cloud Storage| Dataflow| PubSub| BigQuery| Cloud Spanner and Cloud Functions

Experience building data pipelines or backend data workflows using Python or similar languages

We are looking for a Data Engineer with at least 1 year of hands-on experience building solutions on Snowflake. The candidate should be comfortable designing, building, and managing reliable data pipelines that move data from multiple sources into a central data platform.

Responsibilities

• Build and maintain data pipelines for ingesting, transforming, and loading data into Snowflake
• Design scalable data models, schemas, tables, and views in Snowflake
• Develop ETL/ELT workflows using SQL, Python, or data orchestration tools
• Integrate data from APIs, databases, files, and third-party platforms
• Monitor pipeline performance, failures, data quality, and freshness
• Optimize Snowflake queries, warehouses, storage, and compute usage
• Implement incremental loads, change data capture, and scheduled workflows
• Work with engineering and business teams to understand data requirements
• Maintain documentation for pipelines, datasets, and data transformations

Requirements

• 1+ year of hands-on experience working with Snowflake
• Strong SQL skills and experience writing complex queries
• Experience building and managing ETL or ELT data pipelines
• Knowledge of data warehousing concepts, dimensional modelling, and data quality
• Experience with Python or another scripting language
• Familiarity with orchestration tools such as Airflow, Dagster, Prefect, dbt, or similar
• Understanding of APIs, relational databases, file formats, and cloud storage
• Ability to troubleshoot pipeline failures and performance issues
• Strong analytical, problem-solving, and communication skills

Good to Have

• Experience with dbt and Snowflake Tasks, Streams, Snowpipe, or Dynamic Tables
• Knowledge of AWS, Azure, or Google Cloud
• Experience with Kafka or other streaming platforms
• Familiarity with CI/CD, Git, monitoring, and data governance practices
• Experience integrating ERP, finance, or operational systems

[Please refrain from applying if you have over 10 years of experience. This is a hands-on role that requires building from the ground up.]

Location: Bengaluru (In-Office)

Employment Type: Full-Time

About Logikality

Logikality is building an AI-native mortgage intelligence platform for the U.S. mortgage industry. We are reimagining how mortgage operations are executed by combining AI, workflow automation, and domain expertise to solve one of the most document-intensive and decision-heavy industries in the world.

Our platform goes beyond document extraction. We are building AI systems that understand mortgage files, reason across multiple sources of information, identify risks and exceptions, support underwriting and quality control decisions, and continuously improve through expert feedback and rigorous evaluation.

As we expand our AI capabilities, we are looking for a Director, AI Engineering to define and drive the research direction behind our next generation of intelligent systems.

About the Role

This is a hands-on technical leadership role for someone who enjoys solving difficult AI problems and turning research into production impact.

You will lead the research agenda across large language models, reasoning systems, agentic AI, multimodal learning, and intelligent decision support while working closely with engineering, product, and mortgage domain experts. You will prototype new ideas, validate them through rigorous experimentation, and help productionize solutions that directly improve customer outcomes.

This role is ideal for someone with deep research expertise who enjoys building real-world AI systems rather than research for its own sake.

What You'll Do

• Define and execute the Applied AI research roadmap aligned with company and product goals.
• Design novel approaches for document understanding, reasoning, planning, retrieval, and decision support.
• Build agentic AI systems capable of orchestrating tools, workflows, and domain knowledge to solve complex mortgage use cases.
• Develop multimodal AI models that combine documents, structured data, images, and operational context.
• Lead research on long-context reasoning, knowledge integration, memory, retrieval-augmented generation (RAG), and workflow automation.
• Design robust evaluation frameworks, benchmarks, and automated testing pipelines to measure model quality, reliability, explainability, and business impact.
• Rapidly prototype, experiment, and iterate on new AI techniques, evaluating state-of-the-art research for production adoption.
• Work closely with software engineers to translate research prototypes into scalable, production-ready systems.
• Mentor AI engineers and contribute to building a strong research culture within the organisation.
• Collaborate with mortgage domain experts to deeply understand operational workflows, compliance requirements, and decision-making processes.
• Stay current with advances in AI research and identify opportunities to leverage emerging techniques within our platform.
• Represent Logikality in customer interactions, strategic discussions, industry conferences, and business forums, communicating our AI vision, gathering market insights, and helping shape research priorities through direct engagement with customers and ecosystem partners.

What We're Looking For

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline; or an engineering degree in Computer Science or related disciplines from a premier engineering institution (e.g., IITs, IISc, NITs, BITS Pilani, or top-tier global universities).
• 3–8 years of professional experience in Applied AI, Machine Learning, or AI Research, with experience building production-grade AI systems
• Strong expertise in modern AI, including Large Language Models, transformers, agentic AI, reasoning systems, retrieval, multimodal learning, or adjacent areas.
• Strong software engineering skills with Python and modern machine learning frameworks.
• Experience designing and implementing production-grade AI systems that solve complex real-world problems.
• Strong understanding of model evaluation, benchmarking, experimentation, and AI system reliability.
• Experience balancing research innovation with engineering pragmatism and product delivery.
• Excellent problem-solving and communication skills with the ability to collaborate across engineering, product, and business teams.

Why Join Logikality?

At Logikality, you'll work on problems that require genuine reasoning, not just text generation. You'll help build AI systems that understand complex documents, synthesise information across workflows, explain decisions, identify exceptions, and improve through continuous learning and expert feedback.

This is an opportunity to work at the intersection of cutting-edge AI research and real-world impact, where your ideas won't remain as papers or prototypes; they'll power intelligent systems used every day by mortgage professionals. We are looking for someone who can connect AI, platform engineering, product thinking and customer outcomes.

For the right person, this could develop into a CTO and co-founder track over the next 6–9 months, based on contribution, technical leadership and mutual fit.

Interested candidates are requested to apply via the Google Form given: https://forms.gle/jFqKzfLhNCcCFU5t9

This will be a full-time in-office role based in Bangalore. Immediate joiners are preferred.

• Data Preparation & Pipelines
• Collect, clean, structure and segregate data from multiple sources so it is ready for analysis and modelling; build repeatable data pipelines.
• Data accuracy & completeness; pipeline reliability; turnaround time.
• Model Development & Predictive Analytics
• Build, train, test and improve machine-learning models and prediction use cases.
• Model accuracy; validation rigour; improvement over baseline.
• Deployment, Integration & Documentation
• Serve models via APIs, support basic deployment, maintain version control and clear technical documentation. Build or integrate with backend services (Python-based or MEAN/MERN stack) to expose ML functionality to production applications.
• Solutions in actual use; clean repos; quality of documentation; smooth backend integration.
• Collaboration & Continuous Learning
• Work with the wider team and keep up with new tools, models and methods.
• Team feedback; adoption of new techniques; knowledge sharing.

Job Description – Front End QA Automation Engineer (Payments Domain)

Experience: 5–7 Years

Location: Chennai / Pune (Hybrid – 3 Days WFO) or Remote

Notice Period: Immediate Joiners Only

Role Overview

We are looking for a Front End QA Automation Engineer with strong experience in eCommerce testing, payment gateway validation, and front-end automation. The ideal candidate should have hands-on experience testing Salesforce Commerce/eCommerce applications, validating payment workflows, and building robust UI automation frameworks.

Key Responsibilities

• Design, develop, and maintain automated test scripts for web-based applications.
• Validate end-to-end payment gateway and payment processor integrations.
• Perform functional, regression, integration, and UI automation testing.
• Test Salesforce eCommerce applications and customer-facing web experiences.
• Execute SQL queries to validate backend data and transactional integrity.
• Develop and enhance automation scripts using Python.
• Collaborate with developers, product owners, and QA teams to ensure high-quality releases.
• Analyze defects, perform root cause analysis, and support issue resolution.
• Participate in Agile ceremonies and contribute to continuous quality improvements.

Required Skills

• 5–7 years of Quality Engineering / QA Automation experience.
• Strong experience in Front-End Web Automation.
• Hands-on experience testing Salesforce eCommerce applications.
• Experience validating payment gateways and payment processors.
• Strong SQL knowledge for database validation.
• Python scripting for automation.
• Experience with web application testing, regression testing, and CI/CD environments.
• Good understanding of Agile development methodologies. 

Job Title : DevOps Engineer / Site Reliability Engineer (SRE)

Experience : 5+ Years

Location : Gurugram, Haryana

Work Mode : On-site (Full-time)

About the Role :

We are looking for a skilled DevOps Engineer with 5+ years of experience in cloud infrastructure, CI/CD, automation, Kubernetes, and Site Reliability Engineering (SRE). The ideal candidate will be responsible for building scalable cloud infrastructure, automating deployments, improving system reliability, and ensuring high availability across production environments.

Mandatory Skills :

AWS, Terraform, Ansible, CloudFormation, Jenkins, GitLab CI, GitHub Actions, Docker, Kubernetes, Helm, Python, Bash, Grafana, Prometheus, ELK Stack, CloudWatch, New Relic, SRE, CI/CD, Infrastructure as Code (IaC), Linux

Key Responsibilities :

• Design, deploy, and manage cloud infrastructure primarily on AWS (EC2, VPC, IAM, S3, RDS, Route53, ALB, Auto Scaling, Lambda).
• Build and maintain Infrastructure as Code (IaC) using Terraform, Ansible, and CloudFormation.
• Develop and optimize CI/CD pipelines using Jenkins, GitLab CI, and GitHub Actions.
• Deploy and manage containerized applications using Docker, Kubernetes, and Helm.
• Implement monitoring and observability using Grafana, Prometheus, ELK Stack, CloudWatch, and New Relic.
• Drive SRE practices by defining SLIs, SLOs, SLAs, handling production incidents, conducting RCA, and improving system reliability.
• Automate operational tasks using Python, Bash, and Groovy scripting.
• Collaborate with Development, QA, Security, and Operations teams to ensure reliable and secure software delivery.

Required Skills & Qualifications :

• Bachelor's degree in Computer Science, IT, Electronics, or a related field.
• 5+ years of experience in DevOps, SRE, or Cloud Infrastructure.
• Strong expertise in AWS, with exposure to Azure/GCP.
• Hands-on experience with Terraform, Ansible, CloudFormation, Docker, Kubernetes, Helm, Jenkins, GitLab CI, GitHub Actions, and Git.
• Strong scripting skills in Python and Bash.
• Experience with monitoring tools such as Grafana, Prometheus, ELK Stack, CloudWatch, and New Relic.
• Good understanding of Linux, networking, SQL, and cloud security best practices.

Preferred Skills :

• Experience with multi-cloud environments and DevSecOps practices.
• Knowledge of disaster recovery, automation, and microservices architecture.
• Strong troubleshooting, communication, and problem-solving skills.

About the Role

We are looking for an exceptionally strong AI Product Engineer who is passionate about building AI-powered products that solve real-world problems. You will work on designing, developing, and deploying intelligent backend systems powered by Large Language Models (LLMs), modern AI frameworks, and scalable Python services.

This role is ideal for engineers who enjoy solving complex problems, have a strong foundation in algorithms and logical reasoning, and are excited to build production-grade AI applications.

Responsibilities

• Design and develop scalable backend services using Python.
• Build AI-powered features leveraging Large Language Models (LLMs) and modern AI frameworks.
• Develop APIs and backend architectures for AI applications.
• Optimize AI workflows for performance, latency, and scalability.
• Work closely with Product, Design, and Engineering teams to translate business requirements into technical solutions.
• Design prompt engineering workflows, RAG pipelines, AI agents, and automation solutions.
• Solve complex algorithmic and system design challenges.
• Write clean, maintainable, and well-tested code.
• Continuously evaluate emerging AI technologies and integrate them into products where appropriate.

Required Skills

• Strong proficiency in Python Backend Development.
• Excellent understanding of Data Structures & Algorithms.
• Hands-on experience with Large Language Models (LLMs) such as OpenAI, Claude, Gemini, or open-source models.
• Strong logical reasoning and analytical problem-solving abilities.
• Experience building REST APIs using frameworks such as FastAPI, Flask, or Django.
• Understanding of prompt engineering, embeddings, vector databases, and Retrieval-Augmented Generation (RAG).
• Familiarity with Git, Docker, and cloud deployment.
• Ability to write efficient, scalable, and production-quality code.

Preferred Qualifications

• B.Tech/M.Tech from IITs, BITS Pilani, or NITs (preferred).
• Experience working on AI products deployed in production.
• Familiarity with LangChain, LangGraph, LlamaIndex, or similar AI orchestration frameworks.
• Knowledge of SQL/NoSQL databases.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Exposure to CI/CD pipelines and containerized deployments.

Experience

• 1+ years of professional software development experience with a focus on Python and AI/ML applications.

What We're Looking For

• Strong first-principles thinker with exceptional logical reasoning.
• Passion for building AI-first products from idea to production.
• Ability to work in a fast-paced startup environment with high ownership.
• Curiosity to experiment with the latest advancements in AI and rapidly translate them into customer value.

Compensation

• CTC: ₹16–17 LPA (based on experience and technical evaluation).

If you are excited about building cutting-edge AI products and want to work on challenging engineering problems with a high-impact team, we'd love to hear from you.

Position: Python Developer – Flask

Experience: 3+ Years

Location: Bangalore

Joining: Immediate Joiner Preferred

Employment Type: Full-Time

About the Role

We are looking for a skilled and passionate Python Developer with strong experience in Flask framework to join our growing development team. The ideal candidate should have hands-on experience in developing scalable backend applications, REST APIs, and integrating databases/services in a fast-paced environment.

Key Responsibilities

Develop, test, and maintain backend applications using Python and Flask.

Design and build RESTful APIs for web and mobile applications.

Collaborate with frontend developers, QA teams, and product stakeholders.

Write reusable, scalable, and efficient code.

Integrate third-party APIs and services.

Optimize application performance and troubleshoot issues.

Work with databases and ensure data security and integrity.

Participate in code reviews and technical discussions.

Maintain proper documentation for development activities.

Required Skills

3+ years of experience in Python development.

Strong hands-on experience with Flask framework.

Good understanding of REST API development.

Experience with MySQL/PostgreSQL/MongoDB databases.

Familiarity with ORM libraries such as SQLAlchemy.

Knowledge of Git/version control systems.

Understanding of software development lifecycle and agile methodologies.

Basic understanding of Docker and deployment processes is an added advantage.

Good debugging and problem-solving skills.

Preferred Skills

Experience with AWS/Azure or cloud platforms.

Exposure to microservices architecture.

Familiarity with CI/CD pipelines.

Knowledge of frontend technologies like React or Angular is a plus.

Educational Qualification

Bachelor’s degree in Computer Science, Information Technology, or related field.

What We’re Looking For

Immediate joiner or candidates with short notice period.

Strong communication and teamwork skills.

Self-driven and proactive mindset

Location: Bengaluru (Work from Office – 6 Days a Week)

About the Role

We're looking for a Software Development Engineer III (SDE-3) to join our growing engineering team. We're seeking engineers who have previously built, scaled, or significantly contributed to applications serving 100K+ users. You'll be joining a small, high-impact team, so we're looking for engineers who thrive on ownership, move quickly, and enjoy solving challenging technical problems.

We are technology agnostic and value strong engineering fundamentals over expertise in any particular language or framework. Whether your background is Backend, Frontend, or Full Stack, we'd love to hear from you.

What You'll Do

• Design, develop, and maintain scalable, reliable, and high-performance applications.
• Build robust, production-ready software that delivers exceptional user experiences.
• Take end-to-end ownership—from design and development to deployment and production support.
• Work closely with Product, Design, and Engineering to deliver impactful features.
• Write clean, maintainable, and well-tested code following engineering best practices.
• Leverage AI-assisted development tools (such as GitHub Copilot, Cursor, Claude Code, ChatGPT, or similar) to improve development speed, code quality, debugging, testing, and overall engineering productivity.
• Participate in architecture and design discussions, balancing scalability with simplicity.
• Troubleshoot production issues and continuously improve system performance and reliability.
• Contribute to a collaborative engineering culture through code reviews and knowledge sharing.

Must-Have Qualifications

• 4–6 years of professional software development experience.
• Strong proficiency in at least one high-level programming language, such as Python, Go (Golang), C#, JavaScript/TypeScript, Kotlin, Scala, or Ruby.
• Strong understanding of Data Structures, Algorithms, Object-Oriented Programming, and System Design.
• Hands-on experience building, scaling, or maintaining production applications with a user base of 100K+ users.
• Proven experience working on high-traffic, large-scale consumer or B2B products where performance, reliability, and scalability were critical.
• Experience developing modern Backend, Frontend, or Full Stack applications.
• Strong understanding of APIs, databases, and scalable application architecture.
• Demonstrated ability to effectively use AI coding assistants to accelerate software development while maintaining high standards of code quality and engineering best practices.
• Excellent problem-solving skills and a strong sense of ownership.

Preferred Qualifications

• Experience working on platform or infrastructure products is highly preferred.
• Experience with cloud platforms (AWS, GCP, or Azure).
• Familiarity with microservices, distributed systems, CI/CD, and containerization.
• Experience working in product companies or fast-paced startup environments.

Who You Are

• You enjoy working in small, fast-moving teams where every engineer has significant ownership.
• You're comfortable wearing multiple hats and contributing across different parts of the stack when needed.
• You've previously worked on products operating at scale and understand the engineering challenges of supporting 100K+ active users, including performance optimization, reliability, and scalability.
• You have a product mindset and care deeply about performance, scalability, and user experience.
• You're a proactive problem solver who enjoys taking initiative and driving projects independently.
• You embrace modern engineering practices, including the effective use of AI tools to enhance productivity without compromising software quality.
• You value collaboration, continuous learning, and building high-quality software.

Why Join Us?

• Join a high-impact engineering team with significant ownership and autonomy.
• Solve challenging engineering problems with a focus on performance, scalability, and reliability.
• Collaborate with talented engineers in a fast-paced, product-driven environment.
• Build software that directly impacts thousands of users while accelerating your technical growth.

Company Overview:

Euphoric Thought Technologies is a technology-driven firm focused on building scalable software solutions that streamline complex business processes. Operating at the intersection of data engineering and cloud infrastructure, the company serves a diverse portfolio of clients across the fintech and enterprise SaaS sectors. With a culture rooted in technical excellence and agile problem-solving, Euphoric Thought Technologies empowers its engineers to own their modules from conception to deployment, fostering an environment where high-impact code is the primary driver of growth.

Role Overview:

As a Python Developer specializing in Flask, you will be responsible for architecting and maintaining robust backend services that power our core platforms. You will work closely with cross-functional teams, including product managers and frontend engineers, to translate business requirements into high-performance API endpoints. Your daily contributions will directly influence the scalability and reliability of our applications, ensuring that our users experience seamless performance even as our data volume and traffic continue to grow.

Key Responsibilities:

- Design and implement scalable RESTful APIs using the Flask framework to support high-traffic web applications.

- Optimize database queries and schema designs in SQL to ensure low-latency data retrieval for complex reporting modules.

- Deploy and manage backend services on AWS infrastructure, ensuring high availability and efficient resource utilization.

- Collaborate with the engineering team to conduct rigorous code reviews, maintaining high standards for code quality and maintainability.

- Troubleshoot and resolve production-level bottlenecks to improve the overall stability of the application ecosystem.

- Integrate third-party services and internal microservices to expand the functionality of our existing product suite.

Required Skillset:

- Demonstrated expertise in building production-grade applications using Python and the Flask framework with 3 to 5 years of professional experience.

- Strong proficiency in writing complex SQL queries and managing relational databases to support data-intensive operations.

- Hands-on experience with AWS cloud services, including EC2, RDS, and S3, for deploying and scaling backend infrastructure.

- Ability to communicate technical concepts clearly to non-technical stakeholders and work effectively in a collaborative, team-oriented environment.

- Strong analytical mindset with the ability to debug complex issues and provide long-term architectural solutions.

- Comfortable working in a hybrid office environment in Bangalore, demonstrating the ability to manage tasks independently while staying aligned with team goals.

- A degree in Computer Science, Engineering, or a related field is preferred, though equivalent professional experience is highly valued.

Hiring for Engineering Manager – Data Engineering

Exp : 10 - 15 yrs

Work Location : Pune WFO

Must Have Skills :

10+ years of experience in Data Engineering.

3+ years of experience leading Data Engineering teams.

Must be a Manager

Strong hands-on experience with Databricks on Azure. 

Strong expertise in PySpark, Spark SQL, Python, and SQL.

Hands-on experience with Delta Lake, Delta Live Tables (DLT), Unity Catalog, Databricks Workflows, and Auto Loader.

Experience designing and building enterprise-scale data platforms.

Strong knowledge of ETL/ELT, Medallion Architecture, and batch & streaming data pipelines.

Software Development Engineer

📍 Bangalore (On-site) · Reporting to the CTO · 2–7 years experience

We're hiring a Software Development Engineer to build the systems that keep real-world operations running - from customer-facing products to the internal tools field teams rely on every morning. If you want your code to matter to people standing in a warehouse or walking a route, not just to a dashboard, read on.

What you'll do

• Design, build, and ship across the stack: backend services, APIs, mobile and web field apps, and operational dashboards
• Build the systems that run daily operations: deployment, attendance, check-in/check-out, work verification, and issue resolution
• Make products work where the network doesn't — offline-first and vernacular-first experiences built for field-heavy, low-connectivity conditions
• Own features end to end, from design discussions to deployment to on-call
• Work shoulder to shoulder with Product, Ops, and field users to solve what's actually happening on the ground
• Contribute to the data pipelines and analytics that power planning, forecasting, and unit economics

What we're looking for

• 2–7 years building and shipping production software
• Comfortable across the stack, or deep in one area and eager to stretch
• A strong ownership mindset — you ship, you debug production issues at odd hours, and you care whether it actually works for the user
• Pragmatic with trade-offs, able to balance speed against quality without losing either
• Bonus: experience building for low-bandwidth, offline-first, next-billion-user contexts

WE'RE HIRING

Forward Deployed Engineer (FDE) – AI Solutions

Location: Mumbai (On-site with Clients) | Salary: ₹30,000 – ₹50,000/month | Full-Time

Position

Forward Deployed Engineer (FDE)

Location

Mumbai (physical presence at client sites required)

Salary

₹30,000 – ₹50,000 per month (entry-level / fresher range, based on skill)

Job Type

Full-time, On-site / Client-facing

Preferred Background

CSE / IT / related engineering graduates

Eligibility

Open to all ages who meet the skill requirement

About the Role

We are looking for a Forward Deployed Engineer (FDE) to work directly at client sites across Mumbai, deploying, customizing, and supporting our AI-powered solutions. This role sits at the intersection of engineering and client relationships — you'll write/adapt code, configure AI systems on the ground, troubleshoot real-time issues, and translate technical concepts into simple language for clients. Ideal for a CSE/IT graduate who is strong in tech, genuinely curious about AI, and enjoys solving problems face-to-face with clients rather than purely behind a desk.

Key Responsibilities

-Travel to client sites across Mumbai to deploy, configure, and customize AI-based solutions

-Debug and resolve technical issues on-site, escalating complex problems to the core engineering team when needed

-Write scripts/code to integrate, adapt, or fine-tune AI tools/models for specific client use cases

-Explain technical concepts and AI capabilities clearly to non-technical stakeholders

-Gather client requirements and feedback, and relay them back to the product/engineering team

-Document deployments, issues, and solutions for future reference

Requirements

CSE / IT / Computer Engineering degree strongly preferred

Solid understanding of AI/ML concepts and tools (LLMs, APIs, automation, Python-based AI tooling, etc.)

Working knowledge of at least one programming language (Python preferred)

Excellent verbal communication skills — comfortable explaining technical topics to clients

Strong problem-solving ability and comfort working independently on-site

Quick learner, adaptable to new tools/tech stacks

Willingness to travel daily within Mumbai for client visits

Open to all age groups — skills and attitude matter more than age

Perks

Travel/conveyance allowance

Direct hands-on exposure to real-world AI deployments

Performance-based growth and incentives

Mentorship from core engineering team

- Design, develop, and maintain full stack web applications using Python (backend) and modern frontend frameworks

- Build and integrate REST APIs; work with databases (SQL/NoSQL)

- Apply AI/ML concepts or tools within applications (e.g., model integration, LLM APIs, data-driven features)

- Collaborate with cross-functional teams on financial/trading platform features

- Write clean, scalable, well-tested code; participate in code reviews

- Troubleshoot and optimize application performance

The impact that you will be making

• Drive end-to-end automation strategy by transforming manual test cases into scalable, maintainable automated suites using the inbuilt framework.
• Ensure seamless integration of automated tests into the CI/CD pipeline, enabling faster releases with improved quality and reliability.
• Enhance the stability and efficiency of regression suites, reducing execution time and minimizing flaky tests.
• Continuously improve and evolve the automation framework, introducing reusable components and best practices for long-term scalability.
• Leverage strong SQL and data validation skills to ensure data accuracy and support faster root cause analysis.
• Bring in performance testing practices using tools like JMeter/LoadRunner to identify bottlenecks and improve system performance under load.
• Contribute to API and end-to-end testing coverage, ensuring robust validation across UI, backend, and integrations.
• Analyze, debug, and troubleshoot automation scripts to improve reliability and reduce maintenance overhead.
• Collaborate closely with engineering and product teams to shift quality left and embed testing early in the development lifecycle.
• Mentor and guide team members, fostering a quality-driven culture and improving overall team capability.
• Drive continuous improvement by adopting new tools, technologies, and innovative approaches aligned with AI-driven and modern testing practices.

What lands you in this role

• Minimum 8-11 years’ hands-on experience in automation testing.
• Experience of working in Python.
• Solid SQL skills - Should be able to write complex queries with ease.
• Experience of working on any testing frameworks such as Playwright, Selenium, Cypress.
• Experience of working on any Performance testing tools like JMeter, Load Runner etc.
• Good to have knowledge on API testing with tools like Postman, Insomnia etc.
• Experience of working in a well-designed CI/CD environment is mandatory.
• Experience in automating test scenarios and integrating them into the CI/CD environment.
• Experience in automating complex web based applications.
• Ability to analyze and troubleshoot scripts.
• Should possess a high ownership mindset.
• Should have strong aptitude, can think independently and possess problem solving skills.
• Ability to learn new technologies and quickly adapt to new situations.
• BE/BTech in computer science or equivalent technical education

What we offer

• An opportunity to develop some of the best enterprise SaaS products to be built out of India
• Opportunities to quench your thirst for problem-solving, experimenting, learning, and implementing innovative solutions
• A flat, collegial work environment, with a work hard, play hard attitude
• A platform for rapid growth if you are willing to try new things without fear of failure.
• Remuneration with best in class industry standards with generous health insurance cover.

Some of our accolades include:

• Ranked as one of America's Fastest-Growing Companies by Financial Times for five consecutive years: 2020-2024.
• Ranked as one of America's Fastest-Growing Private Companies by Inc. 5000 for seven consecutive years: 2018-2024.
• Voted #1 by more than 300 retailers worldwide in the RIS Software LeaderBoard 2024 report.
• Ranked #72 in America’s Most Innovative Companies list in 2023—by Fortune—alongside companies like Microsoft, Tesla, Apple, IBM, etc.
• Forged a strategic partnership with Google to equip retailers with cutting-edge generative AI tools.
• Recognized in multiple Gartner reports, including Market Guides and Hype Cycle, spanning assortments, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications.

SENIOR PYTHON DEVELOPER

Designation: Senior Python Django Developer 

Position: Senior Python Developer

Job Types: Full-time, Permanent

Pay: Up to ₹800,000.00 per year

Schedule: Day shift (On-site)

Supplemental Pay: Performance bonus, Yearly bonus

Ability to commute/relocate:  JP Nagar, Bangalore: Reliably commute or willing to relocate with an employer-provided relocation package (Preferred)

Experience: Back-end development: 5 years (Required)

Job Description:

We are looking for a highly skilled Senior Python Django Developer with extensive experience in building and scaling financial or payments-based applications. The ideal candidate has a deep understanding of system design, architecture patterns, and testing best practices, along with a strong grasp of the startup environment.

This role requires a balance of hands-on coding, architectural design, and collaboration across teams to deliver robust and scalable financial products.

Responsibilities:

• Design and develop scalable, secure, and high-performance applications using Python (Django framework).
• Architect system components, define database schemas, and optimize backend services for speed and efficiency.
• Lead and implement design patterns and software architecture best practices.
• Ensure code quality through comprehensive unit testing, integration testing, and participation in code reviews.
• Collaborate closely with Product, DevOps, QA, and Frontend teams to build seamless end-to-end solutions.
• Drive performance improvements, monitor system health, and troubleshoot production issues.
• Apply domain knowledge in payments and finance, including transaction processing, reconciliation, settlements, wallets, UPI, etc.
• Contribute to technical decision-making and mentor junior developers.

Requirements:

• 5 to 10 years of professional backend development experience with Python and Django.
• Strong background in payments/financial systems or FinTech applications.
• Proven experience in designing software architecture in a microservices or modular monolith environment.
• Experience working in fast-paced startup environments with agile practices.
• Proficiency in RESTful APIs, SQL (PostgreSQL/MySQL), NoSQL (MongoDB/Redis).
• Solid understanding of Docker, CI/CD pipelines, and cloud platforms (AWS/GCP/Azure).
• Hands-on experience with test-driven development (TDD) and frameworks like pytest, unit test, or factory boy.
• Familiarity with security best practices in financial applications (PCI compliance, data encryption, etc.).

Preferred Skills:

• Exposure to event-driven architecture ( 
• Experience integrating with third-party payment gateways, banking APIs, or financial instruments.
• Understanding of DevOps and monitoring tools (Prometheus, ELK, Grafana).
• Contributions to open-source or personal finance-related projects.
•  

Job Summary

We are seeking a highly skilled GCP Data Engineer with strong expertise in Google Cloud Platform (GCP), Python, ETL, and modern data engineering technologies. The ideal candidate should have hands-on experience designing and building scalable data pipelines using BigQuery, Dataflow, Pub/Sub, Airflow, and modern data lake technologies such as Apache Iceberg or Delta Lake.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines on Google Cloud Platform.
• Build and optimize data processing workflows using Python and Google Cloud Dataflow (Apache Beam).
• Develop and manage large-scale analytical data models in BigQuery.
• Implement event-driven data ingestion using Google Cloud Pub/Sub.
• Create, schedule, and monitor workflows using Apache Airflow and Autosys.
• Design and implement modern data lake architectures using Apache Iceberg or Delta Lake.
• Optimize query performance, storage, and compute costs in GCP.
• Ensure data quality, governance, security, and compliance across data platforms.
• Collaborate with Data Scientists, Analysts, and Application teams to deliver scalable data solutions.
• Troubleshoot production issues and continuously improve pipeline reliability and performance.

Mandatory Skills

• Strong hands-on experience with Google Cloud Platform (GCP).
• Proficiency in Python programming.
• Experience in designing and implementing ETL/ELT pipelines.
• Strong knowledge of BigQuery.
• Experience with Google Cloud Dataflow (Apache Beam).
• Experience with Google Cloud Pub/Sub.
• Hands-on experience with Apache Airflow.
• Experience in job scheduling using Autosys.
• Experience with modern table formats such as Apache Iceberg or Delta Lake.
• Strong SQL and data modeling skills.

Preferred Skills

• Experience with Cloud Storage, Dataproc, Cloud Composer, and Cloud Functions.
• Knowledge of CI/CD pipelines and DevOps practices.
• Experience with Docker and Kubernetes.
• Familiarity with Git and Agile/Scrum methodologies.
• Knowledge of data warehousing and dimensional modeling.
• Exposure to streaming and real-time data processing.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
• 4–8+ years of experience in Data Engineering with hands-on expertise in GCP technologies.

Required Experience

• Strong experience in developing enterprise-grade data pipelines using Python and GCP.
• Hands-on experience with BigQuery, Dataflow, Pub/Sub, and Airflow.
• Experience scheduling and monitoring batch workflows using Autosys.
• Experience implementing modern data lake architectures using Apache Iceberg or Delta Lake.
• Strong understanding of ETL best practices, performance tuning, and data optimization.
• Excellent analytical, troubleshooting, and problem-solving skills.

Mandatory Skills

• Google Cloud Platform (GCP)
• Python
• ETL
• BigQuery
• Autosys
• Apache Airflow
• Google Cloud Pub/Sub
• Google Cloud Dataflow (Apache Beam)
• Apache Iceberg / Delta Lake
• SQL & Data Modeling

Key Responsibilities

·      Design, build, and maintain efficient, reusable, and reliable Python automation scripts.

·      Consume, integrate, and manage external services using APIs (CRUD operations, JSON parsing).

·      Read, comprehend, and debug existing code to identify bottlenecks and fix bugs.

·      Interact with databases using SQL to extract and manipulate required data.

·      Maintain source code quality through Git version control and participate in code review workflows.

·      Clearly communicate logic, architectural choices, and technical roadblocks to the team.

Skill Requirements & Competencies

Non-Negotiable Skills

·      Aptitude & Logical Problem Solving: Exceptional ability to break down complex problems. The ability to explain the logic behind your code is strictly required.

·      Core Python Mastery: Deep understanding of decorators (e.g., writing execution time loggers), list/dictionary comprehensions, and advanced string operations. (would be good to know packages such as heapq or equivalent which aids problem solving using pre implemented data structures).

·      Concurrency & Parallelism: Practical experience with asyncio, multithreading, and multiprocessing, including knowing exactly when and why to use each.

·      APIs & Data Handling: Proven experience calling endpoints, parsing JSON data, and working with any standard API framework (e.g., FastAPI, Flask, Django REST).

·      SQL Database Skills: Intermediate ability to write SQL queries to fetch, filter, and manipulate data. NoSQL exposure is a good to have.

·      Code Comprehension & Debugging: Ability to jump into an existing codebase, understand its flow, and efficiently troubleshoot bugs.

·      Strong Communication: Must be able to articulate technical concepts, code, approach etc. clearly to both technical and non-technical stakeholders.

Intermediate Skills

·      Version Control (Git): Competent in creating/modifying repositories, branching, committing, pushing, and managing Pull Requests.

·      Command Line / Scripting: Intermediate proficiency in Bash/Shell scripting for environment navigation and basic OS-level automation.

We are looking for a skilled Python & PySpark Developer with strong expertise in Big Data technologies, Spark, SQL/PL-SQL, and REST API development using Flask or Django. The ideal candidate should have experience building scalable data pipelines, processing large datasets, developing APIs, and working with distributed computing frameworks.

Key Responsibilities

• Develop, optimize, and maintain scalable data pipelines using PySpark and Apache Spark.
• Design, develop, and optimize complex SQL and PL/SQL queries, stored procedures, functions, and database objects.
• Build and maintain RESTful APIs using Flask or Django.
• Develop robust Python applications for data engineering and backend services.
• Process and analyze large-scale datasets using Big Data technologies.
• Optimize Spark jobs for performance, scalability, and reliability.
• Integrate APIs with internal and external systems.
• Collaborate with cross-functional teams including Data Engineers, Data Scientists, and Application Developers.
• Troubleshoot production issues and implement performance improvements.
• Follow coding standards, version control, and CI/CD best practices.

Mandatory Skills

• Strong proficiency in Python programming.
• Hands-on experience with PySpark and Apache Spark.
• Strong SQL coding skills.
• Experience with PL/SQL development.
• Experience in Big Data ecosystem.
• REST API development using Flask or Django.
• Experience in developing and consuming Python APIs.
• Knowledge of data processing, ETL, and distributed computing.
• Experience with Git/version control.

Preferred Skills

• Experience with Hadoop ecosystem (Hive, HDFS, YARN).
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Knowledge of Airflow or other workflow orchestration tools.
• Experience with Docker and Kubernetes.
• Familiarity with Kafka or other streaming technologies.
• Understanding of CI/CD pipelines.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 4–8+ years of experience in Python and Big Data development (can be adjusted based on the role).

Required Experience

• Strong hands-on experience in Python, PySpark, and Apache Spark.
• Extensive experience writing optimized SQL and PL/SQL code.
• Experience developing REST APIs using Flask or Django.
• Experience working with large-scale data processing and ETL pipelines.
• Strong analytical, debugging, and problem-solving skills.

Mandatory Skills: Python, PySpark, SQL Coding, Apache Spark, Big Data, Flask/Django (REST API), PL/SQL, Python APIs.