Top Python Developer Jobs in Delhi

As a Cloud and Observability Engineer, you'll ensure seamless migration of customer monitoring infrastructure, create extensions, validate alerts, and provide training support.

Lead initiatives to drive significant revenue growth while owning customer pipelines and ensuring data quality and operational efficiency. Manage teams and collaborate with stakeholders across various departments for project advancements.

Successful candidates will design, build, test, and maintain applications for clients while receiving training and support in technology roles.

Successful candidates will undergo a 6-12 week training program and then work on designing and maintaining technology solutions for client companies while receiving ongoing support and training.

The Senior SRE Engineer will ensure the reliability of microservices, manage incidents, and collaborate on automation, security, and infrastructure projects while participating in a 24/7 on-call rotation.

The Senior Financial Analyst in FP&A will oversee reporting, budgeting, and forecasting while collaborating with senior management. This role focuses on providing financial insights and data modeling to support strategic decision-making.

Join the Finance Analytics team as a Senior Data Analyst to drive FP&A initiatives through data analytics, reporting, and AI-driven automation, collaborating with global stakeholders to deliver insights and support financial planning processes.

As a Partner Deployed Engineer, you will enable Global Systems Integrators to deploy and scale AI solutions, leading technical training and supporting complex integrations while building strong relationships with partners.

This role involves ensuring product quality for AI workflows through testing strategies, debugging, and building QA processes to enhance software performance.

The Senior Full Stack Engineer will architect Java microservices, develop React components, automate tasks with Python, and enhance system reliability and observability while mentoring peers.

Lead end-to-end customer data integration and migration projects using SQL, ETL, and scripting. Act as technical advisor, design tailored solutions, manage 10–15 projects, document requirements, mentor juniors, and collaborate with government stakeholders and cross-functional teams to improve and automate data workflows.

You will implement scalable services, write maintainable code, participate in reviews, and improve automation and operational reliability.

Design, build, and maintain REST API integrations and automation tooling for enterprise MDM platforms. Support provisioning, firmware management, eSIM/carrier workflows, and internal middleware/dashboard services for a 10,000+ Android and iOS device fleet, collaborating with IT and vendors on integrations and migrations.

Operate and own model lifecycle for defence and strategic deployments: design serving infra, CI/CD for model updates, monitoring/observability, evaluation/A-B testing, containerised serving for edge and air-gapped environments, collaborate on eval pipelines, create runbooks, and lead incident response for production model failures.

Own end-to-end deployment of Sarvam's full AI stack in on-prem, air-gapped, and classified client environments. Act as technical SPOC from scoping to steady-state, diagnose integration and inference failures, manage deployment pipelines and model serving, drive adoption via training/documentation, and feed field learnings back into product.

Deploy alongside clients to transform heterogeneous multimodal data into semantic structures for AI reasoning. Design ontologies, segmentation, embedding and retrieval strategies, collaborate on ingestion pipelines, evaluate retrieval and reasoning performance, and translate insights into product and engineering signals.

Design, build, and operate terabyte-scale data storage and ingestion platforms for on-premise and air-gapped AI deployments. Implement indexing, partitioning, query optimisation, pipeline orchestration, observability, capacity planning, and infrastructure automation while collaborating with data scientists and product teams.

Design, build, and maintain backend APIs and services for a real-time supply chain visibility platform. Own system architecture, real-time event ingestion, data normalization, ML integration, monitoring, and production debugging while collaborating with Product and Data Science to deliver scalable, high-availability features.

Design, build, test, and maintain responsive front-end and back-end applications; develop APIs, databases, and security settings; debug and optimize software; support mobile-responsive features; write technical documentation; collaborate with data scientists/analysts and maintain the HRMS.

Design, build, and maintain scalable cloud-based ETL/ELT data pipelines (Python, PySpark, SQL, Snowflake) supporting P&C insurance pricing, rating, underwriting, and actuarial analytics. Collaborate with actuaries, data scientists, analysts, and cloud engineers to deliver reusable data frameworks, batch/incremental ingestion, data quality, and transformations for GLM and predictive models.

Lead the design and development of scalable full-stack web applications and distributed systems, guiding engineering teams and ensuring best practices in software development.

Lead and deliver end-to-end AWS data engineering solutions: design, build, and optimize data pipelines, lakes, and warehouses; implement serverless and streaming architectures; mentor engineers; ensure quality, scalability, cost-efficiency, and CI/CD for enterprise data platforms.

Design, build, and scale AI capabilities and services for a multi-tenant SaaS platform. Implement LLM/RAG solutions, deploy models, integrate data pipelines and datastores, ensure reliability, mentor engineers, and collaborate across teams to deliver production-grade, cloud-native AI systems.

Work as a fullstack intern building and maintaining web applications, REST APIs, and backend services using Node.js, TypeScript, and Python. Contribute to frontend improvements, database work with PostgreSQL, debugging, testing, code reviews, documentation, and deployments while learning from experienced engineers.

As an Operations Engineer, you will manage HPC networking, monitor and debug InfiniBand and Ethernet fabrics, and support fabric bring-up while enhancing operational tools and runbooks.