Top Python Developer Jobs in Delhi

The Data Architect will design and manage secure data platforms using Snowflake in healthcare, focusing on compliance, data models, and analytics.

As a Data Engineer, you will build scalable ETL/ELT pipelines, optimize data structures, and develop impactful Power BI solutions for stakeholders.

As a DevOps Engineer (GCP), you will automate and streamline software delivery processes while managing GCP infrastructure to ensure reliability and scalability.

The DFT Engineer will implement DFT methodologies for SOCs, develop tests for verifying DFT functionality, collaborate with cross-functional teams on ASIC products, and solve testing challenges.

Build and maintain an AI-native EHR: own features end-to-end, ship continuously, use AI/LLMs to increase productivity, ensure reliability, and work across frontend, backend, data, jobs, and infra.

Build and optimize core backend systems enabling user features, real-time data synchronization (event-driven/CDC), advanced caching and connection pooling, and improved observability. Drive architectural and infrastructure upgrades, own deployment and scaling strategies, contribute to open-source, and raise backend engineering standards across the platform.

Design, implement, and lead large-scale generative AI and ML systems (LLM fine-tuning, RAG, agents, Graph ML). Build REST APIs, deploy with Docker/Kubernetes, optimize big-data workflows, mentor engineers, and operate ML services on cloud platforms.

Own and automate end-to-end incentive calculation pipelines, translate business rules into auditable data workflows, build monitoring and reconciliation dashboards, ensure accuracy and auditability across multiple products and countries, and partner with Sales, Finance, and field teams to resolve discrepancies and support escalations.

Build scalable QC systems and validation pipelines for RL training data: define quality standards, design metrics and experiments, audit supplier datasets, partner with vendors to diagnose failures, and integrate learnings into infrastructure and vendor tooling.

Design, implement, and maintain domain-specific benchmarks and infrastructure to run agents/models. Define tasks with subject experts, develop metrics and analyses, validate benchmark relevance to real-world evals, and produce clear technical documentation and reports.

Lead implementation and deployments for frontier AI labs and data vendors: triage technical requests, build tools and one-off pipelines, diagnose ambiguous problems across code/data/environments, coordinate cross-functionally, and turn recurring manual work into reusable processes.

Build and ship AI-driven GTM systems: outbound lead engine, inbound/lifecycle automations, AI-assisted content pipeline, data/reporting layer, and fast production patches to eliminate manual marketing workflows.

Customer-facing Deployment Engineer responsible for installing, configuring, upgrading, and supporting Cellebrite solutions across on-prem, cloud, and hybrid environments. Performs pre/post deployment validation, troubleshooting, automation with IaC, documentation, user training, incident response, system upgrades, and works closely with engineering, product, sales, and customer success. Supports India/APAC customers with up to 50% travel.

As a Sales Engineer, you will support sales teams with technical expertise, deliver presentations, evaluate client needs, and represent the company at events.

Design, implement, and mature a quantitative-leaning enterprise risk program spanning information security, AI, and operational risk. Own the living risk register, run cross-functional risk identification, leverage AI to monitor and analyze risk, support TPRM, produce executive reporting, and embed risk controls and KRIs into live data sources and workflows.

Lead and develop a remote team of Python engineers, ensuring their growth and satisfaction while driving high-quality software delivery.

As a Senior Data Scientist, you will utilize analytical methods and programming skills to derive insights from data, design solutions, and communicate effectively with stakeholders.

Contract role for a Mainframe z/OS expert (remote, India) with 10+ years experience. Responsibilities include deep z/OS internals knowledge, catalog management, USS/OMVS and USS security, z/OS and ISV software installations, advanced functional and performance testing, troubleshooting, and programming in REXX and Python.

Lead end-to-end statistical programming for ADaM datasets and TLFs; implement, validate, and maintain CDISC SDTM/ADaM standards; support regulatory submissions (ISS/ISE) and RTQs; develop reusable macros/functions and metadata specifications; work with RWD, biomarker data, external control arms, survival analysis, and propensity score methods.

Work across the full stack to design, build, deploy, and maintain large-scale systems for millions of users. Collaborate with product, design, and business stakeholders, write functional and integration tests, and solve ambiguous, high-impact problems with strong CS fundamentals.

Contract Mainframe SMP/E & z/OSMF expert to manage SMP/E and z/OSMF software management, ISV installations, REST API integration, Git and USS/OMVS operations, testing (functionality, robustness, performance), and scripting in Python and REXX for IBM mainframe environments.

Support and automate cloud-managed operational systems across regions. Build and maintain scripting, tooling, and automation for provisioning, testing, and validation. Administer Linux test environments, cloud management platforms, VPN/remote access, firewall policies (Palo Alto/ Panorama), GitLab, backups, and monitoring. Troubleshoot multi-layer operational issues and partner with operations, product, and vendors to improve reliability and scalability.

Lead insider risk and data loss investigations from triage to closure, operate and tune DLP across environments, build detections and workflows, partner with HR/Legal/Compliance/IT, mature insider risk program, support audits, and mentor others.

Lead manual and automated QA activities including test planning, exploratory and regression testing, automation framework development, cross-browser and performance testing, AI-driven test case generation, defect tracking, and CI/CD integration to ensure scalable, compatible, and high-performing software releases.

Design, build, and maintain secure, scalable cloud-native microservices and automations on Oracle Cloud Infrastructure using Python. Manage application lifecycles, CI/CD pipelines, and Kubernetes clusters; integrate with Oracle services (Autonomous DB, OIC, ORDS); perform observability, incident response, security reviews, code reviews, and technical documentation. Collaborate with business users, OTE teams, and vendors.