Top Python Developer Jobs in Delhi

Build and own core backend and distributed systems, design and deploy custom multi-agent pipelines and agentic harnesses, optimize data ingestion, search, and developer velocity using AI-native tools, recruit and coach a lean engineering team, and collaborate cross-functionally to ship revenue-impacting software.

Design, implement, and maintain scalable, reliable platform solutions for 6G physical-layer simulators. Collaborate with cross-functional research, simulator, and enterprise teams to deliver AI-enabled workflows, manage Kubernetes/OpenStack infrastructure, CI/CD pipelines, containerization, and monitoring. Drive test strategies, performance analysis, documentation, and mentor technical teams.

Provide L1 technical support for Redis products (cloud and on‑prem), troubleshoot installation, latency and command issues, work with PaaS providers, escalate to internal teams, maintain SLAs, document solutions, and support customers in a 24/7 environment.

Develop and deploy production-grade Generative AI services using LLMs, RAG, embeddings and vector retrieval. Build APIs and microservices with FastAPI, integrate models and enterprise workflows, optimize model accuracy and latency, implement monitoring/logging/evaluation frameworks, and support cloud/Docker deployments.

Serve as regional single point of contact for support operations; manage incident lifecycle and prioritization, ensure SLA compliance, coordinate stakeholders and IT/dev teams, lead L1/L2, drive root cause analysis and continuous improvement using ITIL practices.

Lead design and governance of PUMA's integration fabric and API platform across DTC engineering. Own API gateway strategy (Apigee), GraphQL architecture, event-driven patterns, observability, security, and developer enablement. Drive API governance, integration testing standards, AI-native integration patterns, and mentor senior engineers while influencing cross-organization architecture and vendor integrations to ensure resilient, performant commerce integrations.

The Application Development Analyst develops and maintains features within SaaS platforms, integrates systems, automates workflows, and improves efficiency.

Hands-on growth marketer who will co-own demand generation across UAE and KSA, run experiments and incrementality tests, deploy AI-enabled performance systems, ship automation and AI loops, optimize CAC/LTV, and hire a small senior team while partnering with Product, Data, BD, and Supply.

Design and develop machine learning infrastructure and models, support product teams, build scalable data services, and promote collaboration within a diverse engineering team.

Lead the design and development of robust test infrastructure and tools, focusing on automation, CI/CD improvements, and collaboration with engineering teams to enhance software quality.

Design and implement testing strategies and automation solutions for complex product features, owning the automation roadmap and improving quality across teams.

Lead development and enhancement of software products and web interfaces, design and integrate Linux-based networking applications, implement AI-driven automation, refactor large codebases, improve agile processes, and engage stakeholders through documentation and presentations.

Lead QA for networking and hardware products by implementing advanced testing methodologies, designing and deploying automated test frameworks, and performing end-to-end testing of networking and caching solutions to ensure functionality, reliability, and performance.

Perform exploratory analysis, build dashboards and reports (Tableau), write SQL queries, use Python for data cleaning and predictive models, collaborate with stakeholders, communicate insights, and maintain data models, pipelines, and quality checks.

The role involves owning AI-powered product features, designing LLM systems, making architecture decisions, and connecting engineering work to business outcomes, with a focus on independent ownership and domain understanding.

Responsible for Testing and Validation of Ethernovia's software, including designing test cases, implementing test strategies, and adhering to functional safety practices.

Responsible for developing embedded firmware for Ethernovia's networking devices, focusing on architecture, testing, and integration for safety-critical automotive applications.

Develop software for evaluation platforms used to debug, test, and demonstrate networking devices, focusing on data handling and visualization tools.

Build, deploy, and iterate predictive models and real-time scoring pipelines using behavioral and clickstream data to improve lead quality and campaign optimization. Collaborate with marketing, media buying, and analytics teams to translate business needs into hypotheses, perform exploratory analysis, monitor model performance, and communicate statistically rigorous insights to non-technical stakeholders.

The role involves leading data science initiatives, mentoring team members, deploying models, and ensuring high-quality technical solutions. Responsibilities include coding, architecture design, and client requirement translation.

The Principal eBPF Developer designs and optimizes eBPF programs for networking, observability, and security, guiding best practices in Linux systems programming and collaborating with cross-functional teams.

Manage and maintain SIEM infrastructure, focusing on threat detection and incident response within a Microsoft ecosystem. Responsibilities include monitoring alerts, developing detection rules, and mentoring junior analysts.

Build end-to-end infrastructure for AI agents: design React/TypeScript UIs, implement Python agent harnesses, develop Kubeflow-based MLOps pipelines, fine-tune foundation LLMs (LoRA/QLoRA/SFT/RLHF), deploy and operate services on Kubernetes, integrate agent frameworks, and apply software engineering best practices, testing, and CI/CD.

Design, build, and maintain automation for ITSM workflows and integrations. Script with PowerShell, Python, and JavaScript to connect ServiceNow, cloud platforms, CMDBs, and monitoring tools. Develop bots/modules, monitor automated workflows, optimize SLAs, apply AI/ML for predictive incident resolution and self-healing, and ensure compliance with ITIL and corporate security policies.

The Technical Support Engineer troubleshoots and resolves complex advanced product issues, collaborates with teams, ensures SLA compliance, and mentors junior staff.