Top Python Developer Jobs in Delhi

Design, build, and maintain scalable ETL/ELT and real-time data pipelines on AWS. Manage Airflow DAGs, Kafka ingestion, Redshift optimization, data quality checks, API integrations, and cost optimization while collaborating with BI for reporting needs.

Design, implement, and maintain embedded software for microcontrollers and microprocessors. Lead architecture, develop RTOS and bare-metal code (Zephyr/Linux), collaborate with hardware teams, optimize performance and power, test/debug with lab equipment, mentor engineers, and produce technical documentation while contributing to open-source.

Develop RTL for digital blocks, perform lint/CDC analysis and DFT support, assist in writing functional tests and simple UVM components, collaborate on verification and coverage closure, support AMS co-simulation and mixed-signal integration, and work with physical design on synthesis and timing.

Design, develop, and maintain embedded software for microcontrollers and microprocessors using bare-metal and RTOS (Zephyr/Linux). Lead architecture, mentor engineers, collaborate with hardware teams, optimize performance and power, perform testing/debugging, produce documentation, and participate in code reviews and open-source contributions.

Build the AI layer for SigNoz: implement agent orchestration, long-running execution, streaming APIs (SSE), and MCP server integrations to expose observability data to LLM agents. Ship production LLM features, design scalable distributed backends in Go and async Python, and drive projects end-to-end in a remote-first environment.

Lead customer-facing data engineering engagements: design and implement scalable batch and real-time data pipelines and platforms (Databricks, Delta Lake, ClickHouse, Azure). Own solution delivery, optimize performance and costs, build data products for analytics and AI, drive governance and reliability, collaborate across product and customer success, and mentor junior engineers.

As a Software Engineer, you'll build tools, improve APIs, manage QA infrastructure, grasp business needs, and ensure system scalability.

Conduct hands-on exploration of blockchain use cases, build prototypes and tooling, research on-chain ecosystems and protocols, synthesize findings into technical reports, and collaborate with protocol and product teams to inform BNB Chain infrastructure decisions.

Early-career Product Manager in analytics/strategy focusing on behavioral data analysis, A/B testing, funnel diagnostics, and recommendation ranking optimization. Produce strategy docs and PRDs, collaborate with algorithm teams, develop labels/taxonomies, and deliver actionable insights from experiments and data extraction.

Lead end-to-end technical projects converting product roadmaps into reality. Coordinate cross-functional teams, manage timelines, scope, risks, and quality. Oversee Python and React.js development, documentation, testing, and production handover while fostering team collaboration and continuous improvement.

The Staff Data Scientist will lead organisational intelligence efforts, design measurement frameworks, and improve decision-making across Busuu's AI and business initiatives.

The Site Reliability Engineer will provision and manage Kubernetes clusters, build automation tools, debug customer issues, and improve infrastructure reliability.

Work directly with customers to design, prototype, and deploy real-time audio/video and voice AI applications on LiveKit. Architect scalable systems, build integrations and reference implementations, debug production issues, lead technical workshops, and feed customer insights into product and platform development.

Work with customers to design, prototype, and deploy scalable real-time audio, video, and voice AI applications on LiveKit; build integrations, debug production issues, run workshops, and feed implementation insights back to Product and Engineering.

Design, build, and maintain test automation frameworks and scripts. Execute and analyze automated tests, perform regression testing, document issues, and collaborate with developers and cross-functional teams to improve testability and quality in an Agile environment.

Lead product strategy and execution for AI-first sales agents: design autonomous agentic workflows, translate messy pipelines into AI-first UX, drive adoption, ship rapid MVPs, iterate on metrics, and prototype with engineers using code and design tools.

Design, build, and maintain production data pipelines and integrations across applications, databases, and cloud services. Support data architecture, ingestion, embedding workflows for AI, data quality, monitoring, and platform reliability. Collaborate with Full Stack and AI teams to deploy scalable cloud-based data infrastructure and establish data engineering standards and best practices.

Design, build, and deploy scalable, reliable zero-trust security and API-based solutions. Implement features from design through testing and deployment, optimize distributed system performance, fix bugs, and collaborate across teams in an agile environment.

Design, implement, and maintain CI/CD pipelines and cloud infrastructure (FedRAMP-aligned). Monitor and troubleshoot pipelines, collaborate with engineering teams, document processes, and propose DevOps improvements.

Build and maintain AI-powered automation frameworks and developer tools for large-scale distributed systems. Collaborate with engineering and QA to embed LLM-based utilities, optimize SDLC and testing, and research/implement cutting-edge AI solutions to improve Akamai's delivery and edge services.

Provide post-sales technical consulting and integration for Zero Trust solutions: lead deployments, troubleshoot, deliver training, advise customers, collaborate internally, document solutions, and support occasional pre-sales activities.

Lead product quality across the SDLC by reducing defects, driving root-cause analysis, defining automation strategy and quality gates, building automated test frameworks (Playwright, API, integration, performance), integrating tests into CI/CD, enforcing release readiness, and using Claude Code and other AI tools to analyze issues and improve engineering outcomes.

Design, develop, and maintain responsive web applications using modern front-end frameworks (Next.js, React, Angular) and CSS frameworks. Implement server-side logic, database integration, API authentication (OAuth, JWT), and write unit/integration tests. Collaborate in Agile teams with designers and product managers, document APIs, and continuously improve performance, security, and scalability.

Design, operate, and scale cloud-native, multi-tenant SaaS platform infrastructure with emphasis on AWS, Kubernetes, GPU-backed AI workloads, Terraform automation, CI/CD, observability, reliability (SLIs/SLOs), security, disaster recovery, and cost optimization.

Lead integration, verification, and testing of hardware/software network products. Diagnose complex issues, reproduce customer tickets, design and execute manual and automated L2/L3 tests, apply quality standards, mentor team members, and participate in process and tool improvements to ensure product reliability and customer requirements are met.