Top Python Developer Jobs in Delhi

Analyze EMEA marketing performance across B2B and B2C funnels, identify trends and opportunities, and provide evidence-based recommendations to marketing leadership. Collaborate with Sales, Product, Finance, and customer engagement teams to improve strategy and revenue outcomes. Build reports and presentations that translate complex data into actionable insights, champion advanced analytics and marketing technology, and support innovation across global marketing practices.

Provides customer-facing technical support by owning tickets from intake through resolution, meeting SLAs, troubleshooting data quality and integration issues, documenting solutions, and coordinating escalations. The role also contributes to knowledge management, pipeline monitoring, dashboards, AI agents, and workflow automation. Success requires accuracy, customer empathy, strong communication, systematic problem-solving, and the ability to manage multiple priorities in a remote, fast-paced SaaS environment.

Build and support DevOps capabilities using Kubernetes, AKS, Azure, Git, ARM templates, scripting, CI/CD pipelines, Azure DevOps, GitHub Actions, Ansible Tower, and Terraform. Apply container orchestration, networking, and Agile methodologies to automate and manage cloud infrastructure and software delivery.

Develop, test, and maintain full-stack software (Python/FastAPI) for order, delivery, and assurance systems. Build APIs, implement persistence with SQL/NoSQL, apply CI/CD and cloud-native practices, participate in code reviews, agile ceremonies, and collaborate with product and operations teams to deliver features and fixes.

Lead and coach multiple consultant teams to deliver enterprise-scale capstone projects. Provide technical mentorship, system design guidance, program/project oversight, prioritize work, manage schedules and performance, and collaborate with product and client stakeholders to ensure quality, scalability, and successful delivery.

Coach and mentor software engineering cohorts, run daily labs, provide best-practice guidance, support training curriculum and recruitment via technical interviews, monitor performance, and assist the Engineering Manager with planning and execution of engineering projects and delivery processes.

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.

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.

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.

Architect and build a scalable, production-ready, multi-tenant ecommerce SaaS platform. Define architecture and technical standards, implement backend and frontend (Python/React), design APIs, ensure reliability, security, observability, and drive CI/CD, DevOps, and best practices while mentoring engineering teams.

Design, develop, and deploy generative AI agents and end-to-end ML pipelines. Lead prompt engineering, LLM integration, model training, and productionization, collaborating with customers and stakeholders to deliver AI solutions.

Partner with ecosystem stakeholders to identify growth opportunities, diagnose user and partner pain points, and translate them into product requirements and prototypes. Maintain deep knowledge of BNB Chain (BSC, opBNB, BNB Greenfield), research emerging technologies (e.g., AI tooling), and drive cross-functional alignment to move opportunities from discovery to prototype while tracking outcomes.

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.

Lead a team delivering test automation strategy for carrier‑grade, cloud‑native network platforms. Architect scalable automation frameworks, integrate testing into CI/CD, oversee functional/performance/regression tests, and drive AI/ML‑driven testing and quality metrics while managing team performance and stakeholder reporting.

Design, build, and maintain scalable test automation frameworks and AI-driven tools for carrier-grade, cloud-native network systems. Develop automated test suites in Python/Java/Go, integrate tests into CI/CD, apply ML for intelligent test generation and anomaly detection, analyze test/network data, and collaborate with development and QA teams to ensure quality and faster releases.

Design and maintain scalable test automation frameworks and automated test suites for functional, regression, performance, and end-to-end network testing. Integrate tests into CI/CD pipelines, apply AI/ML for intelligent test generation and anomaly detection, analyze large test/network data sets, and collaborate across development, product, and QA to ensure testability and timely defect resolution.

Design, build, and maintain scalable test automation frameworks and automated test suites for functional, regression, performance, and end-to-end network testing. Integrate tests into CI/CD, apply AI/ML for intelligent test generation and anomaly detection, analyze test/network data, and collaborate with development and QA to ensure product quality and faster delivery.

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.

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 QA for Fiat/BigPay: plan tests, design and execute cases across App/Web/Backend/Admin, maintain Python pytest+k6 automation framework, drive feature and edge-case testing, and collaborate cross-functionally to close quality loops.

Lead statistical strategy and delivery for Phase I-IV clinical trials embedded with a pharmaceutical sponsor. Design analyses, support protocol and reporting activities, oversee programming/CRO work, apply SAS/R (R Shiny)/Python and ML/DL methods for analyses and automation, and mentor junior statisticians.

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

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, 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.

Own architecture and long-term direction of the classification and discovery layer: correlate telemetry into graph topologies, perform entity resolution and deduplication, associate metrics/logs to entities, and drive a streaming-first topology materialization with Memgraph and Kafka.