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, 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.

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

Implement, test, and deliver assigned features within sprints; write clean, well-documented code; participate in code reviews; collaborate with seniors, QA, and product; learn new tools and contribute to improving codebase and processes.

Deliver end-to-end features for microservices-based systems, focusing on reliability, performance, testing, and production troubleshooting. Collaborate with product, QA, and DevOps, mentor junior engineers, adopt AI-assisted development, and improve system stability and delivery practices.

Lead architecture and delivery of scalable, secure web applications; drive AI-first engineering and LLM integrations; write full-stack production code; mentor engineers; promote best practices in microservices, cloud-native, CI/CD, observability, and security.

Build, test, and maintain scalable, high-performance Python services for the healthcare domain. Write clean code, optimize performance and security, debug issues, collaborate with product owners, and document technical solutions.

Lead SOC incident response, threat hunting, and digital forensics using SIEM/EDR/NDR and case management tools. Mentor junior analysts, coordinate client communications during incidents, tune monitoring systems, and document actions for audit readiness.

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.

As a Senior Agentic AI Lead, you will manage the agentic AI domain, engage with customers, oversee the AI lifecycle, and ensure effective data governance and analytics across various teams.

Lead ML architecture and solution design for NLP, computer vision, and generative AI projects. Define technical designs, review implementations, run POCs, guide developers, and ensure scalable, secure, and ethical deployments using cloud, MLOps, and model deployment pipelines.

Lead design and delivery of ML solutions across NLP, vision, and generative AI. Convert business needs into architecture and designs, guide developers, run POCs, ensure scalability, security, MLOps, and responsible AI best practices, and build/deploy AI agents and LLM-based systems.

Senior Solutions Engineer (Mumbai) drives technical pre-sales engagements: mapping customer challenges to Couchbase solutions, running demos/workshops/PoCs, advising on architecture and performance, collaborating with sales, product and engineering, and producing technical collateral and best practices.

Design, build, and maintain scalable backend services and REST APIs using Python and Node.js. Implement microservices, databases, caching, search, async messaging, containerization, testing, and basic security practices while collaborating with product, frontend, QA, and DevOps teams.

Lead and grow an SDET team, define functional testing strategy and infrastructure, champion AI/LLM-driven test generation, maintenance, and analysis, own deployment and CI/CD for production services in containerized AWS environments, perform code reviews, and collaborate with product and engineering to ensure release quality.

Lead end-to-end test strategy for the firewall control plane: design and implement Python-based automation and frameworks, focus on API (REST/gRPC), functional and non-functional testing (scale, performance, security), collaborate with development and support, mentor engineers, and validate integrated customer solutions across networking products.

Design, build, and operate cloud infrastructure using IaC and containers. Implement CI/CD pipelines, automate tasks with scripting, and ensure security (IAM, secrets, network, vulnerability/container scanning). Support observability, compliance, incident management, and on-call duties in high-transaction environments.

Perform manual testing for web and mobile apps, run regression and feature tests on live releases, perform API testing with Postman, provide L1 troubleshooting and client-facing support, and work with ticketing tools. Preferred skills include JMeter performance testing, Selenium automation, and basic Python; travel or ecommerce domain experience is a plus.

Architect and implement OpenBMC-based management for server platforms integrating BMCs, host CPUs, and top-of-rack Ethernet switches. Develop D-Bus services, Redfish APIs, object models, telemetry, security, firmware, and L2 networking capabilities. Build backend abstractions supporting switchdev, SAI, SONiC, DENT, and vendor SDKs. Collaborate across hardware, security, firmware, QA, manufacturing, and networking teams to deliver reusable, testable platform-management architecture.

Own and evolve product metrics, investigate anomalies and conversion bottlenecks, validate hypotheses, and identify growth opportunities. Design, monitor, and analyze A/B tests, including sample sizing, randomization, guardrail metrics, tracking requirements, and actionable recommendations. Partner with Product and functional leads to prioritize high-impact problems, maintain metric definitions and experiment archives, and proactively identify data-quality issues.

Deploy and scale AI voice agents for enterprise customers by building conversation flows, designing integrations, debugging APIs, webhooks, SIP, telephony, authentication, and latency issues, and troubleshooting production deployments. Partner with customer engineering teams and internal Product and Engineering teams to translate feedback into improvements and expand adoption. The role requires strong technical problem-solving, communication, and customer-facing skills.

Administer and architect enterprise Atlassian solutions across Jira Software, Jira Service Management, and Confluence. Configure workflows, permissions, automations, dashboards, and integrations with Microsoft 365, CI/CD pipelines, and business systems. Develop API and scripting solutions, maintain platform stability and documentation, establish governance standards, and advise stakeholders on platform strategy, best practices, security, and continuous improvement.

Evaluates demand and prepares forecasts for business units or product lines. Collaborates with marketing, sales, finance, procurement, and operations to improve supply-demand alignment, forecast accuracy, inventory optimization, and supply chain visibility. Develops dashboards, reports, KPIs, and scorecards; leads forecast review meetings and continuous improvement initiatives; ensures data integrity and compliance; and explores technologies such as IoT and blockchain to improve transparency and agility.

Provides expert Level 3 support for enterprise cloud applications, leading complex diagnostics, incident resolution, root cause analysis, system monitoring, and service delivery. Collaborates with Engineering, DevOps, Product, and Sales teams to improve platform stability, scalability, and client onboarding. Maintains compliance with Incident, Problem, and Change Management practices while supporting commercial and government customers.