Top Python Developer Jobs in Delhi

Design, build, and operate distributed platform infrastructure powering notebooks, jobs, apps, model serving, and AI agents. Own container pools, scaling, routing, RBAC, billing, observability, and secure networking across regions and clouds. Lead cross-functional initiatives, mentor engineers, share on-call duties, and improve reliability, security, and cost-efficiency.

Lead design, delivery, and operational support of large-scale cloud-native data platforms (Snowflake, AWS, Azure). Architect solutions, mentor engineers, manage multiple customer accounts, optimize performance, automate operations, and present technical recommendations to executives.

Lead design and implementation of backend services and distributed systems for real-time AI automation. Build scalable, observable microservices, streaming data pipelines, and async event-driven architectures. Collaborate across frontend, product, and DevOps to ensure performance, reliability, and seamless integration at scale.

Work with customers and the SF product team to gather requirements and implement end-to-end AI solutions. Normalize, transform, visualize data, build integrations with external APIs, and deliver practical automation and product feedback. Role is customer-facing and requires technical problem-solving and fast execution.

The Technical Manager will lead the integration of generative AI in applications, overseeing development, ensuring compliance, and managing projects while collaborating with stakeholders.

The Software Engineer will design and develop innovative software applications, collaborate with cross-functional teams, ensure software quality, and maintain documentation, while embracing agile practices.

As a Software QA Engineer, you'll ensure the quality of software products through comprehensive testing, collaboration with development teams, and implementing QA best practices in a DevOps environment.

The Software Engineer will design, build, and maintain full-stack applications, focusing on Python FastAPI backend and React/Next.js frontend, ensuring integrations and API connectivity across enterprise systems while adhering to engineering standards.

Design, develop, test, deploy and maintain data-centric software and ETL/ELT pipelines. Ensure data architecture alignment, data modelling, integration, transformation and delivery across data platforms. Implement CI/CD, configuration management, troubleshoot and upgrade systems, document functionality, participate in DR tests, mentor team members, and support quality assurance and operational feasibility in an enterprise environment.

Lead architecture and engineering for multi-agent LLM systems: design orchestration, build reusable agent components, set CI/CD and deployment standards, evaluate LLM providers, mentor senior engineers, and produce operational runbooks and documentation for agentic AI deployments.

Lead architecture and engineering for multi-agent LLM systems, build agent components and orchestration pipelines, set engineering standards, mentor senior engineers, evaluate LLM providers, and produce operational runbooks and deployment patterns for client implementations.

Design, build, and optimize ETL pipelines and data warehouses using SQL, AWS Glue, and S3. Investigate and resolve data issues, develop Python-based solutions and small web apps, and own requirements, design, and end-to-end delivery for change requests.

Build and productionize quantitative models and ML pipelines for equity research. Source and engineer financial features, develop predictive models, collaborate with analysts to translate methodologies, maintain data pipelines, and document model assumptions to institutional standards.

Ownership of platform reliability and incident response across cloud infrastructure. Improve observability, CI/CD pipelines, deployments, developer experience, and operational tooling. Act as primary on-call platform expert, collaborate with product teams, and run postmortems to raise platform reliability.

Design, build and deploy AI agents, automation workflows and system integrations using Azure AI, OpenAI and Microsoft Power Platform. Automate business processes, create dashboards and data pipelines, integrate Microsoft Business Central/SharePoint/365 with third-party systems, and lead projects from requirements through deployment and user training.

Lead design and implementation of network-as-code and large-scale SDN/container networking. Build CI/CD pipelines, automate security and traffic policies, validate network state, troubleshoot complex routing and overlay issues, and drive technical strategy and documentation across global, multi-tenant cloud and bare-metal environments.

The IDM T3 Specialist will solve complex IDM service issues, perform maintenance tasks, monitor services, mentor juniors, and participate in upgrades.

Lead security assessment and testing for business-critical systems: gather threat intelligence, define and execute assessment strategies, validate security and privacy controls, model threats, execute payloads to verify vulnerabilities, report findings, and advise stakeholders on remediation. Support red and purple teams and collaborate across InfoSec and IT teams.

Build and scale an AI-powered stock research platform: design data pipelines ingesting SEC and market data, develop backend APIs, implement semantic search with embeddings and vector DBs, improve production reliability and performance, and own features end-to-end from design through deployment and monitoring.

Lead design and production of face recognition and biometric CV systems. Build, train, optimize models (PyTorch/TensorFlow/JAX), own end-to-end ML pipelines (Airflow), ensure fairness, deploy low-latency inference on AWS, and mentor engineers.

Design, deploy, and operate large-scale distributed systems; manage Kubernetes, Istio, and Linux environments; automate workflows with Go/Python/shell; build observability with Prometheus/Grafana/Loki; troubleshoot networking, storage, and performance; participate in on-call rotations and postmortems; collaborate with AI/ML teams to ensure infrastructure readiness for model training and data pipelines.

Lead design, administration and development of HubSpot and Clio ecosystems. Build integrations, custom objects, workflows, automations, APIs/webhooks and custom code. Manage data migration, deduplication, governance, dashboards, reporting, permissions, troubleshooting and documentation across Sales, Marketing and Service processes.

Design and architect cloud-native data platforms and analytics ecosystems (including lakehouse and data mesh). Lead discovery workshops, translate requirements into scalable secure solutions, advise clients, support presales/RFPs, guide implementation teams, and promote standards, governance, and reusable assets across Data & Analytics and AI projects.

Lead design and architecture for accounting and API services, deliver enterprise-grade, secure, and scalable systems, mentor and manage junior developers, own production monitoring and incident resolution, and collaborate with product, UX, and QA to meet timelines and quality standards.

Support design, integration, verification, and testing of hardware, software, and systems. Develop and execute test plans and automated scripts, report defects, build AI-assisted verification frameworks, create data pipelines and dashboards, and maintain test environments for optical networking platforms.