Top Python Developer Jobs in Gurgaon

As a Senior Software Engineer (SRE), you will enhance system reliability and performance, solve production challenges, and collaborate with teams on system architecture and tools.

As a Python Developer, you will develop fullstack applications, manage backend systems, and collaborate to drive technical solutions that impact business results.

Write production-grade code to improve performance, reliability, and observability across services. Profile and debug systems, design infrastructure, define SLIs/SLOs, build automation and test frameworks, participate in incident response and on-call rotation, and collaborate with US teams to reduce downtime and optimize costs.

Join the SRE team to write production-grade code that improves performance, reliability, and observability across services. Profile and debug systems, tune databases, design infrastructure, build tooling and test frameworks, define SLIs/SLOs, participate in incident response and on-call rotations, and collaborate with distributed engineering teams to reduce downtime and optimize cost.

Join the SRE/team as a senior software engineer to write production-grade code, profile and optimize services, debug across the stack, improve observability, define SLIs/SLOs, build tooling and automation, participate in incident response and on-call rotations, and collaborate with US engineering teams to increase performance, reliability, and cost efficiency.

As a Senior Customer Engineer, you manage technical relations, design solutions, deploy AI workflows, mentor peers, and ensure system integration for enterprise clients.

Design, build and operate Azure-native DevOps/SRE platforms: CI/CD (Azure DevOps/GitHub Actions), IaC (Terraform, Bicep, ARM), AKS/container orchestration, automation (Python/PowerShell, SDK/CLI), observability, security-by-design, and cost optimization. Maintain runbooks, incident response, and governance.

Design, build, and maintain complex .NET full‑stack solutions; mentor engineers; deliver APIs, data models, and performant platforms; apply cloud native DevOps, automation, and AI/ML tools; collaborate with stakeholders to prioritize roadmaps and reduce technical debt.

Design and implement technical features, collaborate with clients, write production-ready code, ensure quality deliverables, mentor team members, and implement ML models on large scale.

Technical leader designing and implementing scalable, fault-tolerant backend microservices and Agentic AI systems. Leads architecture, cloud infrastructure, data strategies, incident response, testing, and mentorship to deliver production-grade high-throughput solutions.

Develop and maintain internal tools and platforms, write clean maintainable code, fix bugs and add features, collaborate with engineers to prioritize work, and deliver tooling that improves engineering efficiency within months.

The Senior Workato Integration Engineer will develop, deploy, and support integrations for core business operations, focusing on efficiency, profitability, and automation through various platforms and tools.

Responsible for developing core components for AI applications on a new platform, mentoring engineers, and collaborating across teams to shape architecture and delivery.

The Staff Engineer will lead the development of a scalable AI application platform, mentor engineers, and enhance system reliability and performance.

Lead, mentor, and manage an engineering team to develop a new platform for AI applications, ensuring performance and scalability.

Design, build, test, and deploy smart contracts and decentralized applications. Maintain blockchain integrations and backend services, optimize for security and gas efficiency, contribute to architecture and technical strategy, conduct code reviews, mentor junior engineers, and collaborate with product, frontend, and security teams.

As a Senior Site Reliability Engineer, you will enhance system reliability, automate infrastructure, mentor engineers, and implement observability practices.

Lead Full Stack Engineer to guide technical design and delivery across architecture, product, and engineering. Responsibilities include full lifecycle development, building and deploying AI/ML features, cloud-native solutions, CI/CD, mentoring engineers, managing technical roadmaps, and improving scalable processes to meet business outcomes.

Design, build, and maintain scalable full‑stack applications and microservices using .NET and Python. Develop APIs (REST/gRPC), optimize relational databases, implement CI/CD, testing, monitoring, and security fixes. Contribute UI work in Angular, leverage AI tools (Copilot, no/low-code platforms), and deliver production‑ready, high‑quality solutions as an independent contributor.

As a Software Engineer, you will design and build scalable ETL/ELT pipelines using Python and Spark while ensuring data quality and collaborating with Data Analysts and Data Scientists.

Technical Services Engineers solve complex MongoDB issues for customers, advising on architecture and performance while contributing to internal projects and tools.

Build and own internal tools and platforms used across the company, lead technical design and architectural decisions, write high-quality maintainable code, reduce technical debt and reliability risks, and collaborate with engineers and product partners to deliver tooling that improves internal engineering efficiency and velocity.

Lead architecture and delivery of Control Center platform capabilities, evolving it into an AI-agent-ready operations platform. Design MCP registries, AI orchestration, access automation, guardrails, and HITL workflows. Mentor engineers, drive cross-team roadmaps, own backend services reliability, SLOs, observability, incident response, and collaborate with Security and Product to deliver secure, compliant internal tooling.

As a Development Engineer 3, you will design and develop high-performance workflows and troubleshoot systems while collaborating across teams.

Lead a distributed SRE team owning CI/CD platform reliability, automation, observability, and data infrastructure. Provide people management, technical direction, architecture input, operational excellence, and cross-team collaboration while driving automation, monitoring, and AI-assisted workflows.