Top Python Developer Jobs in Gurgaon

Lead and develop a remote team of Python engineers, ensuring their growth and satisfaction while driving high-quality software delivery.

Contract role for a Mainframe z/OS expert (remote, India) with 10+ years experience. Responsibilities include deep z/OS internals knowledge, catalog management, USS/OMVS and USS security, z/OS and ISV software installations, advanced functional and performance testing, troubleshooting, and programming in REXX and Python.

Work across the full stack to design, build, deploy, and maintain large-scale systems for millions of users. Collaborate with product, design, and business stakeholders, write functional and integration tests, and solve ambiguous, high-impact problems with strong CS fundamentals.

Contract Mainframe SMP/E & z/OSMF expert to manage SMP/E and z/OSMF software management, ISV installations, REST API integration, Git and USS/OMVS operations, testing (functionality, robustness, performance), and scripting in Python and REXX for IBM mainframe environments.

Lead manual and automated QA activities including test planning, exploratory and regression testing, automation framework development, cross-browser and performance testing, AI-driven test case generation, defect tracking, and CI/CD integration to ensure scalable, compatible, and high-performing software releases.

Design, implement, and manage Azure infrastructure using IaC; build and maintain CI/CD pipelines; administer and secure Linux servers; automate deployments and configuration management; monitor performance and cost; perform security assessments and compliance; provide production support and documentation; collaborate with development, QA, and operations teams.

Build an AI-native EHR: design, implement, and ship end-to-end features across frontend, backend, data, and infra. Use LLMs and AI tooling, maintain reliability, refactor code, and iterate with users in a fast-moving startup environment.

As a Lead SDET, you will lead automation efforts, influence quality metrics, improve testing processes, and mentor junior engineers. Responsibilities include designing automation frameworks and enhancing CI/CD pipelines.

The Senior Technical Consultant leads customer implementation projects, designs technical solutions, integrates APIs, and provides technical guidance while managing customer relationships.

The Sustaining Operations Engineer resolves complex Linux-related issues, collaborates with teams, participates in communities, and provides escalation support, driving issues to resolution and maintaining operational success.

Canonical is seeking exceptional software engineers for the Linux kernel team, involving collaboration on Ubuntu's kernel development across various hardware. Responsibilities include diagnosing kernel issues, improving automation, and participating in global tech events twice a year.

As a Software Engineer - L3 Support, you will resolve complex Ubuntu-related issues, collaborate with teams, and participate in upstream communities to drive bug fixes and improvements.

As a Software Engineer, you will resolve complex customer issues related to Ubuntu and open source software, participate in upstream communities, and develop and review code across multiple layers of the software stack.

Design, execute, and maintain test plans and cases for web, mobile, and cloud apps. Perform manual and automated testing, API and performance testing, log and track defects, collaborate with engineering and product teams, support releases, and improve QA processes and documentation.

Operate and improve brokerage platform reliability: on-call incident response, define SLIs/SLOs, enhance observability, deploy infrastructure via GitOps, and own PostgreSQL performance, migrations, HA/DR, and mentoring.

As an Automation QA Engineer, you'll design and implement test frameworks for Oracle projects, focusing on automation testing for APIs and web interfaces, collaborating with development teams to identify and resolve defects.

Design, create, and execute functional and regression tests for Adyen payment integrations across eCommerce platforms, maintain automation scripts, perform end-to-end and API testing, support UAT, and collaborate with cross-functional teams for high-quality releases.

Lead design and management of scalable cloud infrastructure, CI/CD automation, Kubernetes orchestration, IaC with Terraform, observability and incident response, security and disaster recovery, and mentor junior engineers while collaborating with cross-functional teams.

Design, build, test, and maintain automated workflows and integrations across CRM, operations, sales, and support using platforms like Zapier, Make, n8n, or Power Automate. Troubleshoot failures, document processes, collaborate cross-functionally, monitor performance, and support automation initiatives to improve efficiency and scalability.

Design and develop scalable backend applications, optimize performance, ensure security, mentor junior developers, and maintain DevOps practices.

Design reproducible coding environments and high-quality reference solutions to train AI. Create and validate complex programming challenges, debug and optimize codebases, refactor legacy systems, document technical decisions, and review technical submissions while collaborating remotely.

Research Engineers will build QA systems for training data, define quality standards, audit datasets, and collaborate with data vendors to enhance data generation processes.

The Data Engineer role involves designing and maintaining ETL pipelines, optimizing data storage solutions, collaborating with teams, and ensuring data accuracy and integrity.

Manage and support AKS-based enterprise data platform infrastructure, administer Apache NiFi, Azure Event Hub and Functions, implement CI/CD with Azure DevOps, automate infrastructure with Terraform/Bicep/ARM, monitor with Azure Monitor and Log Analytics, troubleshoot production incidents, ensure security, capacity planning, and collaborate with data engineering teams.

Own end-to-end UI/UX and frontend implementation: design user flows, craft high-fidelity prototypes, build responsive React+TypeScript interfaces, implement scalable component architecture, integrate with REST/GraphQL APIs, optimize performance, and collaborate with backend and product teams in a regulated life-sciences context.