Top Python Developer Jobs in Gurgaon

Build, operate, and scale enterprise web applications using Python and React.js. Develop REST and GraphQL APIs, asynchronous processing, responsive interfaces, database queries, automated tests, and CI/CD workflows. Own features end to end, improve architecture and observability, modernize legacy systems, resolve outages, reduce technical debt, and mentor engineers. Collaborate with Product and Design in a remote, pod-based organization while leveraging AI coding agents.

Design, build, and maintain reliable backend APIs, services, and systems. Collaborate with stakeholders and engineering teams to deliver scalable features, contribute to technical roadmaps, improve internal tooling and engineering standards, and create technical documentation. The role emphasizes highly available production services, data pipelines, customer-centric development, and fraud prevention or compliance domain expertise.

Develops software, configures and deploys systems, administers Linux and cloud infrastructure, manages containers and CI/CD pipelines, integrates applications and APIs, and troubleshoots issues across application, database, network, and infrastructure layers. The engineer owns technical solutions from investigation through deployment and verification, automates operational tasks, documents systems, and collaborates directly with technical and non-technical stakeholders.

Develop and maintain automation, infrastructure, and monitoring solutions for large-scale distributed compute systems. Troubleshoot complex systemic issues, deploy software safely at scale, participate in on-call rotations, restore service-impacting incidents, and improve observability and reliability. The role requires expert Linux systems administration, configuration management, performance optimization, infrastructure automation, and proficiency with Python or Golang, cloud platforms, and monitoring technologies.

Lead development of foundational platform services, including identity, authorization, search, and API infrastructure. Design scalable architectures, optimize database performance, build internal developer tools, improve observability and frontend reliability, and collaborate with product teams. The role includes writing tested code, conducting reviews, documenting platform capabilities, supporting internal users, and evaluating or integrating AI-assisted development and LLM-powered systems.

Leads compute-focused cloud engineering initiatives involving software engineering, cloud platforms, containerization, orchestration, infrastructure provisioning, monitoring, logging, and cloud security. Provides technical leadership, independently solves complex design problems, guides technical teams, and collaborates cross-functionally to implement scalable cloud solutions and DevSecOps practices.

Owns highly available AWS and EKS platforms, CI/CD pipelines, infrastructure as code, observability, incident response, reliability engineering, and security operations. The role designs resilient cloud environments, manages Kubernetes and Docker workloads, automates delivery and operations, leads major-incident response, establishes SLOs, and coordinates vulnerability remediation. It also mentors engineers and improves production readiness, disaster recovery, and operational efficiency.

Build and operate enterprise integrations across Salesforce, CPQ, contract management, NetSuite, Workato, and cloud data warehouses. Develop event-driven billing automation, MCP servers for internal AI agents, governed APIs, monitoring, security controls, and audit-ready integration processes. Own reliability, incident response, documentation, and on-call coverage while supporting the Lead-to-Cash transformation and other company-wide systems programs.

Develop and maintain Linux-based PCIe platform software, device drivers, hardware control services, management APIs, and validation frameworks. The role includes PCIe topology and configuration, low-level interface support, hardware-software debugging, automated testing, defect analysis, documentation, CI/CD, and customer platform bring-up. The engineer collaborates with hardware, firmware, architecture, validation, and customer engineering teams on semiconductor and FPGA-based platforms.

Designs and implements DFT architectures and specifications for ASIC/SoC products. Responsibilities include scan insertion, ATPG pattern development, compression and clock-control insertion, optimizing test coverage and power, and pre- and post-silicon verification and debug. The role also requires gate-level simulation, failure analysis, scripting, and collaboration across product teams.

Lead the design, development, deployment, and architecture of scalable web applications and APIs using Microsoft technologies, Azure, Angular, GraphQL, and databases. Build cloud-native solutions, manage CI/CD deployments, optimize SQL queries, and ensure application performance, security, and scalability. Collaborate in Agile Scrum teams, translate business requirements into technical designs, mentor junior developers, conduct code reviews, and manage project deliverables.

Own the product’s engineering end to end as the sole initial engineer. Build and operate the AI coaching system, including prompting, conversation state, retrieval, model evaluation, moderation, and crisis safety mechanisms. Develop the Python backend, React Native mobile apps, React website, subscriptions, infrastructure, CI/CD, monitoring, and releases. Translate technical decisions for a nontechnical founder and clinical team while maintaining strong privacy, security, product quality, and responsible AI practices.

Lead and mentor a Southeast Asia engineering team; ensure code quality and testing; drive project progress; define integrations strategy; design, build, and maintain third-party integrations; align engineering efforts with product and leadership.

Own quality assurance for AI-powered backend applications by designing functional and performance test strategies, automating APIs with Java and RestAssured, validating data across APIs and databases, and conducting JMeter performance testing. Build CI automation pipelines, monitor applications using Kubernetes and AWS, manage defects, perform root-cause analysis, and validate AI/ML outputs. Collaborate across teams to prepare test data and improve testing frameworks and reporting.

Design, build, and maintain automated and exploratory tests for web and mobile apps. Create test plans, UI/API automation, compatibility and performance testing, perform root-cause analysis, improve test coverage, and develop testing tools and infrastructure to ensure product stability and user-focused quality.

Build scalable Python backend applications, REST APIs, asynchronous services, and database-driven systems. Responsibilities include designing schemas and optimizing SQL queries, integrating frontend and third-party systems, implementing security and testing, containerizing applications with Docker, and supporting deployment, monitoring, scalability, and reliability. The role also involves performance tuning, collaboration with UI teams, and code reviews.

Designs and delivers end-to-end automation solutions for Lilly’s global Finance organization. Responsibilities include assessing opportunities, developing and testing software, creating architecture and test documentation, supporting UAT and integrations, troubleshooting production issues, resolving defects, and assisting with QA, audits, migrations, and risk mitigation. The role uses Python, PySpark, TypeScript, PostgreSQL, AWS, Microsoft Fabric, SAP, and other APIs, while collaborating with finance, technology, analyst, and business teams.

Manage an operations team supporting SaaS Kubernetes applications across OCI and AWS. Lead incident response, ticket triage, technology rollouts, troubleshooting, operational SLA improvement, automation, and infrastructure engineering. Mentor Operations Engineers and collaborate with architects, stakeholders, Engineering, and Client Services. The role requires extensive experience with cloud environments, large-scale .NET applications, Kubernetes, Terraform, automation, operating systems, containers, performance analysis, and full-stack troubleshooting.

Build, deploy, and maintain customer-facing production software for frontier AI labs. Develop full-stack applications with React, TypeScript, and backend technologies; translate customer requirements into scalable solutions; and improve reliability, performance, and maintainability. Collaborate with engineering, research, product, operations, and globally distributed teams while contributing to customer deployments and the growth of Handshake AI’s engineering organization in India.

Build and deliver scalable SaaS features for government agencies using full-stack technologies including ReactJS, TypeScript, GraphQL, and NodeJS. Responsibilities include translating business requirements into technical solutions, writing maintainable software, debugging complex issues, improving engineering processes, mentoring junior engineers, and evaluating emerging technologies. The role also involves AI-driven user experiences, workflow automation, observability, and event-driven architecture.

Design and develop scalable data-intensive applications and cloud solutions using RDBMS, SQL, Python, and Google Cloud. Build data pipelines and integrations with Spanner, Datastream, Dataflow, and CDC. Create data models, optimize production code, manage Git workflows and CI/CD releases, and apply software engineering practices for security, scalability, testing, and observability. Collaborate with architects, engineers, and business teams to deliver reliable technical solutions.

Test insurance and reinsurance risk-modeling software in an agile environment. Responsibilities include analyzing requirements, creating and executing test plans, automating test cases, debugging issues, maintaining acceptance and regression repositories, documenting defects and test artifacts, tracking results, communicating status, supporting product and development teams, improving QA processes, and training new hires.

Supports Zoho application configuration, customization, automation, and development using Deluge. Assists with workflows, integrations, data migration, dashboards, documentation, testing, and translating client requirements into technical solutions. Collaborates with business analysts, consultants, and project managers while gaining practical experience through training and live implementation projects.

Develop and support enterprise software, APIs, workflow automations, AI agents, data integrations, and cloud solutions. Build production-ready applications using .NET, JavaScript frameworks, Python, Azure, LLMs, retrieval systems, and agent frameworks. Translate business needs into secure technical solutions while implementing responsible AI, privacy, cybersecurity, governance, testing, CI/CD, observability, and infrastructure automation. Collaborate with Legal, technology, and business stakeholders in Agile teams to deliver and continuously improve transformation initiatives.

Develop and support enterprise software, APIs, integrations, workflow automations, cloud solutions, and AI-agent applications. Translate business needs into secure, scalable products while implementing responsible AI, privacy, cybersecurity, data governance, and audit controls. Build LLM solutions using Python, retrieval-augmented generation, vector databases, tool calling, and multi-agent frameworks. Contribute to Azure cloud engineering, DevOps, CI/CD, infrastructure automation, Agile delivery, documentation, and cross-functional stakeholder collaboration.