Top Python Developer Jobs in Gurgaon

Develop and maintain scalable Python backend applications using FastAPI, Django, APIs, microservices, databases, asynchronous processing, and event-driven architectures. Design efficient solutions, optimize performance, write automated tests, implement secure and maintainable code, and contribute to CI/CD deployments. Collaborate with product and engineering teams, participate in requirements gathering, analyze risks, estimate work, improve coding standards, and guide team members.

Lead and mentor a development team while overseeing Python application and API development. Design scalable services using Flask, FastAPI, or Django; implement Docker-based workflows; conduct code reviews; and resolve complex technical issues. Apply data science, classical machine learning, and LLM techniques to deliver solutions. Collaborate cross-functionally to prioritize work and ensure timely delivery while improving engineering practices and team productivity.

Leads technical delivery for IBM i and Power Systems managed services and projects. Responsibilities include security, performance optimization, patch and PTF management, upgrades, migrations, automation, high availability, disaster recovery, infrastructure architecture, and client advisory work. The role also supports modernization, managed services, pre-sales solutioning, vendor coordination, and client-facing execution planning.

Designs, builds, and operates AWS-focused cloud network infrastructure across multi-cloud and hybrid environments. Manages VPCs, VNets, connectivity, routing, DNS, load balancing, security controls, and on-premises integrations. Develops Terraform-based Infrastructure-as-Code, troubleshoots complex multi-region networking issues, and supports scalable cloud deployments. Requires extensive AWS networking experience, hybrid architecture expertise, core networking protocol knowledge, and Terraform proficiency. Azure and GCP experience, automation, and enterprise networking backgrounds are preferred.

Owns end-to-end platform architecture across backend, frontend, AI services, data, cloud infrastructure, security, observability, and integrations. Designs scalable microservices using Java and Spring Boot, guides AI and frontend development, establishes CI/CD and architecture standards, and leads HRMS/ATS integrations. Represents engineering in client and pre-sales discussions, translates requirements into technical solutions, and mentors engineers across multiple teams.

Designs, deploys, operates, and troubleshoots ultra-low-latency network infrastructure for quantitative trading. Responsibilities include exchange and market-data connectivity, data-center and colocation networking, multicast and routing, PTP synchronization, performance monitoring, hardware installation, production changes, documentation, incident analysis, and automation using Python, Bash, or Ansible.

Develop and maintain scalable, multi-process Python software for IT monitoring. Responsibilities include refining requirements, implementing features in Python, PHP, and MySQL, troubleshooting performance issues, writing unit tests, reviewing code, demonstrating functionality, and contributing to reliable, high-performance systems. The role also involves working with Product Management and applying CI/CD, DevOps, Agile, and software lifecycle practices.

Build and scale automated testing frameworks for web applications, REST APIs, and embedded software communication interfaces. Integrate automated tests into GitLab CI/CD, manage requirements traceability in Jira and Jama Connect, conduct code reviews, and configure Verification and Validation environments. Collaborate with engineering teams to improve product testability and delivery processes while maintaining regulatory documentation. The role includes hybrid work and approximately 20% travel.

Build and maintain automated testing frameworks for web applications, REST APIs, embedded software, and communication protocols. Integrate test suites into GitLab CI/CD pipelines, manage requirements traceability in Jira and Jama Connect, conduct code reviews, and configure Verification and Validation environments. Collaborate with distributed engineering teams to improve product testability and continuous delivery. The role also involves validating interfaces, databases, hardware-software integrations, and regulatory documentation.

Prove correctness of design blocks, IPs, and SoC components using formal verification methods. Develop test plans, implement formal verification techniques, experiment with formal tools and flows, and collaborate with hardware design and verification teams to achieve quality and performance goals.

Lead customer-facing technical implementations for Fortune 500 clients. Discover and optimize third-party risk and compliance processes, configure workflows, forms, logic, scoring, approvals, integrations, and data flows in Certa Studio, and debug cross-system issues. Own project governance, testing, cutover, go-live, hypercare, and handoff. Use production LLMs and scripting to build solutions, identify platform limitations, and create reusable templates and accelerators.

The Site Reliability Engineer will design scalable infrastructure, automated deployment pipelines, monitoring, and alerting systems. Responsibilities include troubleshooting production incidents, participating in on-call rotations, maintaining systems, improving security and compliance, optimizing reliability and efficiency, and mentoring junior engineers. The role requires collaboration with development and cross-functional teams, technical communication, infrastructure automation, and expertise in distributed systems, cloud platforms, and networking.

Build and ship software rapidly within an advanced technology team. Responsibilities include working across TypeScript/Node.js, Go, and Python; modifying unfamiliar codebases; writing reliable CI tests; publishing and versioning CLIs, SDKs, or packages; and debugging integrations involving third-party APIs, external services, and CI runners.

Build and improve reliable, scalable distributed content delivery systems. Define SLIs and SLOs, enhance monitoring and alerting, analyze performance data, resolve complex incidents, automate operational tasks, and participate in architecture reviews. The role requires scripting, Oracle SQL analysis, Unix/Linux expertise, and experience with observability tools including Prometheus, Grafana, ADBMS, and Datadog. Collaboration with product and cross-functional teams is central to ensuring high availability, performance, and resilience.

Seeking a Site Reliability Engineer to support real-time distributed environments, perform capacity planning, and manage application migrations. Candidates should be knowledgeable in UNIX/Linux, networking, SQL, and scripting with Python.

The Site Reliability Engineer will provide support and diagnose issues within a real-time, distributed environment, focusing on large-scale application and infrastructure management, with basic required skills in UNIX/Linux, networking, SQL, and scripting languages.

Own and improve cloud infrastructure, Kubernetes platforms, Infrastructure as Code, CI/CD, GitOps, observability, security, reliability, and cost efficiency. Build automation and self-service tooling, lead complex production incident investigations, improve resilience and disaster recovery, evaluate architecture, and mentor engineers. The role requires autonomous platform ownership, strong systems judgment, and thoughtful use of AI-assisted engineering tools.

Entry-level QA trainee responsible for creating and executing test cases, performing functional, regression, smoke, sanity, and integration testing, documenting defects, retesting fixes, and validating applications across browsers and devices. The role involves collaboration with developers and analysts, test documentation, and learning API, database, and automation testing using modern QA tools.

Designs and executes functional, regression, integration, UI, and API testing; develops automation frameworks; tracks and analyzes defects; integrates tests into CI/CD pipelines; validates production issues and hotfixes; collaborates with developers on fixes; participates in design reviews; maintains QA documentation; and improves testing processes, coverage, reliability, and release confidence.

Develop interactive browser-based 3D applications using Three.js, JavaScript, WebGL, and GLSL. Work with 3D models, meshes, STL files, transformations, scene graphs, and UI interactions. Optimize performance and memory, develop Python computational geometry algorithms, and support image processing and computer vision capabilities. Preferred work includes WebGPU, REST APIs, Azure Functions, serverless Python, OpenCV, and scikit-image.

Develop interactive browser-based 3D applications using Three.js, JavaScript, WebGL, and GLSL. Work with 3D models, meshes, STL files, scene graphs, transformations, and UI interactions. Optimize performance and memory, develop Python computational geometry algorithms, and support image processing, segmentation, feature extraction, and measurements. Collaborate on testing and technical documentation.

Supports and operates NVIDIA’s large-scale on-premises and cloud network infrastructure in a 24/7 global operations environment. Responsibilities include monitoring alerts, resolving incidents within SLAs, troubleshooting network issues, managing IP infrastructure and datacenter interconnects, coordinating vendors, implementing upgrades and capacity expansions, improving operational workflows, and documenting best practices. The role requires extensive networking protocol knowledge, cloud experience, automation exposure, and strong incident-management and communication skills.

Lead the architecture and implementation of enterprise integrations using Workato and APIs, ensuring scalability and security while mentoring engineers and improving integration standards.

The Senior Software Engineer will work on building and operating scalable backend services, APIs, and infrastructure while collaborating closely with customer engineering teams to resolve real-world challenges in enterprise data systems.

Build and automate cloud cost optimization and governance across AWS and GCP. Analyze billing and usage, identify and implement savings, maintain cost attribution, create reporting and anomaly detection, and write Python, Terraform, and Lambda automation. Partner with Engineering, Finance, Product, and leadership on architecture tradeoffs, forecasting, budgeting, and cost accountability.