Top Python Developer Jobs in Gurgaon

12-month paid apprenticeship to write code (Java, JavaScript, .NET, Python), join agile teams, develop APIs and customer-facing apps for iOS/Android/web, perform code reviews, testing, and build web-enabled data collection systems.

Develop and maintain ScienceLogic’s internal developer platform, including Kubernetes environments, CI/CD pipelines, container tooling, and infrastructure-as-code. Collaborate with development teams to understand workflows, enforce software engineering and container best practices, evaluate technologies, and contribute to architecture decisions. The role also involves documenting standards, supporting observability and logging, and implementing DevSecOps practices such as secure build pipelines and compliance automation.

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.

Lead end-to-end quality assurance for monthly Android-based device releases. Mentor test engineers, develop test plans and strategies, and ensure functional, performance, interoperability, and benchmarking coverage. Drive adoption of AI and generative AI tools for test-case and strategy generation. Collaborate across engineering, product, and program teams to integrate testing throughout the SDLC while improving tools, processes, and methodologies.

Own and scale Azure infrastructure, Azure DevOps CI/CD pipelines, security permissions, and DevOps methodology for Microsoft’s silicon front-end CAD organization. Develop Python-based CAD automation and integrations, improve reliability through monitoring and incident response, partner with EDA, Azure, and security teams, drive infrastructure roadmaps, and mentor engineers and interns.

Design, develop, and maintain automated and manual test strategies for web and POS applications. Create test plans, write automation scripts, execute functional, integration and regression tests, track defects, define QA metrics, support release validation, and mentor team members while collaborating with cross-functional stakeholders.

Lead a team to design, build, and operate scalable backend services in Python/Django. Own data schema design and migrations (PostgreSQL, SQLAlchemy, Alembic), implement CI/CD and Git workflows, optimize performance with Redis and Nginx, and collaborate with product and ops to deliver reliable APIs and services.

Lead architecture and technical direction for cloud-native, high-scale SaaS platforms. Design distributed systems, drive platform modernization, mentor engineers, implement scalable APIs and backend services on AWS, and improve reliability, performance, observability, and DevOps practices.

Lead and mentor a team to design, build, and operate scalable Django/Python backend services and REST APIs. Own data persistence (PostgreSQL, NoSQL), schema design and migrations (SQLAlchemy/Alembic). Implement CI/CD and Git workflows, optimize runtime with Redis and Nginx, and collaborate with product and operations to deliver reliable, observable production systems.

Develop and maintain scalable, high-performance Python applications. Collaborate with cross-functional teams to design and ship features, write clean documented code, perform code reviews, and troubleshoot, debug, and optimize existing systems for performance.

Design, deploy, and manage secure, scalable GCP infrastructure; lead on-prem to GCP migrations; implement IaC (Terraform/Deployment Manager); build CI/CD pipelines and automation; optimize cost, performance, and security; troubleshoot infrastructure issues; mentor junior engineers and recommend GCP improvements.

Design, build, and deploy scalable full‑stack applications using Python backends (Flask/FastAPI/Django) and React frontends. Develop cloud‑native solutions on GCP (Cloud Run, BigQuery, Pub/Sub, Vertex AI, Cloud Functions), integrate AI/ML models, optimize performance/security, implement CI/CD, testing, and monitoring, and work with relational and NoSQL databases.

Manage and implement network automation, orchestration, and core Layer 2/3 design for large multi-region enterprise networks. Build IaC and CI/CD pipelines (Terraform, Ansible, Jenkins/GitLab CI), automate cloud networking across AWS/Azure/GCP, enforce perimeter security, deploy telemetry and auto-remediation, troubleshoot packet-level issues, and maintain HLD/LLD and runbooks.

Design, build, and optimize low-latency, scalable full-stack platforms. Integrate generative AI, LLMs, and autonomous agents into web applications. Collaborate with data scientists, develop prototypes, implement WebSocket/GraphQL/gRPC integrations, work with DocumentDB/DynamoDB/MongoDB/RDS, and produce technical documentation and production-ready code.

Design, build, and maintain cloud data lakehouse architectures across AWS/GCP/Azure using VMs, containers, Kubernetes, serverless, storage and databases. Implement SaaS hosting, manage secrets and environment configs, build CI/CD and GitOps pipelines, optimize cloud costs, collaborate cross-functionally, and grow into leadership.

Lead test planning and execution for end-to-end data warehousing and reporting projects. Define test strategy, create test plans/cases/scripts, build and assign a testing team, arrange test environments, perform database and reporting testing, and implement automation using Java/Python. Collaborate on requirements, estimate testing effort and resources, and maintain testing artifacts.

Design and build customer-facing UIs and backend services for web/SaaS products using React, Node.js and Python. Develop microservices, RESTful APIs, ensure DB performance (SQL/NoSQL), implement security (OAuth2, JWT), use Azure cloud services and containers (Docker, Kubernetes), collaborate across teams, write testable code, and document processes.

Develop and maintain full-stack web applications, building responsive front ends and scalable back-end services. Collaborate with product teams, ensure performance, security, and quality through testing and code reviews, integrate cloud services and third-party tools, and stay current with best practices.

Develop and maintain scalable Python applications, collaborate with engineers and data scientists to integrate AI/ML components, implement and test ML models, preprocess and analyze data, document code and best practices, and support team members to deliver reliable software solutions.

Build end-to-end web applications with React frontend and FastAPI backend, design RESTful APIs for auth and user flows, integrate ML models, ensure responsive UI, and maintain CI/CD and GitOps workflows.

Own the architecture and technical direction of large-scale distributed applications. Build secure, scalable Python backend services, contribute to Java services, guide platform strategy, mentor engineers, and establish engineering standards. Improve reliability, observability, automation, developer experience, security, testing, and operational excellence. Use AI-assisted development tools responsibly to increase productivity while maintaining software quality. Collaborate cross-functionally and lead through technical excellence, pragmatic architecture, and strong ownership.

Architect and operate scalable, reliable infrastructure across Kubernetes, AWS, RDS, and distributed microservices. Lead capacity planning, benchmarking, observability, alerting, SLA enforcement, security, CI/CD, and infrastructure roadmap initiatives. Apply AI and automation to improve reliability and developer productivity. Optimize databases and production systems, identify bottlenecks, mentor engineers, and translate business objectives into technical roadmaps. The role requires strong Golang, backend, SRE, distributed systems, database, and cloud expertise.

Architects, implements, and manages enterprise on-premises and cloud storage supporting semiconductor EDA workflows. Responsibilities include performance and capacity monitoring, scalability planning, backup and disaster recovery, security and compliance, documentation, cross-functional collaboration, technical execution, and mentoring. The role requires deep expertise in SAN/NAS platforms, storage protocols, automation scripting, replication, recovery, and high-throughput infrastructure environments.

Develop and execute validation and verification test plans for Solid State Transfer Switch products. Perform functional, electrical, thermal, environmental, endurance, reliability, and safety testing. Design test procedures, fixtures, automation scripts, and data acquisition systems. Coordinate certification testing, analyze failures, perform root cause analysis, prepare reports, support prototype/FAT/customer witness testing, ensure lab equipment calibration, and mentor junior staff.

Lead the Monetization Infrastructure engineering team, provide hands-on technical leadership, ensure high uptime and incident management, collaborate with Finance and Product, drive operational excellence, and champion adoption of AI-assisted SDLC practices.