Top Python Developer Jobs in Gurgaon

Develop and enhance custom software solutions using AWS and modern frameworks. Design scalable, secure, and cost-effective cloud architectures, automate deployments, troubleshoot performance, and implement CI/CD practices. Lead technical decisions across teams, establish software delivery best practices, collaborate with cross-functional agile teams, and mentor junior engineers.

Maintain, troubleshoot, and optimize large-scale enterprise and data center IP networks built on Cisco Nexus platforms. Responsibilities include resolving customer connectivity issues, executing network changes, improving network operations, collaborating with architects and business teams, and developing automation for repetitive tasks. The role requires expertise in routing, switching, firewalls, load balancing, VPNs, network security, and automation using Terraform, Ansible, and Python.

Design, implement, test, and deploy embedded platform software for EV charging systems. Develop Linux BSP and kernel components, device drivers, diagnostics, communication interfaces, distributed control subsystems, and wireless connectivity. Collaborate with hardware and cloud teams on specifications, features, and APIs. Participate in code reviews, continuous integration, automated testing, system-level architecture, and mentoring while independently driving projects from design through completion.

Develop and enhance custom software solutions using AWS and modern frameworks. Design scalable, secure, and cost-effective cloud architectures, automate deployments, troubleshoot infrastructure and application performance, and support CI/CD practices. Serve as a subject matter expert, make team decisions, coordinate cross-functional teams, improve development processes, and mentor junior engineers. The role requires AWS expertise, an AWS certification, and substantial software engineering experience.

Leads software subsystems in a SaaS environment, providing technical mentorship and architectural guidance. Designs, develops, optimizes, and maintains scalable, reliable, secure software systems. Collaborates with product, design, engineering, and executive stakeholders; leads initiatives; improves code quality; addresses complex technical challenges; supports observability, CI/CD, microservices, cloud infrastructure, documentation, and system design.

Manage enterprise backup and recovery environments using Veritas NetBackup and Commvault. Monitor and troubleshoot backup, restore, replication, storage, and performance issues; conduct disaster recovery tests; maintain security controls, capacity, compliance, and platform health. Automate operational tasks with scripting and APIs, support cloud and infrastructure teams, manage ITIL processes, document recovery procedures, and drive continuous improvements across backup resilience, modernization, and operational standardization.

Leads enterprise Google Cloud architecture and delivery, translating business requirements into secure, scalable infrastructure solutions. Designs and implements GCP environments, cloud migrations, disaster recovery, high availability, governance, monitoring, and automation. Manages cloud operations, troubleshooting, incident response, performance, capacity, and cost optimization. Uses Terraform, CI/CD, Python, Shell, and Ansible while collaborating with application, network, security, database, SRE, DevOps, vendor, and executive stakeholders.

Leads end-to-end development and modernization of enterprise web applications using Angular, Java, Spring Boot, and Python. Owns architecture, API design, secure delivery, testing, deployment, production reliability, incident response, and technical debt management. Partners with DevOps, security, product, UX, architecture, data, and support teams while mentoring engineers and establishing engineering standards, quality gates, observability, and scalable operational practices.

Develop and modernize enterprise document-management applications using Angular, Java/Spring Boot, and Python. Build accessible front ends, REST APIs, microservices, integrations, and automation while applying secure development, testing, and coding standards. Partner with DevOps and cloud teams on CI/CD, deployments, monitoring, and operational readiness. Troubleshoot production incidents across application layers, perform root-cause analysis, and deliver corrective actions in collaboration with cross-functional teams.

Lead the architecture, modernization, automation, and performance optimization of SAS solutions on IBM Mainframe z/OS platforms. Design integrations with DB2, IMS, VSAM, COBOL, and JCL; optimize batch workloads and production operations; and ensure security, governance, and regulatory compliance. Partner with business and technical stakeholders to deliver scalable analytics environments, support modernization and cloud integration, mentor teams, and provide architectural guidance for business-critical enterprise systems.

Test enterprise HR integrations and AI-powered chat and voice assistants using automation, manual, and API testing. Design comprehensive test cases, investigate failures, validate REST APIs, manage defects, and collaborate with developers and clients. Build and maintain Playwright-based automation, run tests through CI/CD pipelines, assess AI responses and conversations, and evaluate risks such as prompt injection, data leaks, and PII handling. The role is full-time, in-office in Gurgaon, with shift flexibility required for client time-zone coverage.

Develops and integrates radiating components and passive radiation-pattern structures for multiband base-station antennas. Responsibilities include 3D and 2D electromagnetic simulation, prototype RF measurements, performance optimization, troubleshooting, technical documentation, and supporting the product lifecycle through mass production. The role collaborates with international cross-functional teams and requires relocation to Rosenheim, Germany.

Monitor and maintain production high-frequency trading systems, investigate alerts and incidents, troubleshoot operational issues, support deployments, and improve reliability. Develop Python and Shell/Bash automation tools, maintain monitoring dashboards, optimize workflows, and collaborate with developers and traders to resolve production bottlenecks in a time-sensitive environment.

Leads the architecture, modernization, integration, performance optimization, and governance of SAS solutions on IBM Mainframe platforms. Designs scalable analytics environments integrating SAS with DB2, IMS, VSAM, JCL, and COBOL; optimizes batch processing and production operations; ensures security and regulatory compliance; partners with stakeholders; and mentors teams. The role also supports SAS Viya migration, cloud integration, automation, hybrid architecture, incident management, and large-scale modernization initiatives.

Build and maintain scalable platform services, internal developer tools, cloud-native infrastructure, and AI-enabled workflows. Develop backend services with Python and Java, provision infrastructure using Terraform, and operate solutions across AWS, GCP, or Azure. The role involves system design, distributed systems, automation, monitoring, troubleshooting, cost optimization, CI/CD, DevOps collaboration, and architectural standards. The position follows a four-day in-office and one-day flexible work arrangement.

Supports AWS cloud infrastructure, CI/CD pipelines, monitoring, logging, troubleshooting, deployments, and infrastructure automation. Assists with Infrastructure as Code using Terraform or CloudFormation, containerization with Docker and Kubernetes, and operational scripting in Bash or Python. Collaborates with engineering teams to deliver reliable, scalable environments while developing practical DevOps expertise.

Support cloud infrastructure, CI/CD pipelines, infrastructure-as-code, monitoring, troubleshooting, containerization, and deployment activities. The intern will work with AWS, Docker, Kubernetes, Terraform or CloudFormation, Linux, Git, and shell scripting or Python while collaborating with senior DevOps engineers and engineering teams to improve deployment reliability and scalability.

Develop and maintain scalable backend solutions in Python, collaborate with cross-functional teams, write reusable code, manage and optimize databases, debug and profile applications, and apply best practices for performance and software design.

On-site Python Developer in Gurugram responsible for designing, developing, and maintaining backend systems. Implement OOP principles, optimize PostgreSQL databases, debug, collaborate with cross-functional teams, and deliver scalable, high-quality software using frameworks like Django or Flask and version control (Git).

Leads client-embedded software teams in remediating security vulnerabilities, upgrading dependencies, resolving breaking changes, and applying OWASP code fixes. Uses agentic coding workflows to create and review merge-ready pull requests, works rapidly in unfamiliar codebases, and manages GitHub Actions and pull-request practices. Runs daily standups, teaches client teams, and remains accountable for technical delivery and team output.

Designs, develops, tests, debugs, and maintains high-performance C++ applications and software components. Responsibilities include implementing scalable solutions, optimizing memory and performance, conducting code reviews and testing, troubleshooting defects, documenting systems, and collaborating with architects, QA, DevOps, and product teams. The role also participates in Agile ceremonies and may involve distributed systems, network programming, databases, cloud platforms, embedded systems, and real-time applications.

Leads enterprise network automation and architecture across hybrid, cloud-native, and Kubernetes environments. Designs Network-as-Code, Infrastructure-as-Code, GitOps, and CI/CD solutions using Terraform, Ansible, Python, and Git. Architects routing, switching, overlays, underlays, and high-availability networks; serves as a Tier-4 escalation authority for complex incidents. Drives root-cause analysis, reliability improvements, security automation, and deployment validation for large-scale global infrastructure.

Design, build, and operate high-scale data routing, ingestion, and processing systems for Twilio Segment. Develop scalable distributed services in cloud environments, collaborate with product, design, and engineering teams, communicate technical trade-offs, mentor junior engineers, and participate in on-call support. Improve reliability, troubleshoot production issues, and refine operational tooling while delivering customer-focused features through modern CI/CD practices.

Build and maintain customer-facing dashboard features across frontend and backend using React.js, Spring Boot, and Python. Develop REST APIs, data pipelines, and responsive UIs; participate in design, code reviews, testing, and production support to improve reliability and performance. Collaborate with Product and Design to deliver features and continuously improve developer productivity and application quality.

Support and develop large-scale OpenStack cloud infrastructure across multi-site deployments. Troubleshoot OpenStack services, PXE provisioning, networking, distributed systems, and third-party dependencies. Collaborate with SRE, platform, software, data center, and product teams to improve deployment quality, reliability, and time to market. Contribute Python and automation code while monitoring, investigating KPIs, resolving incidents, and supporting NVIDIA’s global engineering infrastructure.