Top Python Developer Jobs in Gurgaon

Enable SRE teams to deliver end-to-end business observability with Dynatrace: integrate custom business metrics via Python, design business-centric dashboards, apply AI-based root cause analysis, monitor SAP BTP and Kubernetes, and coach SREs. Deliver optimized Dynatrace setups, production-ready scripts, dashboards, alerting rules, and documentation.

Build and operate reliable, secure, and scalable CI/CD platforms, cloud infrastructure, and observability solutions. Automate deployments, manage Kubernetes and Jenkins pipelines, integrate build tools, and use monitoring/incident tools to support large-scale systems.

Designs and maintains scalable cloud infrastructure for cloud-native applications. Develops CI/CD pipelines, infrastructure-as-code, observability, monitoring, and automation solutions. Leads incident response, troubleshooting, root-cause analysis, and post-mortems while improving reliability, performance, security, and availability. Collaborates with development teams on secure, scalable application practices and supports compliance audits.

Designs and maintains scalable cloud infrastructure across GCP, AWS, and Azure; develops CI/CD pipelines; manages infrastructure as code, containers, monitoring, logging, and alerting. Leads incident response, root cause analysis, postmortems, security compliance, and operational automation. Collaborates with development teams on reliability and scalability, troubleshoots production systems, and mentors junior engineers.

Design, build, and maintain scalable cloud infrastructure and CI/CD pipelines. Monitor and optimize reliability, performance, and availability; lead incident response and root cause analysis; implement infrastructure as code and observability solutions; automate operational tasks; collaborate with development teams on secure, reliable applications; and support security compliance and audits.

Designs and maintains scalable cloud infrastructure across GCP, AWS, and Azure; builds CI/CD pipelines; manages infrastructure as code; develops observability solutions; leads incident response and root-cause analysis; automates operational tasks; optimizes reliability and performance; and supports application security, compliance, and audits.

Designs and maintains scalable cloud infrastructure across GCP, AWS, and Azure; builds CI/CD pipelines; manages infrastructure as code; develops observability solutions; monitors and optimizes reliability; leads incident response and root-cause analysis; automates operational tasks; collaborates with development teams on secure, reliable systems; ensures compliance; and mentors junior engineers.

Designs and maintains scalable cloud infrastructure across GCP, AWS, and Azure; builds CI/CD pipelines; manages infrastructure as code, containers, observability, and automation. Leads incident response, troubleshooting, root-cause analysis, and postmortems while improving system reliability, performance, availability, and security. Collaborates with development teams on cloud-native application reliability and participates in compliance audits.

Design and implement end-to-end automation frameworks and testing strategies for complex frontend and backend features. Own automation roadmaps, improve test coverage and reliability, and build functional, performance, resiliency, and security testing integrated with CI/CD. Develop AI-assisted and agentic QA workflows, scalable testing infrastructure for distributed and cloud-native systems, observability-driven validation, and predictive quality tooling. Collaborate cross-functionally with engineering, product, platform, and QA teams while mentoring other engineers.

Designs and executes manual and automated testing for optical networking systems, including DWDM, OTN, Ethernet, NBI interfaces, and system security. Develops test plans, automation frameworks, protocol-based test scenarios, and continuous testing practices. Translates requirements into qualification deliverables, evaluates microservices and containerized operating systems, tracks defects, and collaborates with cross-functional teams to prioritize testing and accelerate reliable product releases.

Own the architecture and delivery of Leena AI’s multi-tenant Workday integrations and AI agents. Design secure authentication, data access, API actions, eventing, governance, and reusable connectors across Workday modules. Translate customer business processes into agent tools and guarded workflows, partner with Product and Engineering on roadmap and technical specifications, support customer implementations, establish deployment standards, and mentor technical teams. The role also leads customer discovery, architecture reviews, Workday security setup, production observability, and integration resilience.

Develop and lead architecture for a scalable AI application platform. Design, implement, test, debug, and optimize distributed systems and cloud services, while improving performance, scalability, reliability, and developer experience. Collaborate across research, product, design, and engineering teams; contribute to code reviews and development practices; mentor engineers; and own complex projects from problem identification through delivery.

Design, develop, and maintain enterprise-grade full-stack/backend systems; ship production-quality code to production; interact with customers and industry leaders to shape product direction; solve complex AI-native problems in the insurance money-movement domain. Requires strong CS fundamentals, analytic problem-solving, ownership mindset, and 4+ years experience.

Design, deploy, and automate scalable hybrid cloud infrastructure across AWS and Azure using IaC (Terraform/CloudFormation/ARM/Bicep). Build CI/CD pipelines, implement observability (Prometheus, Grafana, Datadog, CloudWatch, Splunk), lead incident response and RCA, define SLIs/SLOs, enforce DevSecOps practices, manage access (IAM/Azure AD/RBAC), and collaborate with engineering teams to optimize reliability and performance.

Build and operate MongoDB integrations and product capabilities within ISV codebases. Design data models, migrations, synchronization, dual-write and CDC solutions, and production-ready deployments across cloud, Kubernetes, and on-premises environments. Collaborate with partner engineers through implementation, code reviews, documentation, and rollout while addressing performance, scalability, resilience, observability, and security. The role also develops reusable implementation patterns and requires substantial partner-site travel.

Develop and maintain scalable full-stack web applications using Python and modern frontend frameworks. Design RESTful APIs, manage SQL and NoSQL databases, collaborate on feature delivery, and ensure application performance, security, and scalability. Debug production issues, follow clean coding practices, and contribute to system design, microservices architecture, CI/CD, and DevOps practices.

Own the architecture and technical direction of Egnyte’s distributed data migration platform, including customer agents, cloud control planes, and cloud-to-cloud services. Improve performance, reliability, data integrity, observability, and deployment safety across large-scale migrations. Lead incident response, technical design, cross-functional escalations, mentoring, and engineering quality improvements.

Leads quality engineering strategy and architecture for Commerce and Payments products. Owns quality roadmaps, release readiness, quality gates, CI/CD integration, test automation, performance and security testing, observability, and AI-enabled testing initiatives. Partners with Engineering, Product, DevOps, and Security leaders; reports quality metrics to executives; and mentors SDET managers and leads while driving reliability across microservices, distributed systems, mobile platforms, and high-transaction SaaS products.

Build production software for automated GPU and inference cluster provisioning. Design declarative APIs, control planes, state machines, reconciliation loops, durable workflows, and self-healing systems that manage hardware from discovery through deployment, operation, repair, and decommissioning. Partner with inference and ML platform teams to model cluster topology and scheduling requirements. Own reliability, testing, CI/CD, deployment, and production operations for the platform.

Own and evolve the company-wide Quality Engineering strategy, standards, automation architecture, tooling, quality metrics, and release controls. Assess maturity across engineering domains, drive risk-based testing and shift-left practices, lead critical investigations, and guide QA Technical Leads. The role remains hands-on through code, prototypes, architecture reviews, and pilots involving UI and backend automation, CI/CD, cloud-native environments, observability, and emerging technologies including AI.

Lead verification for complex CPU/SoC IP and subsystems: define verification strategies and test plans, build verification environments, run and debug simulations/emulations, apply random-stimulus and coverage-driven techniques, and mentor engineers while improving verification methodologies and tools.

Build and scale Python/FastAPI backend services for a multi-tenant SaaS platform. Design APIs for frontends, partners, and AI agents; integrate real-time and batch data systems; develop context APIs, prompt orchestration, and evaluation pipelines; and implement authentication, RBAC, tenant isolation, security, testing, and performance optimizations. Own backend development from design through production while collaborating with product, design, and LLM teams.

Maintain Unix/Linux systems, build and manage CI/CD pipelines, administer artifact repositories, develop automation scripts, and support cloud and containerized environments using platforms such as AWS, Azure, Google Cloud, Docker, and Kubernetes. The role also requires familiarity with RabbitMQ and Kafka.

Designs, develops, integrates, and supports secure digital applications, REST APIs, workflows, Azure cloud services, and AI-enabled capabilities. Responsibilities include automated testing, CI/CD, event-driven integrations, production support, monitoring, documentation, and continuous improvement. The role collaborates with cross-functional product and delivery teams to build reliable enterprise solutions and reusable engineering assets.

Design, develop, architect, deploy, and support scalable distributed backend applications. Own software modules end to end, ensure performance and stability, collaborate with product, design, quality, and engineering teams, and adopt technologies that improve development efficiency. The role also involves hands-on technical leadership, product delivery across the application lifecycle, and mentoring or managing developers.