Top Python Developer Jobs in Gurgaon

Design, script, execute, and analyze load, stress, endurance, and scalability tests using LoadRunner, JMeter and APM tools. Identify business-critical flows, find bottlenecks, collaborate with development and infrastructure teams, document test plans/results, and support continuous improvement of performance testing processes.

Owner of day-to-day IT infrastructure and network operations: manage LAN/WAN/SD-WAN, routers, switches, firewalls, Windows/Linux servers, virtualization, AWS/Azure, monitoring and backup. Implement security (EDR/XDR, DLP, SIEM), automate with PowerShell/Python, perform patching, DR, incident RCA, and maintain documentation and compliance.

Design, build, and operate highly available MySQL, MongoDB, MSSQL, and BigQuery platforms; lead migrations; optimize performance; automate backup/recovery and IaC; implement CDC with Debezium; enforce security and observability; mentor engineers and participate in on-call/incident response.

Full-stack developer responsible for designing and building web/mobile features using JavaScript/TypeScript (React/Node), Java/Spring Boot microservices, REST/GraphQL APIs, and integrating messaging and databases. Write unit tests, use CI/CD tools, participate in design/code reviews, triage and debug issues, and contribute documentation.

Architect, develop, integrate, test, debug, and optimize embedded software for diverse hardware platforms using RTOS, bare-metal, Zephyr, and Linux environments. Lead software architecture, system validation, test automation, and multi-threaded application development while collaborating with hardware and software teams. Define test strategies, analyze defects, document designs, conduct code reviews, mentor engineers, optimize performance and power usage, and contribute to open-source projects.

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.

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, 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.

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, 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 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.

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.

Design, develop, and maintain scalable cloud-native microservices using Java and Spring (including WebFlux and Spring Cloud). Build REST APIs and event-driven integrations, implement CI/CD, containerization, and AWS-based infrastructure. Integrate with commerce platforms (Shopify), OMS, ERP, and third-party APIs. Drive automated testing, performance tuning, secure coding, release management, and adoption of AI-assisted tools and next-gen agentic AI where applicable. Collaborate across architecture, product, QA, and DevOps teams.

Lead enterprise and solution architecture for retail, driving AI/ML and hyper-automation initiatives. Rationalize legacy systems, define 3-5 year tech roadmaps, build ROI-driven business cases, manage risk and governance, and advise executives while partnering with Data Science, Engineering, and Operations to implement scalable cloud-native solutions.

Design and build scalable, high-performance backend services in Go that process large-scale structured and unstructured data, orchestrate AI workflows, expose reliable APIs, ensure reliability and observability, optimize performance, deploy on AWS with Docker/Kubernetes, and collaborate with frontend, ML, and platform teams while mentoring juniors.

Design, implement, and maintain AWS-based CI/CD solutions using Jenkins. Manage build environments, operating systems, software, and multiple AWS accounts. Collaborate across teams to develop DevOps solutions, promote agile practices, and troubleshoot CI and production issues. The role also involves applying AI tools, coding assistants, agents, MCPs, and agentic SDLC practices to improve testing, troubleshooting, and workflows.

Maintain and improve reliability, scalability, and security of cloud platforms and SaaS services. Monitor observability, respond to incidents, automate operational processes with IaC and scripting, support Kubernetes and managed databases, produce runbooks/postmortems, participate in on-call rotational coverage, and collaborate with engineering, security, and product teams to reduce toil and improve operational readiness.

Oversee, scale, and optimize high-density AI hardware infrastructure across regional data centers. Build Python automation and infrastructure-as-code tooling, integrate incident workflows, develop telemetry pipelines and monitoring dashboards, and improve reliability across private cloud, bare-metal, and virtualized environments. Lead on-call incident response, runbooks, post-mortems, service rollouts, vendor coordination, and field technician activities while driving uptime, performance, and operational readiness.

Develop Python applications, APIs, automation tools, and platform capabilities while supporting CI/CD, Docker, Kubernetes, cloud and on-premise deployments. Implement observability, monitoring, alerting, and SRE practices including SLIs, SLOs, error budgets, incident response, disaster recovery, and root cause analysis. Troubleshoot production systems, automate recurring operational work, maintain documentation, and collaborate across engineering, security, platform, product, operations, and external teams.

Lead OSS and operations automation: manage and modernize monitoring stacks, implement telemetry and alerting, build automation for operational workflows, administer Salesforce and Atlassian ecosystems, design integrations and CI/CD, support Level 3 incident response and RCA, and deliver end-to-end solutions across Linux and AWS for NaaS operations.