Top Python Developer Jobs in Gurgaon

Leads enterprise test strategy, automation frameworks, release quality, production readiness, and non-functional testing for data governance and metadata management platforms. Oversees testing across functional, integration, regression, performance, resiliency, and infrastructure areas; mentors test engineers; manages defects, risks, metrics, traceability, compliance, and stakeholder collaboration across Agile teams.

Develop cloud-based applications with strong Angular and TypeScript expertise while contributing to AWS, Kubernetes/EKS, backend services, microservices, CI/CD, infrastructure as code, and platform engineering initiatives. Build and support front-end and cloud services, troubleshoot containerized deployments, automate delivery pipelines, and collaborate across technology domains. Preferred experience includes Helm, Terraform/OpenTofu, Lambda, Node.js, Jenkins, cloud governance, event-driven systems, automated testing, and developer enablement tooling.

Leads a global Remote Delivery Engineering organization delivering optical transport, subsea, and cloud-integrated network solutions. Oversees architecture, design, deployment, validation, migration, optimization, lifecycle management, customer acceptance, and technical governance. Builds and mentors distributed engineering teams, advises executive customers, supports commercial growth, and drives adoption of SDN, automation, cloud-native operations, and AI-enabled network assurance. Requires extensive telecommunications and optical networking expertise, strategic customer engagement, and leadership of large-scale deployments.

Leads Nokia’s global Remote Delivery Engineering organization for fixed access, optical transport, subsea, SDN, and cloud-integrated networks. Owns architecture, design, deployment, migration, validation, optimization, lifecycle management, customer acceptance, technical governance, and escalations. Builds distributed engineering teams, advises executive customers, partners with sales and product organizations, and drives automation, cloud-native operations, reusable delivery frameworks, quality improvements, and strategic technology adoption.

Design, develop, deploy, and support scalable automation solutions for engineering and business workflows. Build REST API integrations, Microsoft 365 automations, cloud-native services, and AI-powered document processing using RAG, vector databases, LLM APIs, and prompt engineering. Collaborate with software developers, AI leaders, engineers, and business stakeholders to translate requirements into reliable solutions. Responsibilities include testing, deployment, monitoring, documentation, user training, production support, and identifying opportunities to improve operational efficiency.

Operate and maintain an Azure-based SaaS platform by monitoring infrastructure, managing patches, triaging alerts, responding to incidents, maintaining runbooks, tracking SLA and reliability metrics, and supporting CI/CD operations. The role participates in on-call rotations, post-incident reviews, automation initiatives, and infrastructure-as-code improvements while collaborating with cloud engineering teams.

Build, automate, and operate enterprise-scale data platforms using Databricks, Snowflake, Microsoft Fabric, Kubernetes, and cloud technologies. Responsibilities include Infrastructure as Code, CI/CD, GitOps, platform provisioning, reliability engineering, observability, security, governance, incident remediation, performance optimization, and FinOps. The role supports multi-environment deployments and self-service capabilities for data engineering and analytics teams.

The Senior Systems Engineer role involves implementing strategies and solutions for production services, developing and automating complex computing systems, and acting as a subject matter expert for Netskope products.

The role involves building and scaling the Acceldata Open Data Platform, focusing on observability, coding, debugging, and collaborating with teams and the open-source community.

Build and maintain secure, scalable, high-performance healthcare applications and services using Python and GCP. Responsibilities include designing, developing, testing, debugging, optimizing, and documenting software; implementing clean coding practices; troubleshooting technical issues; and collaborating with product owners and stakeholders. The role also involves GCP infrastructure-as-code with Terraform and may use healthcare interoperability standards, databases, containers, frontend technologies, and AI-assisted coding.

Operate and improve production data infrastructure across large-scale distributed cloud systems. Monitor performance, manage alerts, respond to incidents, perform root cause analysis, automate repetitive tasks, support CI/CD pipelines, document runbooks, and assist with capacity planning. The role requires participation in an on-call rotation and collaboration with Engineering to maintain reliability, efficiency, and uptime.

Design, develop, deploy, and maintain automated system tests for large-scale distributed systems. Create real-world test scenarios, improve automation methodologies, review system requirements and test plans, and collaborate with cross-functional teams. The role also includes mentoring less experienced engineers and evaluating testing infrastructure technologies.

Design and build low-latency, distributed backend systems for real-time fraud detection and customer intelligence. Architect services, optimize scalability and reliability, build data pipelines, improve observability and incident response, and mentor engineers.

The Solutions Architect II designs secure, scalable platforms and modernizes enterprise applications, collaborating with teams on full stack development and AI integration.

The Software Engineer II role involves developing high-quality Java applications, optimizing data pipelines, implementing CI/CD processes, and enhancing system architecture while collaborating across teams and utilizing AI development tools.

Lead SRE-focused reliability for production systems: run on-call and incident response, debug distributed systems, design self-healing scalable infrastructure, build observability (metrics, logs, traces, SLIs/SLOs, APM), support Terraform/Kubernetes/CI-CD automation, mentor engineers, conduct blameless postmortems, and drive resiliency improvements.

Design and execute verification and validation strategies, create and run automated and manual test cases, enhance automation frameworks, perform functional and non-functional testing, participate in agile planning, and support QA process improvements during product research and development.

Design and execute V&V strategy, create and run automated and manual test cases, maintain automation frameworks, perform non-functional testing, participate in Agile ceremonies, and improve QA processes.

Develop and maintain enterprise AI products and intelligent agents using Python, JavaScript, SQL, REST APIs, AWS, and Docker. Responsibilities require advanced SQL schema design, performance tuning, stored procedures, object-oriented programming, API development, version control, and cloud-based software engineering. The role operates within globally distributed, remote-first delivery teams serving enterprise clients across multiple industries.

Own complex enterprise telephony integrations and provide advanced post-onboarding technical support. Troubleshoot call failures using PCAPs, SIP traces, and carrier logs; improve call quality and reliability; support platforms including Twilio, Telnyx, Avaya, Genesys, and Amazon Connect; communicate technical issues to premium customers; and translate customer feedback into product improvements. The role also involves scripting troubleshooting automations and collaborating with Pacific Time customers and teams.

Lead a 20-person software engineering and SDET team, overseeing people development, hiring, delivery, capacity planning, escalations, architecture reviews, engineering practices, and cross-team initiatives. Build scalable team leadership structures, mentor emerging leaders, and apply AI-enabled workflows and solutions. Partner with product leadership on roadmaps and execution while maintaining strong technical credibility in software architecture, distributed systems, Python, APIs, databases, testing, and CI/CD.

Design, architect, and implement large-scale AWS cloud solutions; secure and automate infrastructure using Terraform/CloudFormation and Python; containerize and orchestrate workloads with Docker and Kubernetes; perform migrations, storage and encryption strategies; integrate AWS services (EC2, S3, RDS, DynamoDB, Redshift, CloudFront, GuardDuty, Secrets Manager); produce technical documentation and collaborate with stakeholders.

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.

Design, develop, and deploy scalable backend services. Own modules end-to-end, collaborate with product/design/QA, ensure performance and stability, implement algorithms and data structures, and continuously evaluate new technologies.

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.