Top Python Developer Jobs in Gurgaon

You will enhance existing systems and guide design enhancements, ensuring high availability and performance while mentoring junior engineers and collaborating on solutions.

Lead design and governance of secure, scalable multi-cloud and hybrid architectures. Define reference patterns, drive cloud migrations, implement IaC and observability, ensure security/compliance and operational excellence, and guide delivery teams on resiliency, cost optimization, and CI/CD enablement.

Lead the Platform Services engineering team responsible for shared infrastructure, internal tooling, and core services. Own distributed systems architecture, cloud reliability, observability, cost optimization, roadmap delivery, and incident management while remaining hands-on with code and production systems. Hire, mentor, and develop engineers; establish technical standards; and collaborate with product engineering, SRE, security, and leadership. Drive AI-assisted engineering practices and platform automation.

Own and optimize multiple client cloud environments across AWS, Azure, and/or GCP. Design and operate Kubernetes platforms, infrastructure as code, CI/CD and GitOps workflows, monitoring, security, disaster recovery, and cost optimization practices. Lead production troubleshooting, incident response, architecture decisions, and reliability improvements. Provide technical leadership and mentorship to 3–5 engineers while managing client relationships, technical escalations, and stakeholder communication.

Own and operate client cloud and DevOps environments across AWS, Azure, and/or GCP. Responsibilities include Kubernetes administration, infrastructure automation, CI/CD, deployments, monitoring, incident response, Linux systems administration, security, troubleshooting, backup and recovery, and continuous improvement. The role serves as the primary client-facing technical contact and coordinates, mentors, and reviews the work of one to two engineers.

Designs and executes manual and automated tests for data ingestion, transformation, APIs, reporting, and end-to-end data flows. Validates ETL accuracy, business rules, API contracts, and data integrity using SQL, Databricks, Azure Data Factory, Postman, and Swagger. Manages defects, retests fixes, maintains regression coverage, supports release readiness, and collaborates with Product, Engineering, and Data teams to improve QA processes and automation.

Owns end-to-end product features across the full stack, including conversational voice and email AI agents, LLM tool orchestration, deterministic safeguards, evaluation frameworks, vector search, monitoring, tracing, and staged production releases. The role requires strong product judgment, system-design skills, real-time processing experience, and independent execution in a remote India-based environment.

Develop software verification and validation strategies, test cases, and automated testing frameworks using Python and Java. Execute manual, exploratory, functional, non-functional, accuracy, reliability, and performance testing. Verify bugs, participate in Agile ceremonies, improve QA processes, and support product research activities while following SDLC, risk assessment, and compliance practices.

Develops software verification and validation strategies, test cases, and automated testing frameworks using Python and Java. Performs manual, exploratory, functional, non-functional, accuracy, reliability, and performance testing. Participates in Agile ceremonies, test planning, estimation, bug verification, and QA process improvements. Supports product research and ensures testing aligns with SDLC requirements, timelines, resource constraints, regulatory standards, and compliance expectations.

Lead reliability, scalability, observability, automation, and incident response for a globally distributed, multi-cloud application platform. Build infrastructure-as-code solutions, optimize CI/CD pipelines, establish SLOs, troubleshoot Linux systems, and guide cross-functional teams in adopting SRE practices. The role requires hands-on engineering, technical ownership, and participation in an on-call rotation.

Designs and develops scalable cloud-based and serverless software across the company’s platform. Builds prototypes and production services, applies AI throughout the SDLC, promotes modern Agile and Well-Architected practices, troubleshoots customer and internal issues, develops comprehensive test suites, and coaches software engineers. The role requires extensive distributed application experience and backend expertise across multiple programming languages, databases, cloud technologies, integrations, and workflow orchestration.

Design, build, and maintain pipeline and artist-facing tools across web, desktop, and Unreal surfaces. Develop Python integrations with Maya, Unreal, Nuke, Perforce, and AYON; build AI-assisted features; and own tools through production. Collaborate directly with artists and supervisors, manage work autonomously, and deliver responsive, maintainable, well-tested software.

Resolves critical technical issues for high-value customers through root cause analysis, advanced network troubleshooting, bug reproduction, testing, and engineering collaboration. Supports cloud networking environments, Linux systems, automation, QA, documentation, and customer communication. The role also contributes to feature feedback, support content, and off-hours escalation coverage.

Lead enterprise-scale migrations to GitHub Enterprise Cloud, including repositories, users, access controls, workflows, Enterprise Managed Users, and data residency. Build governed identity and access environments, validate integrations, and document handoffs. Design and maintain scalable internal developer platforms, standardize tooling, and develop self-service infrastructure and CI/CD capabilities. Partner with client IT teams, mentor engineers, and apply cloud-native architecture, Kubernetes, automation, and Infrastructure as Code practices.

Develop and own highly scalable backend services for IoT, order, and payment systems. Responsibilities include Java and Python development, distributed systems design, database and cache optimization, event-driven architectures, production troubleshooting, observability, incident response, reliability improvements, and collaboration with Infrastructure, QA, and Product teams.

Leads enterprise architecture for scalable, multi-tenant SaaS systems and cloud-native platforms. Owns AWS architecture, distributed data pipelines, cost optimization, security, governance, and architectural standards. Drives GenAI and machine learning adoption across the software development lifecycle, builds self-service capabilities, guides engineering teams, conducts prototypes, and leads architecture reviews. Requires deep hands-on cloud, distributed systems, coding, infrastructure automation, AI/ML, and strategic technology leadership experience.

Lead enterprise software quality assurance activities, including manual and automated functional, integration, regression, performance, and non-functional testing. Develop test strategies, plans, cases, and automation; validate data integrity and system behavior; manage defects and quality risks; support releases and UAT; investigate production issues; report quality metrics; and mentor junior QA analysts while collaborating with distributed teams.

Design, build, and operate AWS and Kubernetes infrastructure powering production AI systems. Own CI/CD, infrastructure as code, GitOps, observability, secrets management, GPU workloads, model serving, reliability, security, scalability, and cost optimization. Troubleshoot production incidents, perform root-cause analysis, and develop automation using Python and Bash while collaborating across Engineering, ML/AI, Security, and Product teams.

Leads the design and improvement of DevOps platforms, CI/CD pipelines, infrastructure automation, cloud environments, container orchestration, observability, security controls, and SRE practices. Partners with engineering teams to improve delivery speed, reliability, deployment quality, and developer self-service. Provides technical leadership, mentoring, governance, incident response, resilience engineering, and cloud cost optimization across production and non-production workloads.

Owns end-to-end QA coverage across firmware, cloud services, and mobile applications for IoT products. Tests device-to-cloud communication, APIs, business logic, connectivity failures, offline operation, OTA updates, and rollback scenarios. Analyzes device and cloud logs, develops test data strategies, prioritizes automation scenarios, and maintains smoke and regression testing processes. Requires systems thinking, embedded and mobile testing experience, API testing, Agile QA processes, and familiarity with relevant test management tools.

Lead design and development of the H1 Knowledge Graph and Search platform. Own feature lifecycle, evolve search/graph systems, optimize performance and scalability, maintain data pipelines, ensure data quality and security, mentor engineers, and drive architecture and integration patterns.

Lead deployment, maintenance, optimization, and reliability of production applications. Architect automation, monitoring, logging, alerting, and infrastructure improvements; identify AI-driven DevOps opportunities; mentor engineers; evaluate emerging tools; and collaborate with R&D, Support, and Security teams to resolve complex infrastructure and operational issues.

Develop scalable full-stack applications using Python, React, and FastAPI; build REST APIs and event-driven solutions with Kafka; optimize SQL queries; use AWS services and Snowflake; and collaborate with stakeholders to automate investment banking and financial operations workflows.

Leads end-to-end delivery of production-grade full-stack applications, from discovery and architecture through development, testing, deployment, and support. Builds React and .NET solutions, secure APIs, microservices, integrations, and cloud services on Azure. Implements CI/CD, automated testing, observability, security, and data protection. Uses AI-assisted development tools responsibly while validating quality, licensing, privacy, and security. Collaborates with architects, product owners, UX, security, operations, and business stakeholders to deliver measurable outcomes.

Designs, builds, integrates, and supports SAP Concur Travel and Expense solutions. Develops APIs, middleware, automation, and batch jobs connecting Concur with ERP, HRIS, identity, finance, travel, and card systems. Ensures data quality, security, observability, scalability, and compliance while supporting expense workflows, approvals, reconciliation, and audit rules. Collaborates with Finance, Travel, HR, and Security stakeholders, writes tested maintainable code, and supports production incidents and continuous improvement.