Top Python Developer Jobs in Gurgaon

Lead and grow the Forward Deployed Engineering function: own hiring, delivery standards, and customer engagements. Act as senior technical lead on strategic enterprise accounts, run architecture and integration reviews, reduce time-to-go-live by systematizing implementations, build reusable assets and playbooks, and close product-feedback loops with Tech. Stay hands-on for high-stakes integrations and production incident judgments.

Design, develop, and maintain real-time embedded software for ADAS features, including low-level drivers, BSP, middleware, CAN integration, Linux-based development, build automation, debugging, testing, and cross-functional collaboration for system integration and validation.

Lead architecture and end-to-end software development for multi-robot fleet management, ensuring uptime, safety, and scalable performance. Drive robotics, IoT, AI/ML, ROS2, edge/cloud integration, CI/CD, containerization, and DevOps best practices. Mentor teams, define multi-robot coordination and traffic control strategies, enforce cybersecurity and testing standards, and champion product innovation.

Design, develop, and maintain data pipelines and data processing solutions, implement data virtualization, and support data quality and metadata management initiatives.

Participate in designing and implementing systems, enhancing tools for NOC efficiency, automating processes, and supporting customer value recommendations.

The Senior Engineer will handle traffic engineering and transport planning, mentor teams, and ensure project delivery using various modelling software.

The Sr Engineer-DevOps will automate processes, manage infrastructure, implement CI/CD, monitor systems, collaborate with teams, and enforce security practices.

Develop and implement code for low latency trading systems, perform production monitoring, automate tasks and build risk management tools.

The CAD/Flow Methodology Development leader will define and scale EDA infrastructure, automate design flows, debug issues, and establish metrics for silicon delivery efficiency in cross-functional environments.

Build and maintain cloud infrastructure, CI/CD pipelines, containerized workloads, and infrastructure-as-code systems on AWS. Manage production databases, monitoring, logging, observability, version control workflows, and deployment infrastructure. Support mobile release pipelines and optimize infrastructure costs as needed. The role is remote within Europe and involves collaborating with a small consumer AI platform team.

Build end-to-end software features across frontend, backend, and AI components. Responsibilities include developing interfaces, APIs, backend services, data pipelines, automation workflows, and LLM-powered applications such as RAG systems and AI agents. The role involves testing, documentation, debugging, cross-functional collaboration, product iteration, and using AI coding tools to improve development speed and quality.

Design, deploy, and manage AWS and Azure cloud infrastructure, implement CI/CD automation, monitor and optimize performance and costs, enforce security and governance, build serverless solutions, troubleshoot cross-team issues, and maintain documentation and best practices.

Design, build, and operate AWS serverless services, ETL pipelines, APIs, and database solutions to power product, content, and search capabilities integrated with AEM, PIM, Coveo, and eCommerce platforms. Ensure scalability, security, observability, CDN integration, and production support within an agile product POD.

Design, build, and operate high-performance Node.js backend services and APIs for agilent.com. Implement edge-executable serverless solutions, design NoSQL/search schemas, mentor engineers, and drive scalable cloud-native infrastructure and performance optimizations to support revenue-driving features.

Design, implement, and optimize Coveo-powered search across Agilent digital properties. Build Coveo integrations, query pipelines, analytics-driven relevancy improvements, merchandising rules, AI/ML model tuning, and AWS-based ETL pipelines. Partner with product, content, commerce, data, and platform teams to improve content discoverability, search-driven conversion, and measurable customer outcomes.

Design, implement, and optimize Coveo-powered search across Agilent digital properties. Build integrations, query pipelines, analytics-driven relevancy, merchandising rules, AI/ML model tuning, and AWS-based ETL pipelines. Collaborate with product, content, data, analytics, and platform teams to improve discovery, self-service, and conversion.

Design, implement, and maintain scalable automated test frameworks (Playwright and others), integrate tests into CI/CD, perform functional/regression/performance testing, analyze defects, and mentor QA engineers to improve release quality and velocity.

Administer and oversee IBM z/OS and associated subsystems, including CICS, Db2, RACF, storage, security, monitoring, and performance management. Lead software installations, upgrades, SMP/E maintenance, incident resolution, automation, compliance, and operational standards across global deployments. Coordinate managed service providers and partner with engineering, security, and application teams on modernization, CI/CD, APIs, z/OS Connect, and hybrid-cloud initiatives. Participate in 24x7 on-call support and AIOps-driven monitoring improvements.

Design and secure enterprise data architectures and integrations across Finance, HR, Procurement, Legal, and other G&A systems. Build API, webhook, microservice, and file-based integrations; define data models, lineage, and ownership; implement AI and MCP-enabled automation; enforce encryption, masking, access controls, and SOX/GDPR compliance; and collaborate with business, security, and audit teams to deliver reliable, scalable systems.

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.

Design, develop, and execute end-to-end tests (including automated solutions using Python and Behave) for Order Entry and Market Data systems. Lead release validation, analyze test results, track defects, maintain test environments, and collaborate with developers, QA, and support teams to ensure high-quality production releases.

Build and improve Ironclad contract lifecycle management workflows, including intake, approvals, document generation, e-signature, and post-signature tracking. Maintain templates, clause libraries, data structures, and reporting; monitor platform performance; resolve issues; and support releases. Partner with Legal, Procurement, Privacy, Security, and Finance to automate contracting processes, improve data quality, support migrations, and deliver scalable self-service solutions.

Leads process engineering and APC/MPC activities across FEED, detailed engineering, digital solutions, commissioning, and performance projects. Responsibilities include process assessments, mass and energy balances, operating envelope development, dynamic modeling, control strategy design, KPI validation, plant testing, controller optimization, troubleshooting, documentation, training, and multidisciplinary stakeholder coordination. The role supports industrial digitalization projects across continuous-process industries and requires international travel to project sites.

Responsible for black-box testing and verification of MaxScale across many configurations, managing packaging and quarterly releases, maintaining automated build infrastructure, troubleshooting builds, reproducing customer issues, and contributing test cases or fixes. Works closely with support, development, and release teams.

Build and support DevOps capabilities using Kubernetes, AKS, Azure, Git, ARM templates, scripting, CI/CD pipelines, Azure DevOps, GitHub Actions, Ansible Tower, and Terraform. Apply container orchestration, networking, and Agile methodologies to automate and manage cloud infrastructure and software delivery.