Top Python Developer Jobs in Gurgaon

Design, build, operate, and scale secure, highly available AWS cloud infrastructure and Kubernetes/EKS platforms. Develop Terraform infrastructure, CI/CD pipelines, containerized deployments, service mesh and gateway solutions, and centralized observability. Troubleshoot production systems across Linux, networking, databases, and distributed services while driving reliability, incident management, automation, capacity planning, and cost optimization. Apply generative AI and AIOps to troubleshooting, alerting, incident analysis, and engineering productivity.

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.

Designs, manages, and automates cloud infrastructure, deployments, and system operations. Responsibilities include infrastructure as code, container orchestration, CI/CD, configuration management, scripting, database administration, monitoring, logging, alerting, and infrastructure and application testing. The role supports reliable, secure, and high-performing cloud-native platforms using AWS, GCP, Kubernetes, Docker, and related DevOps technologies.

Own end-to-end product features for a SaaS platform serving HR, therapists, and employees. Build, scale, and evolve frontend and backend components, lead architecture and standards, collaborate with design and product, and incorporate customer feedback and QA. Work in an early-stage startup environment with product-focused ownership.

Design and build source-of-truth trading data systems, scalable applications, and automated software solutions. Develop tools for analyzing and visualizing large datasets, identifying trends and anomalies, and tracing trades through financial reporting. Collaborate on integrations, promote reliable and auditable architecture, and improve trading infrastructure through technology.

Own technical execution for programmatic and traditional supply integrations. Architect implementation best practices, analyze supply activity, troubleshoot product issues and case tickets, support Account Managers and clients, and collaborate with internal and external stakeholders to deliver technical solutions. The role requires web technologies, integration protocols, SQL analysis, production troubleshooting, and clear English communication.

Leads ServiceNow engineering and operations with a focus on ITSM, platform architecture, integrations, upgrades, governance, security, and performance. Manages and mentors ServiceNow engineers, serves as a technical escalation point, translates client requirements into solutions, and oversees project roadmaps and release cycles. The role also establishes development and deployment best practices while partnering with stakeholders to drive platform reliability and continuous improvement.

Designs and delivers enterprise infrastructure automation using Ansible, Puppet, Python, PowerShell, and Bash across cloud, on-premises, and hybrid environments. Automates provisioning, patching, configuration, compliance, deployments, and drift remediation. Integrates automation with APIs and CI/CD pipelines, develops reusable modules, troubleshoots failures, and supports secure, auditable operational practices. Requires collaboration on technical designs, implementation plans, testing, monitoring, and production rollouts.

Create and maintain structured DITA/XML content in AEM Guides and Sites; define metadata and taxonomy; develop Python automation and API/LLM integrations for tagging, summarization, ingestion, and validation; manage content lifecycle and governance; optimize content for discovery, reuse, and retrieval across DAM systems.

Support reliability and modernization of Kubernetes-based microservices platforms. Build Datadog observability solutions, including dashboards, alerts, APM, metrics, logging, and tracing. Integrate monitoring with AWS and CI/CD pipelines, automate operational tasks using Python, manage agents, integrations, API keys, and access controls, and lead platform maintenance to improve reliability, scalability, and performance.

Lead full-stack development across architecture, design, implementation, testing, deployment and support. Build scalable APIs and front-end apps, lead AI agentic system design, drive SDLC and TDD, mentor engineers, troubleshoot production, and collaborate with product and stakeholders to deliver enterprise-grade features.

Develop and maintain responsive front-end interfaces, scalable back-end services, RESTful APIs, and SQL/NoSQL databases. Collaborate with product managers, designers, and developers throughout the software development lifecycle. Write maintainable code, conduct code reviews, troubleshoot issues, manage repositories with Git, and contribute to testing and deployment. Preferred experience includes cloud platforms, Docker, Kubernetes, CI/CD, Agile, secure coding, microservices, and distributed systems.

Develop and modernize enterprise-scale full-stack applications using Java, Spring Boot, React, cloud-native technologies, microservices, APIs, containers, and databases. Lead modernization and cloud transformation initiatives, design scalable solutions, conduct code reviews, collaborate with architecture and delivery teams, engage clients, and mentor development teams. Contribute to modernization offerings, reusable accelerators, delivery standards, and technical communities.

Develop and modernize enterprise-scale full-stack applications using Java, Spring Boot, React, REST APIs, microservices, containers, Kubernetes, OpenShift, and Azure. Translate client requirements into scalable, secure cloud-native solutions; lead modernization initiatives, code reviews, technical discussions, and solution design. Collaborate across architecture, infrastructure, security, and delivery teams while mentoring junior developers and contributing to reusable modernization offerings, delivery standards, and technical communities.

Develop and modernize enterprise-scale full-stack applications using Java, Spring Boot, React, REST APIs, microservices, containers, Kubernetes, OpenShift, and Azure. Translate client requirements into scalable solutions, lead cloud-native modernization initiatives, conduct code reviews, implement secure and reliable architectures, collaborate with technical teams, and mentor junior developers. The role also contributes to modernization offerings, reusable accelerators, delivery standards, Agile practices, and technical innovation.

Develops reactor, kinetic, process, and analytics models for refinery and petrochemical technologies. Responsibilities include yield estimation, plant data analysis, catalyst lifecycle prediction, process optimization, model validation, KPI development, and technical collaboration with R&D, engineering, software, and customer teams. Requires expertise in reaction engineering, process simulation, statistical analysis, numerical methods, and programming.

Develops reactor, kinetic, process, and analytics models for refinery and petrochemical technologies. Responsibilities include yield estimation, plant data analysis, catalyst life prediction, forecasting, KPI development, model validation, process optimization, and technical collaboration with R&D, engineering, software, technical services, and customers. Requires expertise in reaction engineering, kinetics, process simulation, statistical analysis, numerical methods, and programming.

Leads investment technology strategy and hands-on engineering across Java, Python, full-stack systems, AWS cloud platforms, advanced analytics, and Generative AI. Oversees architecture, delivery, governance, stakeholder engagement, and investment decision-support solutions. Builds and mentors global engineering teams while driving cross-functional transformation, cloud and data enablement, regulatory compliance, and scalable technology outcomes.

Own end-to-end test strategies, quality sign-off, automation, performance testing, and AI-augmented quality practices for enterprise SaaS modules and services. Design tests for APIs, databases, microservices, distributed systems, asynchronous workflows, and event-driven architectures. Partner with engineering teams on performance benchmarks, SLAs, shift-left testing, and test pyramid adoption while performing debugging, root cause analysis, and quality risk assessment.

Leads investment technology strategy and global engineering teams while remaining hands-on in Java and Python. Oversees AWS cloud platforms, full-stack development, data enablement, advanced analytics, and production Generative AI solutions for investment workflows. Translates investment-domain needs into scalable decision systems, reporting, and portfolio analytics. The role manages strategic initiatives, stakeholder alignment, governance, compliance, delivery, recruitment, mentoring, and organizational change across a matrixed environment.

Leads a ten-person platform engineering team responsible for infrastructure, systems engineering, DevOps, networking, test automation, modernization, reliability, and operational excellence. Owns technical direction, architecture, cloud and on-premises infrastructure, cost optimization, delivery, troubleshooting, hiring, performance management, and career development. Partners with engineering, QA, product, and US leadership while building team structure and future technical leaders.

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.