Top Python Developer Jobs in Gurgaon

Lead the operation, administration, monitoring, troubleshooting, and continuous improvement of customer Azure environments. Own complex incidents, changes, governance, security, cost management, and ITSM processes while advising customers and mentoring engineers. Develop documentation, automation, and operational improvements using DevOps and SRE practices. Participate in customer meetings, pre-sales activities, on-call support, and occasional travel, including after-hours support for major incidents and change windows.

Operate and support customer cloud environments across Azure and other major cloud platforms. Responsibilities include monitoring, incident and request response, troubleshooting, provisioning, access administration, patching coordination, governance, documentation, customer communication, and ITSM processes. The role also supports automation, DevOps, infrastructure as code, CI/CD, observability, and reliability improvements. Participation in on-call rotations, weekend maintenance, and customer meetings is required.

Design and build scalable AI agents, data pipelines, ETL/ELT processes, microservices, and data federation layers. Develop generative AI solutions using Google ADK and LLMs, integrate agentic AI tools, and support Data Mesh and cloud-native architectures. Ensure data quality, security, scalability, and regulatory compliance while advancing engineering standards and business-focused analytics platforms.

Designs, develops, tests, deploys, and maintains scalable software applications, APIs, and microservices. Responsibilities include requirements analysis, technical design, coding, debugging, code reviews, automated testing, production support, and collaboration with product, architecture, QA, and engineering teams. The role follows Agile practices and contributes to secure, maintainable software and operational excellence.

Designs, develops, tests, deploys, and maintains scalable software applications, APIs, and microservices. Responsibilities include requirements analysis, technical design, coding, debugging, automated testing, code reviews, production support, and collaboration with product, architecture, QA, and engineering teams. The role follows Agile practices, contributes to operational excellence, and requires strong programming, software design, cloud, containerization, and CI/CD knowledge.

Design, develop, and maintain automated and manual test strategies for web and POS applications. Create test plans, write automation scripts, execute functional, integration and regression tests, track defects, define QA metrics, support release validation, and mentor team members while collaborating with cross-functional stakeholders.

The Platform SRE maintains reliable, secure, and modern hosting infrastructure. Responsibilities include reducing technical debt, managing fleet-wide patching, building infrastructure automation and CI/CD pipelines, defining SLIs and SLOs, improving observability, responding to production incidents, performing root cause analysis, and implementing remediation. The role partners with engineering teams on scalability and operational readiness, supports compliance, maintains runbooks, mentors engineers, and leads platform reliability initiatives across cloud, managed hosting, and hybrid environments.

Senior Site Reliability Engineer responsible for designing and maintaining scalable infrastructure, deployment processes, monitoring platforms, and automation for distributed systems. The role improves reliability, performance, observability, and operational efficiency through Linux administration, scripting, infrastructure as code, CI/CD, Kubernetes, cloud platforms, and monitoring tools. The engineer collaborates with internal teams to resolve technical challenges, safely deploy software, and drive continuous improvement.

Develop and lead comprehensive automated testing across API, backend, and UI components using Selenium and Java. Build scalable test frameworks, integrate automation into CI/CD pipelines, conduct troubleshooting and root cause analysis, support Agile/Scrum delivery, and drive defect triage and quality improvements. Collaborate with technical and product stakeholders, mentor junior engineers, communicate quality metrics, and provide testing recommendations for enterprise identity and access management solutions.

Lead DevOps Engineer responsible for managing DevOps pipelines across internal and customer environments, conducting DevSecOps research, automating and optimizing infrastructure, reducing costs, maintaining environments, and supporting onsite implementation teams. The role requires AWS, Kubernetes, Docker, CI/CD, Terraform, security testing, observability, database, scripting, and performance engineering experience.

Build and deliver scalable SaaS features for government agencies using ReactJS, TypeScript, GraphQL, NodeJS, and Python. Responsibilities include end-to-end development, secure authentication and authorization, debugging, cross-functional collaboration, process improvement, and mentoring junior engineers. The role also involves AI-driven UX, workflow automation, observability, event-driven architecture, and advocating for modern engineering practices.

Designs end-to-end technology solutions for media, OTT, and digital platforms. Translates business requirements into scalable and secure architectures, evaluates technologies, recommends integrations, and guides implementation. Collaborates with business, engineering, infrastructure, and technology teams while ensuring alignment with enterprise architecture and security standards. The role requires AWS expertise, cloud and microservices experience, infrastructure as code, programming and scripting skills, solution documentation, and stakeholder management.

Build, test, deploy, and maintain production automations using n8n, custom code, AI models, PostgreSQL pipelines, and cloud platforms. Own automation initiatives end to end, integrate systems, monitor reliability and business outcomes, maintain CI/CD pipelines, respond to incidents, troubleshoot failures, and support security and compliance reviews. The role also involves stakeholder collaboration, process improvement, research into emerging automation technologies, and on-call participation.

Graduate software engineers will develop open-source and commercial software across the Linux stack, from firmware, kernels, and drivers to desktop applications, containers, clouds, and Kubernetes. Responsibilities include writing resilient, performant code, contributing to product roadmaps, engaging with users and open-source communities, addressing customer issues, and developing secure software. The role is globally remote with twice-yearly international team sprints and emphasizes mentorship, collaboration, and continuous technical growth.

Support and troubleshoot production GCP data pipelines across batch and streaming workloads. Diagnose failures, latency, performance, and configuration issues; optimize pipelines for reliability and faster refreshes; support platform upgrades and compliance; and collaborate with Data Engineering, BI, and application teams. The role requires hands-on GCP, SQL, Python, BigQuery, Spanner, Dataflow, Pub/Sub, IAM, monitoring, logging, and production support experience.

Own quality for AI products including a support chatbot, API Copilot, and MCP server. Build golden datasets, evaluation harnesses, scoring systems, regression coverage, and release gates. Analyze production traces and tool calls to identify hallucinations, retrieval, generation, tool-use, context, and PII failures. Define quality metrics, investigate root causes, and convert findings into actionable engineering evidence. The role requires Python, API testing, AI evaluation experience, and strong QA/SDET expertise.

Own performance testing and develop scalable automation frameworks using JMeter, Selenium, Playwright, and Rest Assured. Design test strategies, execute end-to-end UI, API, backend, regression, integration, and compatibility testing, and support CI/CD quality initiatives. Identify system bottlenecks, perform root-cause analysis, recommend performance tuning, and evaluate emerging testing technologies. Collaborate with engineering teams while serving as a quality engineering subject matter expert.

Design, build, and operate AWS/Azure cloud infrastructure and DevOps workflows. Own IaC, CI/CD, container and serverless deployments, monitoring, security, cost optimization, and cloud migrations while automating operations and collaborating with development, data, and ML teams.

Leads hands-on DevOps engineering as an individual contributor. Builds and manages multi-stage CI/CD pipelines, source-control repositories, Docker containers, and production Azure Kubernetes Service clusters. Provisions Azure infrastructure using Terraform, ARM Templates, or Bicep, and develops automation scripts with Python, shell scripting, or PowerShell. Uses AI productivity tools such as Microsoft Copilot, ChatGPT, and GitHub Copilot.

Designs and architects scalable distributed systems and cloud-native applications; leads development of critical platform and product features; drives architecture, technical decisions, reliability, security, observability, and engineering standards. Collaborates cross-functionally, mentors engineers, resolves performance issues, evaluates technologies, and contributes to technical roadmaps. The role requires strong software architecture, databases, APIs, asynchronous systems, CI/CD, containers, and cloud-platform expertise, with preferred experience in AI-powered products and modern distributed technologies.

Designs and governs enterprise semantic layers using Cube.dev, AtScale, Microsoft Fabric, Power BI, LookML, and dbt. Develops reusable metrics, dimensions, business definitions, semantic models, and analytics-ready data products. Establishes data governance, lineage, metadata management, ontology structures, and performance optimization strategies. Supports BI, AI/ML, self-service analytics, and executive reporting across multiple business domains while collaborating with architects, engineers, BI teams, governance specialists, and stakeholders.

Implement automation and RPA solutions for finance processes, configure vendor tools, develop Python and SQL scripts, support ETL and BI implementations, and deploy practical AI workflows. The role focuses on hands-on client delivery, data validation, reconciliations, documentation, reusable components, vendor evaluation, and stakeholder collaboration.

Build and maintain web and mobile systems supporting field-worker onboarding, device assignment, attendance, data collection, uploads, payments, dashboards, and operational workflows. Integrate storage and data-quality systems, improve reliability under poor connectivity, automate manual processes, monitor deployments, and troubleshoot production issues. The role partners closely with founders and operations teams, owning features end to end across frontend, backend, infrastructure, testing, deployment, and support.

Build and own full-stack features using React or Angular, Python, FastAPI, AWS, and multiple database technologies. Develop conversational AI and agentic applications with RAG, text-to-SQL, MCP integrations, streaming, guardrails, and observability. Use AI coding agents, review code, lead technical design, mentor engineers, and partner with product, data science, and business stakeholders. The role requires production software engineering experience, strong technical judgment, and ownership from front end through data layer.

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