Top Python Developer Jobs in Gurgaon

Administer and support large-scale cloud and on-premises monitoring deployments across multiple providers. Maintain performance, availability, capacity, permissions, upgrades, and audit compliance. Integrate applications and infrastructure with enterprise monitoring instrumentation, document operational processes, collaborate with technical teams, and mentor colleagues on observability practices. The role requires expertise in monitoring platforms, application performance monitoring, synthetics, end-user experience, infrastructure monitoring, distributed tracing, cloud services, scripting, SQL, and multiple operating systems.

Design, build, maintain, and support scalable backend services for custodial and execution accounts across digital asset businesses. Collaborate on system architecture, deliver features, optimize performance and reliability, automate workflows, and own production services end to end, including deployment, monitoring, troubleshooting, and support.

Develop and deploy scalable full-stack web applications using Python REST APIs and modern front-end technologies. Responsibilities include building user interfaces with React or Next JS and Tailwind CSS, developing backend services, working with databases, and potentially using background workers, schedulers, containers, and orchestration platforms. The role requires collaboration with the development team, strong problem-solving skills, and attention to detail.

Develop and deploy scalable backend services for web applications. Responsibilities include RESTful API development and testing, database integration, asynchronous task queuing, containerization, and collaboration with the development team. The role uses Python frameworks such as FastAPI, Flask, or Django, relational databases, Docker, and potentially Kubernetes and cloud platforms.

Develop software and data warehousing solutions supporting fraud detection and identity proofing. The role involves Java, Python, SQL, Snowflake, Yugabyte, ETL/ELT, cloud deployment, containerization, continuous integration, automated deployments, event-based systems, and structured and unstructured data stores. Responsibilities support AWS-based customer protection technology and may involve Docker, Kubernetes, Jenkins, Kafka, Terraform, and related data platforms.

Design and validate complex engineering simulation problems for training and evaluating AI models and coding agents. Develop Python-based simulation workflows, automated tests, reference solutions, and grading systems across electrical, mechanical, and aerospace domains. Analyze AI execution logs and failure modes, validate physical plausibility and numerical convergence, refine benchmarks, and collaborate with engineering and AI research teams. This remote contractor role requires approximately 40 hours weekly, Pacific Time overlap, and weekend on-call availability.

Develops and supports cloud-based data solutions using AWS services, Python, PL/SQL, ETL, PostgreSQL, and PySpark. Responsibilities include data migration and ingestion, analytical problem-solving, debugging, API integration, and potentially Power BI support. The role requires strong cloud engineering experience and familiarity with AWS S3, Glue, Lambda, and IAM roles.

Designs and operates large-scale network automation and infrastructure-as-code platforms in a 24/7 SaaS environment. Responsibilities include building CI/CD pipelines, Network-as-Code and GitOps workflows, SDN and Kubernetes networking, routing and overlay infrastructure, automated security policies, telemetry, validation, and remediation. Serves as a senior technical authority for complex network issues while leading engineering standards, design reviews, mentoring, and cross-functional initiatives.

Develop and debug production-grade full-stack applications across front-end and back-end systems. Build features, APIs, databases, and data models; troubleshoot end-to-end issues; analyze unfamiliar codebases; translate implementations across programming languages; and review AI-generated and developer-written code for correctness, security, scalability, performance, and maintainability.

Develop and evaluate coding tasks for AI systems, including bug fixes, feature development, refactoring, optimization, reproducible environments, reference solutions, automated testing, and deterministic evaluation. The role also involves debugging complex codebases, reviewing contributions, documenting technical decisions, and refining evaluation criteria. Candidates should have strong software engineering fundamentals, backend or API development experience, open-source contributions, and proficiency in at least one listed programming language.

Evaluates AI-generated software for correctness, quality, efficiency, security, and maintainability. Designs programming challenges, reference solutions, test cases, and evaluation criteria. Reviews technical reasoning related to debugging, architecture, and system design, then provides structured feedback and documentation. The role requires strong programming fundamentals, software testing and code review experience, analytical problem-solving ability, and clear technical communication.

Build and productionize customer-facing data and AI solutions on Databricks. Own architecture, design, implementation, deployment, and technical delivery of scalable systems spanning data engineering, machine learning, AI models, pipelines, and applications. Guide enterprise customers, collaborate with engineering and product teams, resolve implementation issues, document solutions, and create reusable accelerators. The role requires customer immersion, stakeholder management, technical project delivery, and approximately 20% travel.

Develop and maintain Python and React tools supporting model portfolio data workflows and platform enablement. Translate business requirements into production-ready solutions, automate processes, manage data distribution, support releases, conduct UAT, monitor infrastructure resilience, and resolve production issues. Collaborate with investment, infrastructure, and technology teams while maintaining runbooks and governance controls across the models ecosystem.

Design, develop, integrate, and support Salesforce-based marketing technology and business systems. Own lead lifecycle, campaign operations, account and territory management, partner portals, Outreach workflows, data quality, APIs, and inbound/outbound integrations. Translate requirements into scalable solutions, perform testing and deployment, maintain documentation and monitoring, improve platform governance, and collaborate with Marketing Operations, Sales, Revenue Operations, Data, and Engineering teams.

Lead QA strategy, team management, automation framework development, CI/CD quality gates, and AI-enabled testing initiatives. Develop and maintain UI, API, integration, regression, and end-to-end automation; conduct code reviews; monitor quality metrics; investigate defects; and partner with engineering, product, DevOps, and business teams to improve release quality.

Own quality for AI-powered platform applications by designing functional and non-functional test strategies, automating APIs with Java and RestAssured, validating data across APIs and databases, debugging services and infrastructure, conducting JMeter performance tests, maintaining CI/CD pipelines, monitoring production health, and managing defects. The role also improves agentic AI workflows for test planning, automation, execution, triage, reporting, and production validation.

As an AI Architect, you will lead AI strategy, design and implement AI systems, oversee model evaluation, and ensure data ethics, driving innovation in a collaborative environment.

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.

As a Design Team Member, you will implement digital blocks to full-chip designs, focusing on physical design constraints and ensuring manufacturability by coordinating with various engineering teams.

The Design Verification Engineer ensures functional correctness of IPs and SoCs by developing verification environments, driving coverage closure, and automating tasks to enhance productivity.

Develop and maintain full-stack applications using React and Python. Collaborate effectively with the team, communicate clearly, take ownership of responsibilities, and work independently as a self-starter. The role requires working from Gurgaon three days per week and may involve technologies including GCP, machine learning, web services, Git, Power BI, Node.js, Power Apps, and REST services.

Develops and executes ETL test cases, validates source-to-target mappings, and performs complex SQL-based data validation across environments. Creates Python automation scripts for data cleansing and testing, conducts data profiling and quality checks, analyzes root causes, and tracks defects using test management tools. Supports Power BI data modeling and visualization, gathers client requirements, documents projects, and works within Agile/Scrum teams. Requires strong business analysis, data warehousing, Oracle and SQL Server expertise.

Develops and maintains Python-based testing frameworks for financial risk calculations across multiple asset classes. Designs tests for valuations, sensitivities, scenarios, VaR, and expected shortfall; analyzes large datasets, investigates data issues and model anomalies, improves data lineage, and collaborates with Quantitative, Technology, and Risk teams. Produces data-quality reporting for senior management and develops scalable, high-performance solutions on the Quartz platform.

Provides end-to-end technical support for global clients using Fluent Order Management. Responsibilities include troubleshooting post-implementation issues, resolving incidents within SLAs, automating monitoring, developing and testing enhancements, maintaining runbooks, analyzing operational trends, and communicating with client and IT stakeholders. The role requires rotational shifts and on-call support, along with hands-on experience in Java, GraphQL, REST APIs, Python, API testing, and CI/CD practices.

Develops, maintains, and supports software solutions for ICIS products and services. Responsibilities include troubleshooting customer issues, contributing to product planning and estimation, supporting other teams, participating in knowledge sharing, and driving continuous improvement. The role requires strong C# and .NET expertise, familiarity with React, TypeScript, micro frontends, Docker, MongoDB, AWS, Python, GitHub, CI pipelines, and Agile development.