Top Python Developer Jobs in Gurgaon

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.

Owns day-to-day operations of a multi-database production estate, including upgrades, migrations, query tuning, backups, restores, failover, access management, monitoring, incident response, and customer data requests. The role automates DBA workflows with Python or Bash, supports Redshift reporting over Iceberg tables on S3, maintains audit readiness, and participates in on-call operations while collaborating with development, ML, DevSecOps, and customer teams.

Build and maintain Supabase’s public Python SDK across database, authentication, storage, realtime, and edge functions. Develop natural sync and async APIs, manage typing, packaging, testing, release automation, documentation, and issue triage. Collaborate with cross-functional teams and open-source contributors, support multiple Python environments, maintain WebSocket functionality, and design migration paths for API changes. Work autonomously in a remote, asynchronous environment while making the SDK accessible to developers and AI coding agents.

Own and operate secure, highly available AWS and GCP infrastructure, MongoDB Atlas, infrastructure-as-code, Kubernetes, CI/CD, observability, and incident response. Lead a three-person DevOps team, self-host open-source tools, improve security and privacy practices, define reliability standards, automate operations, and collaborate across engineering, product, and security teams.

Develop and operate backend systems using Java, Python, AWS, microservices, databases, queues, and event-driven architectures. Responsibilities include designing scalable services, integrating third-party APIs, improving performance and observability, managing production Docker deployments, conducting incident reviews, writing architecture documentation, mentoring engineers, and owning systems through launch, on-call, and ongoing optimization. The role also requires daily use and review of AI-assisted coding tools.

Lead the design and development of scalable full-stack web applications and distributed systems, guiding engineering teams and ensuring best practices in software development.

Designs and develops scalable automated testing solutions for carrier-grade, cloud-native network products. Responsibilities include building functional, regression, performance, and end-to-end test frameworks; developing tests with Python, Java, or Go; integrating testing into CI/CD pipelines; applying AI/ML for test generation and defect analysis; analyzing network and test data; and collaborating with development, product, and QA teams.

Designs and develops scalable automated testing solutions for carrier-grade, cloud-native network products. Responsibilities include building functional, regression, performance, and end-to-end test suites; integrating testing into CI/CD pipelines; applying AI/ML for test generation, anomaly detection, defect prediction, and self-healing automation; analyzing network and test data; and collaborating with development, product, and QA teams.

Designs and leads automated and system-level testing for a large-scale distributed database engine. Responsibilities include developing test plans, regression suites, workload and performance testing, CI/QA infrastructure, debugging query behavior, analyzing bottlenecks, improving test coverage, and validating scalability and correctness. The role collaborates with development and leadership teams, supports escalated issues, owns database testing infrastructure, and mentors junior engineers.

Designs and leads automated and manual testing for a complex browser-based UI. Responsibilities include Playwright-based end-to-end automation, regression, accessibility, responsive and performance testing, backend/API/SQL validation, flaky test diagnosis, CI integration, design review, release sign-off, issue investigation, test strategy, and mentoring junior engineers.

Own and develop Blitzy’s mission-critical backend systems, cloud infrastructure, and LLM-powered production systems. The role requires hands-on architecture, coding, system reliability, scalability, observability, data architecture, semantic retrieval, and enterprise software modernization. The Principal Engineer will drive complex technical initiatives, establish engineering standards, and contribute across backend, frontend, infrastructure, and AI systems without people-management responsibilities.

Leads DevOps strategy and execution across development, QA, and production environments. Builds CI/CD pipelines, manages infrastructure as code, administers container orchestration platforms, and improves system reliability, scalability, security, and performance across cloud and on-premises environments. Collaborates with engineering and operations teams, troubleshoots deployment issues, ensures governance compliance, and mentors junior engineers.

Owns architecture and technical roadmaps for core backend, infrastructure, and AI platform areas. Writes and reviews production code, resolves complex reliability issues, drives technical initiatives, improves software delivery practices, and mentors engineers. The role partners closely with company leadership and cross-functional stakeholders in an in-person environment while shaping scalable, secure, enterprise-grade systems.

Design, build, and maintain scalable backend services, REST APIs, distributed data pipelines, and enterprise data ingestion frameworks for a multitenant B2B SaaS platform. Own features from requirements through production, improve scalability and reliability, troubleshoot complex issues, conduct code reviews, mentor engineers, and collaborate with product, architecture, QA, and engineering teams.

Leads investment technology strategy and a global engineering team while remaining hands-on in Java and Python. Oversees full-stack, cloud-native AWS platforms, advanced analytics, data enablement, decision systems, and production Generative AI solutions. Partners with investment, product, analytics, and senior technology stakeholders to deliver strategic initiatives, ensure governance and compliance, mentor teams, and drive high-quality engineering delivery across portfolio management, trading, reporting, and investment workflows.

Leads investment technology strategy and a global engineering team while remaining hands-on with Java, Python, full-stack development, AWS, data platforms, and Generative AI. Designs scalable cloud-native solutions for investment analytics, reporting, portfolio management, and decision systems. Partners with senior business and technology stakeholders, drives strategic initiatives, ensures governance and compliance, and mentors team members. The role requires deep financial services knowledge, strong architecture skills, and experience delivering complex technology solutions in regulated environments.

Own and develop mission-critical backend systems, cloud infrastructure, and LLM-powered production systems. Design scalable services using Python, REST, gRPC, Kubernetes, and Terraform; manage relational, NoSQL, graph, and vector data architectures; improve reliability, performance, and operational excellence; and provide hands-on technical leadership across backend, frontend, infrastructure, and AI systems.

Build, operate, and scale enterprise web applications using Python and React.js. Develop REST and GraphQL APIs, asynchronous processing, responsive interfaces, database queries, automated tests, and CI/CD workflows. Own features end to end, improve architecture and observability, modernize legacy systems, resolve outages, reduce technical debt, and mentor engineers. Collaborate with Product and Design in a remote, pod-based organization while leveraging AI coding agents.

Design, build, and maintain reliable backend APIs, services, and systems. Collaborate with stakeholders and engineering teams to deliver scalable features, contribute to technical roadmaps, improve internal tooling and engineering standards, and create technical documentation. The role emphasizes highly available production services, data pipelines, customer-centric development, and fraud prevention or compliance domain expertise.

Develops software, configures and deploys systems, administers Linux and cloud infrastructure, manages containers and CI/CD pipelines, integrates applications and APIs, and troubleshoots issues across application, database, network, and infrastructure layers. The engineer owns technical solutions from investigation through deployment and verification, automates operational tasks, documents systems, and collaborates directly with technical and non-technical stakeholders.

Develop and maintain automation, infrastructure, and monitoring solutions for large-scale distributed compute systems. Troubleshoot complex systemic issues, deploy software safely at scale, participate in on-call rotations, restore service-impacting incidents, and improve observability and reliability. The role requires expert Linux systems administration, configuration management, performance optimization, infrastructure automation, and proficiency with Python or Golang, cloud platforms, and monitoring technologies.

Lead development of foundational platform services, including identity, authorization, search, and API infrastructure. Design scalable architectures, optimize database performance, build internal developer tools, improve observability and frontend reliability, and collaborate with product teams. The role includes writing tested code, conducting reviews, documenting platform capabilities, supporting internal users, and evaluating or integrating AI-assisted development and LLM-powered systems.