Top Python Developer Jobs in Gurgaon

Develops reactor, kinetic, process, and analytics models for refinery and petrochemical technologies. Analyzes plant data, forecasts yields, monitors catalyst performance, validates models, and supports optimization and commercialization. Collaborates with R&D, engineering, software, technical services, sales, and customers to define KPIs and deliver modeling solutions. Requires strong reaction engineering, process simulation, statistical analysis, programming, and refinery operations expertise.

Develops reactor, kinetic, process, and analytics models for refinery and petrochemical technologies. Responsibilities include yield estimation, catalyst-life prediction, process optimization, plant-data analysis, model validation, KPI development, and technical collaboration with R&D, engineering, software, technical services, and customers. The role requires strong reaction engineering, process simulation, statistics, programming, numerical methods, and refinery operations expertise, with opportunities to advance modeling techniques and digital solutions.

Design, develop, deploy, test, and support full-stack software for a healthcare data platform. Build responsive web interfaces, backend services, distributed systems, and RESTful microservices using Java, Angular, SQL, NoSQL, Python, AWS, Docker, and Kubernetes. Troubleshoot complex performance issues, implement secure applications, maintain CI/CD pipelines, and work effectively in agile teams.

Designs, deploys, automates, and supports large-scale AI/HPC networking and compute infrastructure. Responsibilities include customer-facing solution architecture, cluster performance monitoring, observability, troubleshooting across hardware and software layers, network provisioning, lifecycle operations, and infrastructure automation. The role requires expertise in Linux, networking protocols, InfiniBand, RDMA, HPC architecture, benchmarking, and configuration management, with customer engagement and travel across India.

Design, modernize, automate, and maintain ScienceLogic’s hybrid cloud monitoring platform. Responsibilities include developing system update software, leading OS migrations and technology upgrades, troubleshooting distributed systems, optimizing performance and reliability, and contributing to Agile Scrum improvements. The role requires Linux administration, system and network troubleshooting, automation, Python and Bash scripting, SQL database knowledge, and familiarity with AI-driven software development and monitoring tools.

Leads full-stack development of scalable Python REST services and React/TypeScript analytics interfaces. Designs CI/CD pipelines, testing strategies, infrastructure automation, and reliable deployments. Partners with product and platform stakeholders to deliver end-to-end technical solutions, investigates performance and scalability issues, and mentors engineers. The role also supports data validation and debugging using SQL, notebooks, and Pandas, with opportunities to work on Databricks-based data platforms and cloud-native systems.

Build and maintain scalable Python REST services, React and TypeScript analytics interfaces, CI/CD pipelines, and reliable automated tests. Investigate data using SQL or PySpark and collaborate with product, data, and platform teams to deliver trusted analytics features. The role involves full-stack development, production system support, and opportunities to work with Databricks-based lakehouse technologies.

Build and improve GoGuardian’s Pear Assessment platform across the full stack. Responsibilities include developing TypeScript and Node.js backend services, React interfaces, OpenSearch semantic search, scalable data pipelines, AWS cloud-native systems, MongoDB data models, and real-time classroom integrations. The role involves optimizing performance, reliability, and analytics, integrating AI services, collaborating cross-functionally, participating in architecture and code reviews, and maintaining strong testing and engineering standards.

Build and maintain mission-critical wealth management systems for SMB clients. Design data pipelines, ETL/ELT processes, data models, warehouses, analytics, and reporting solutions using AWS, Snowflake, Mage AI, and other big data tools. Collaborate with data scientists and analysts on predictive models, statistical analyses, and machine learning algorithms. Develop software with Next.js and Python while working closely with the team and clients on financial-domain challenges.

Build and ship core AI interface platform components connecting AI agents and developers to MongoDB (MCP Server, Agent Skills, Intelligent Assistant Platform). Define architecture, implement scalable backend services, own ambiguous projects end-to-end, mentor engineers, participate in on-call rotation, and collaborate across research, product, and design.

Develops, tests, configures, and supports Connected Factories and Industrial IoT applications across global manufacturing sites. Responsibilities include troubleshooting, deployment, system validation, data-quality checks, performance monitoring, secure coding, issue resolution, stakeholder collaboration, documentation, and user training. The role requires expertise in Ignition 8.1, SQL, Python, manufacturing connectivity protocols, IT networks, and digital manufacturing environments.

Leads design verification for radar IP, subsystems, and SoCs from specification through post-silicon validation. Owns verification strategy, methodology, environments, coverage, regressions, traceability, and signoff across multiple programs. Builds and mentors verification teams, collaborates with architecture, RTL, physical design, firmware, systems, and applications teams, and supports customer reviews and ISO 26262/ISO 21434 certifications. The role requires expertise in SystemVerilog/UVM, C-based verification, digital design, protocols, formal verification, and post-silicon debugging.

Develop scalable backend services and APIs, create coding tasks and deterministic verifiers for AI systems, debug complex codebases, optimize performance, refactor legacy systems, implement features, and provide technical reviews and reasoning. The role is remote, contract-based, and part-time at 15–20 hours per week.

Designs and builds end-to-end automation solutions for Lilly’s global Finance organization. Responsibilities include solution design, programming, architecture documentation, testing, UAT support, validation, defect resolution, risk communication, QA, audits, and platform migrations. The role uses Python, PySpark, TypeScript, PostgreSQL, AWS, Microsoft Fabric, SAP, APIs, and emerging AI technologies while partnering with analysts, business teams, and technology stakeholders.

Lead full‑stack development and technical leadership for CFRA's next‑generation customer‑facing web applications. Mentor the team, design scalable React/TypeScript frontends and Python backends on AWS, collaborate with product stakeholders, follow Agile practices, resolve production issues, and drive continuous improvement.

Lead and execute firmware development for embedded devices from requirements to production. Design, code, test, debug, and optimize system software; interface with hardware; integrate and validate new products; support QA and post-production; assess third-party/open-source software; apply embedded design best practices; research and prototype proofs of concept; mentor junior engineers.

Build and own full-stack products end to end, from requirements gathering with operational teams through design, development, deployment, instrumentation, and iteration. Develop GenAI capabilities using LLMs, agents, RAG, and workflow automation. Manage reliability through testing, code review, production support, and technical debt reduction. Collaborate clearly with nontechnical stakeholders, and at senior levels lead ambiguous projects and mentor engineers.

Build and maintain complete web applications and backend services from architecture through production. Develop responsive interfaces, APIs, background workers, data pipelines, and AI integrations. Manage cloud deployment, monitoring, CI/CD, load testing, and system optimization. The role requires end-to-end ownership, strong full-stack development skills, relational database expertise, event-driven architecture knowledge, and the ability to work independently while communicating technical tradeoffs.

Develop and maintain Python applications, APIs, workers, integrations, and AWS Lambda functions. Manage AWS and Linux environments, infrastructure automation, deployments, CI/CD pipelines, and production support. Improve reliability through monitoring, canary releases, rollback, and recovery practices. Maintain databases, messaging, authentication, security, dependencies, and external integrations. Apply AI-assisted development tools with human review and security validation. The role requires ownership of software delivery from application code through production.

Develop high-performance C/C++ SDK software on Linux for Nokia’s coherent DSP ASICs and optical networking products. Responsibilities include feature development, API and framework creation, hardware-software integration, pre- and post-silicon validation, debugging, testing, automation, performance optimization, and collaboration with ASIC, firmware, hardware, and architecture teams.

Monitor and support a multi-cloud infrastructure across Azure and AWS, including Windows, Linux, and SQL Server systems. Responsibilities include incident response, alert triage, patching, compliance tracking, network troubleshooting, reliability reporting, runbook improvement, and automation. The role participates in a follow-the-sun on-call rotation and supports VPNs, DNS, subnets, routing, monitoring tools, and infrastructure maintenance.

Leads cloud platform architecture, reliability, modernization, automation, cost optimization, and operational excellence across Azure-based SaaS infrastructure with some AWS. Manages and develops cloud and database engineers, establishes observability and incident-response practices, improves CI/CD, supports highly available systems, and partners with engineering, product, and security teams. The role remains hands-on with Infrastructure-as-Code while overseeing hiring, performance management, capacity planning, and technical strategy.

Leads a remote engineering team building scalable Python and Golang microservices for Canonical’s software distribution marketplaces. Responsibilities include mentoring and developing engineers, managing delivery and expectations, shaping technical strategy and roadmaps, reviewing code, guiding architecture, maintaining engineering quality, and collaborating with product managers, architects, other teams, open-source contributors, and commercial partners.

Develop kernel- and user-mode device drivers for Ethernovia networking hardware, integrating with Linux and AUTOSAR communication stacks. Own driver architecture, implementation, testing, debugging, and SDK integration for safety-critical automotive systems. Develop stack extensions, utilities, and automated unit and system tests while applying functional safety and engineering standards. The role requires strong C/C++ skills, operating-system and kernel knowledge, hardware integration experience, and familiarity with communication devices and embedded platforms.

Design, develop, test, and maintain scalable software applications. Collaborate with product managers, architects, and engineers on technical solutions, system architecture, debugging, and Agile delivery. Mentor junior engineers, review code, improve software quality, and contribute to technical decisions. The role requires Python or Java expertise, backend frameworks, GraphQL, database knowledge, and familiarity with cloud, microservices, containers, CI/CD, and version control.