Top Python Developer Jobs in Gurgaon

Join as a Senior Site Reliability Engineer to design and operate a multi-tenant Kubernetes platform for AI applications. Improve performance, scalability, reliability, monitoring, and tenant isolation; participate in 24/7 on-call rotation and mentor junior SREs while automating operational processes.

Lead and mentor a software engineering team building scalable .NET and React solutions; drive architecture, code reviews, automation, DevOps, AI/ML integration, technical roadmaps, and cross-functional prioritization in a healthcare context.

The DevSecOps Engineer will design, implement, and monitor secure, fault-tolerant infrastructure and evolve Build & Release practices while collaborating with teams to improve developer productivity and environment monitoring.

Lead architecture and delivery of scalable full-stack solutions across UI, APIs, integration, and cloud-native runtime. Define NFRs, design web UIs (Angular/React), build REST APIs with Java/Spring Boot, integrate Kafka, containerize with Docker, deploy to Kubernetes/Helm, enforce testing (JUnit), and mentor engineers while driving architecture governance and CI/CD automation.

Build, optimize, and maintain GCP foundation platform using IaC (Terraform). Integrate cloud services (IAM, VPC, logging), manage SDN, support BigQuery and Spark data workflows, enable CI/CD pipelines, ensure security/compliance, troubleshoot infrastructure and interact with clients to deliver cloud solutions.

Collaborate with teams to gather technical requirements, design features, write production-ready code, and manage ML lifecycle in a consulting environment.

The Principal Software Engineer leads design and implementation of cloud services, data pipelines, and AI/ML solutions, ensuring security and compliance while mentoring teams and managing projects.

Lead a team of software engineers in developing internal tools and platforms. Balance managerial and engineering responsibilities while enhancing team efficiency and productivity.

Lead design and delivery of scalable backend services and APIs using Java/Python; build event-driven microservices with Kafka; design and optimize relational and NoSQL databases; implement streaming and batch data pipelines; integrate AI/ML features and collaborate with data science; ensure production readiness (CI/CD, testing, monitoring); enforce engineering best practices; mentor engineers and work cross-functionally to deliver roadmap initiatives.

Lead the architecture and implementation of enterprise integrations using Workato and APIs, ensuring scalability and security while mentoring engineers and improving integration standards.

Senior software engineer to lead and contribute to design, development, testing, and deployment of applications using Java/Spring Boot, Python, ReactJS, REST, MongoDB, cloud, containerization, DevOps and AI/ML technologies; mentors team members and evaluates new tools and approaches.

Seeking a Site Reliability Engineer to support real-time distributed environments, perform capacity planning, and manage application migrations. Candidates should be knowledgeable in UNIX/Linux, networking, SQL, and scripting with Python.

The Site Reliability Engineer will provide support and diagnose issues within a real-time, distributed environment, focusing on large-scale application and infrastructure management, with basic required skills in UNIX/Linux, networking, SQL, and scripting languages.

The Engineering Lead will design and implement technical features, work on ML pipelines, and mentor engineers while ensuring high-quality deliverables. This role requires collaborating with teams and managing the ML lifecycle for business value.

Provide configuration and data management support for aerospace programs: process and track ECNs in Teamcenter, maintain release/configuration status, manage BOMs in Teamcenter and SAP, coordinate supplier/customer change notifications and data submittals, ensure PDM/ERP data quality, publish documents, support reviews/audits, and help meet aerospace cycle-time targets.

Lead architecture and design for ANTHEM tooling solutions in Honeywell Aerospace. Collaborate with business and technical leaders to deliver scalable, secure, cloud-native software, guide teams, recruit and develop talent, and ensure system integration, validation, and compliance.

Lead embedded software development and verification for avionics programs following DO-178B/C. Drive common test architectures, tools, processes, and automation (including GenAI). Influence stakeholders, plan and execute project schedules, mentor engineers, evaluate new technologies, and ensure efficient test strategies using tools like debuggers, simulators, Vector Cast/Cover, and MATLAB.

Verify and validate avionics embedded software using C/C++/Python and embedded programming. Develop and execute tests with debuggers and simulators, pursue test methodology and automation improvements, and apply knowledge of Communication Navigation Surveillance products.

Lead embedded avionics software development and verification per DO-178B/C. Drive test architecture, tools, and processes; conduct PDR/CDR/TRR and audits; use C/C++/Python, debuggers, simulators, VectorCAST/Cover and MATLAB; apply GenAI/LLMs to automate tasks; evaluate new technologies; mentor engineers and manage cross-functional stakeholders to meet quality, cost, and schedule goals.

Lead embedded avionics software development and verification efforts following DO-178B/C. Define test architectures, tools, and processes; drive improvements, influence stakeholders, mentor engineers, and evaluate new technologies to improve productivity, quality, and cycle time.

Lead embedded software development and verification for DO-178B/C aerospace programs. Drive test architecture, tools, and processes; use C/C++/Python and MATLAB; apply debuggers, simulators, VectorCAST, and GenAI (LLMs/ChatGPT) to automate tasks. Conduct PDR/CDR/TRR/reviews, bench setup, audits, evaluate new technologies, influence software architecture, mentor engineers, and manage stakeholders to meet quality, cost, and schedule objectives.

Lead development and verification of avionics embedded software per DO-178B/C. Define test architecture, tools and processes; use C/C++/Python and GenAI to automate; drive technical decisions, PDR/CDR reviews, stakeholder coordination, talent strategy, and evaluate new embedded technologies. Mentor engineers and ensure quality, cost, and schedule objectives.

Design and verify avionics embedded software through test design, verification & validation, and use of debuggers and simulators. Develop and test embedded code (C/C++/Python), apply V&V methodologies, and contribute to technical improvements for Communication, Navigation, and Surveillance products.

As a QA Engineer in DevOps, you will test and analyze requirements, write test cases, debug environments, and investigate customer scenarios.

Develop and maintain VBA-based solutions, using software development background with Python and Power Query. Apply prompt engineering to automate tasks, collaborate with stakeholders, and adopt resilience, supplier, and risk management principles. Banking experience preferred; expected to learn quickly and propose innovative solutions.