Top Python Developer Jobs in Gurgaon

Design, develop, and deploy AI agent services for healthcare workflows; build scalable APIs and frontend interfaces in a fast-paced startup environment.

The Observability Engineer will enhance Managed Services through automation, monitoring tool configuration, technical support, and documentation to drive efficiency.

The Senior Backend Developer at Xebia will design and implement backend systems, focusing on APIs and microservices, while ensuring best practices in software development.

As an SRE at PayPay, you'll enhance system reliability and scalability, develop monitoring tools, improve performance, and manage incidents in a collaborative environment.

Develop backend services and tools for cost monitoring and optimization, build automation tools, maintain existing systems, and collaborate with DevOps and finance teams.

As a Technical Consultant, you will support client requests, maintain systems, document requirements, and assist in deployment while ensuring adherence to ION's best practices.

The Lead Platform Engineer oversees application development and support, manages platform infrastructure in AWS and Azure, optimizes system performance, and enhances reliability and security.

The Sr Engineer-DevOps will automate processes, manage infrastructure, implement CI/CD, monitor systems, collaborate with teams, and enforce security practices.

The Engineering Manager leads engineering teams to develop innovative software products, oversees technical direction, fosters team culture, and manages delivery roadmaps.

As a Staff Software Engineer, you'll lead project delivery, collaborate with clients, define product requirements, and foster a strong engineering culture.

The QA Automation Engineer will oversee quality assurance for SaaS products, enhance automation testing frameworks, manage QA processes, and ensure effective collaboration with development teams.

The Senior Software Engineer will enhance observability systems for stability, collaborate on monitoring tools, and resolve complex issues.

The DevOps Automation Engineer will enhance the Android Emulator infrastructure, optimize resource allocation, automate release pipelines, and resolve production issues, contributing to system reliability and scalability.

The GCP Engineer will design, build, and operate scalable analytics platforms using Google Cloud, ensuring implementation aligns with innovation strategies and collaborates globally to solve technical challenges.

Lead Software Engineer responsible for developing secure production code, influencing product design, collaborating with teams, and driving technology advancements in cloud services.

The Software Engineer II is responsible for end-to-end feature delivery, testing, maintenance, mentoring junior engineers, and collaborating across teams in a fast-paced environment.

The Staff Software Engineer leads complex software projects, defines architecture, mentors junior engineers, and ensures best coding practices, focusing on data solutions optimization.

Design, develop, and operate resilient distributed services. Collaborate on recommendation systems, influence product development, recruit and mentor team members.

Seeking an AI Engineer to work with models like GPT, convert content to structured data, and evaluate AI outputs. Training provided.

As an L2 AWS Support Engineer, you will provide advanced technical support, optimize CI/CD pipelines, and automate infrastructure provisioning, primarily using AWS services.

The role involves testing AI conversational products, improving quality assurance processes, and providing feedback for enhancing model accuracy.

Fractal Analytics seeks a Hacker-Mind AI Engineer for rapid prototyping of AI solutions, problem-solving, and collaboration with teams and clients, leveraging cutting-edge technologies.

The Low Latency Software Developer designs, develops, and implements high-performance trading systems while collaborating with global teams to solve trading challenges.

As a Software Reliability Engineer, you'll support and maintain Post Trade systems, troubleshoot production issues, and enhance system reliability through automation and documentation.

Develop and improve the core Python data science platform for trading research, manage data, build ETL pipelines, and automate support workflows.