Top Python Developer Jobs in Gurgaon

The role involves building a centralized data lake on GCP, developing SPARK-powered data pipelines, ensuring data quality, and collaborating with cross-functional teams for advanced analytics and data models.

Lead an engineering team in building and maintaining an AI platform, focusing on planning, mentorship, and collaboration with product and design teams.

The role involves developing end-to-end GenAI features, integrating LLMs, building APIs, and collaborating with data scientists, focusing on AI-enhanced business planning.

This role involves planning and designing Azure infrastructure, developing cloud solutions, mentoring teams, and ensuring cloud security and compliance.

The Senior Fullstack Engineer will design, develop, and maintain enterprise web applications while collaborating with data teams and managing junior engineers.

Develop secure and performant backend services using Python and FastAPI. Build responsive frontends with React. Collaborate on integrations and maintain cloud infrastructure.

Lead development for Inovalon's products, design scalable data pipelines, implement big data processing solutions in AWS, mentor junior engineers, and ensure quality solutions in healthcare data context.

Lead development for Inovalon products focusing on scalable data pipelines, cloud solutions, and mentoring teams. Ensure high coding standards and collaboration across teams to optimize healthcare solutions.

Participate in designing and implementing systems, enhancing tools for NOC efficiency, automating processes, and supporting customer value recommendations.

Perform functional testing of iOS mobile applications, develop scripts, collaborate with stakeholders, and ensure quality in an Agile environment.

The QA SDET Lead will oversee QA practices, lead teams, develop test automation frameworks, and ensure system performance and reliability.

The Site Reliability Engineer will enhance system reliability and performance, engage in automation, implement observability solutions, and oversee incident management in alignment with SRE principles.

Automate AWS deployments and architect environments. Create automation tools, educate customers, and maintain control of cloud environments. Manage workloads and support colleagues.

The Backend Software Engineer will enhance Bloomreach's search infrastructure, develop performance metrics, and utilize machine learning for anomalies detection and relevance improvements.

As a Solutions Engineer, you will guide AI startups in Neo4j's Startup Program, helping them implement graph and LLM solutions, ensuring successful onboarding and production adoption while providing technical leadership and promoting best practices.

The Platform Engineer will design and maintain testing frameworks using Playwright, ensuring quality and performance in a scalable platform through automation and collaboration with teams.

The Technical Support Engineer - NSP troubleshoots networking issues, collaborates with teams, resolves complex technical situations, and mentors junior staff while ensuring compliance with SLAs.

As a Technical Support Engineer, you will troubleshoot complex products, collaborate with R&D, maintain SLA compliance, and mentor junior staff while managing multi-vendor networks.

Lead and innovate testing strategies for Wi-Fi and Mesh-enabled products, developing automation frameworks and executing test cases while mentoring a team.

The Site Reliability Engineer ensures systems reliability through automation, monitoring, and incident response, balancing software development with operational tasks.

As a DevOps Engineer, you will automate and manage cloud services and build/deploy systems ensuring high availability, incident management, and operational efficiency using a tech stack focusing on Kubernetes, Docker, and more.

The Senior Software Engineer will develop end-to-end GenAI features, integrate models, optimize applications, and collaborate with data scientists to enhance AI capabilities for business planning.

As a Software Engineer at Anaplan, you'll develop and integrate machine learning services and APIs, manage data pipelines, and optimize applications, focusing on scalable solutions for the AI platform.

The Software Engineer will design and build machine learning services and APIs, develop ML models, and manage databases to support the Anaplan platform.

The Principal Software Engineer will design and build scalable ML services using Python, manage data pipelines, and collaborate with teams to deploy machine learning models in production.