Top Python Developer Jobs in Gurgaon

The Software Engineer will design, implement, test, and release features for Cloud Manager and Ops Manager, while troubleshooting bugs in customer deployments.

The Senior Product Security Engineer will secure cloud platforms, conduct security assessments, automate controls, mentor teams, and engage with stakeholders on security practices.

The Systems Engineer will manage and support Windows infrastructure, endpoint security, server performance, and automate systems tasks while ensuring security compliance.

The role involves architecting and building a scalable data platform to support investment analytics, requiring leadership in engineering best practices and technical proficiency in data and cloud technologies.

Design, develop, and maintain ETL processes, optimize performance, and manage client data repositories while collaborating with stakeholders to enhance data quality.

The Principal Software Engineer at Atlassian will design and optimize high-scale storage systems on AWS, mentor engineers, and improve storage solutions' performance and reliability.

As a Performance Engineer, you'll validate and recommend performance optimizations, analyze software architecture, conduct testing, and work on performance monitoring and tooling.

As a Site Reliability Engineer at Boomi, you will design and maintain infrastructure, develop software solutions, and enhance product features while collaborating with various teams.

Design, implement, and manage network infrastructure with a focus on Azure. Collaborate with teams, automate network tasks, and support security policies while ensuring optimal performance.

Develop scalable applications using .NET or Python with AI integration, implement RAG pipelines, and build intelligent search and conversational systems.

The role involves designing and implementing Python SDKs for SaaS products, collaborating on code reviews, and improving code quality through testing and customer support.

Assist in user requirements gathering, develop and test application systems, maintain CI/CD pipelines, and implement monitoring solutions using Azure. Support production applications and identify innovative solutions to technical challenges.

Develop and maintain full stack web applications integrating AI/ML models. Collaborate with teams to ensure performance, security, and responsiveness while following coding best practices.

Lead quality assurance efforts for digital assurance platforms, develop test strategies for AI tools, conduct various testing types, and mentor junior QA members.

As a Senior Developer, you will evaluate and implement AI frameworks, optimize AI models, integrate research into production, and collaborate with stakeholders. You will also document and oversee testing of AI agents to ensure compliance and performance standards.

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

Assist in designing and implementing data platform solutions, collaborating with architects while enhancing team capabilities and ensuring timely delivery of high-quality applications.

The Data Engineer will design, develop, and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes across systems.

Design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks while collaborating with teams to enhance operational efficiency.

The Application Developer will design and configure applications, integrating Generative AI for solutions and enhancing usability while leading team decisions.

The Data Platform Engineer will collaborate on the data platform blueprint, ensuring integration between systems, lead solution design using GenAI, and manage team deliverables.

As a Data Platform Engineer, you will assist with the data platform blueprint and design, collaborate with architects, and enhance data architecture.

Design and develop enterprise-grade solutions using Generative and Agentic AI frameworks, ensuring integration and delivery across multiple teams.

Design, develop, and deploy enterprise-grade solutions with Generative and Agentic AI. Collaborate with teams to deliver high-quality applications and monitor project progress.

Design, develop and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes while collaborating with teams.