Top Python Developer Jobs in Gurgaon

The Lead Software Engineer develops and maintains microservices for fighting financial crime, engages with stakeholders, mentors teams, and oversees architecture practices.

Lead the API and Identity Infrastructure engineering team, focusing on developing scalable systems, improving security, and driving best practices in engineering across the organization.

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.

Develop technical solutions including AI models, collaborate across teams, and optimize processes in a dynamic environment, while employing various technologies.

As a Senior Implementation Specialist, you will ensure seamless product deployment and optimize operational excellence by collaborating with teams, providing technical guidance, and enhancing workflows in a fast-paced environment.

As a Technical Lead, you'll design data pipelines, ensure system reliability, mentor junior engineers, and collaborate with product teams. You will also contribute to engineering culture by applying best practices.

The Senior Software Engineer will develop and maintain scalable financial solutions, refactor existing products, mentor team members, and ensure optimal application performance using various technologies.

Lead the Infrastructure AI, Automation & Tools team, focusing on AI-driven transformation and resilient global infrastructure to enhance operational efficiencies.

The role involves planning and managing automation testing, defining testing strategies, overseeing quality assurance, and coaching teams in testing best practices.

The role involves collaborating with teams to design and implement technology solutions, manage project tasks, mentor junior staff, and ensure high-quality deliverables.

The Sr. Software Engineer will create file format parsers, collaborate on machine learning features, and maintain software systems. Responsibilities include testing, optimization, and documentation.

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

The Senior Analytics Engineer I designs, develops, and maintains analytics solutions, ensuring data integrity and enabling insights for decision-making across the business.

The Full Stack Engineer develops AI-enabled research applications for investors by integrating front-end and back-end systems, collaborating with AI teams, and optimizing data access and application reliability.

The Senior Practice Engineer will lead technical initiatives for the AMP Delivery Excellence team, focusing on application modernization, AI-driven solutions, and improving project delivery through innovative tools and processes.

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

Lead a technical team to deliver data engineering solutions, manage project lifecycle, and collaborate with stakeholders to optimize supply chain operations across industries.

The Data Warehouse Operations Senior Engineer will monitor, maintain, and optimize the enterprise data warehouse, ensuring stability and performance of ETL, reporting, and cloud infrastructure. Responsibilities include troubleshooting, compliance, incident management, and system performance monitoring.

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

The QA engineer will develop and execute testing plans for NetSuite and SFDC, collaborate with stakeholders, and support release management activities.

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

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

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.

Lead the ML Engineering team at Mastercard, focusing on AI/ML deployments, developing scalable data pipelines, and collaborating with data science and program teams.

As a Full Stack Developer, you will develop web applications, enhance existing apps, troubleshoot, and work collaboratively with the team.