Top Python Jobs in Bengaluru

Design and maintain server-side logic, APIs and database architecture for a FinTech platform. Collaborate with front-end developers and manage system performance.

The Senior Software Engineer will build backend systems for AI capabilities, focusing on scalable APIs, data pipelines, and advanced developer tools. Responsibilities include contributing to backend architecture and integrating AI into workflows.

As a Staff Solutions Engineer, you'll lead technical customer engagements, design production-quality systems, and mentor engineers while applying GenAI technologies.

The Solutions Engineer will design, implement, and deploy customer-facing solutions using Python and GenAI capabilities, as part of a collaborative and delivery-focused engineering team.

The Solutions Engineer will design, build, and deploy customer-centered solutions using JazzX's AGI platform, collaborating with teams on real-world AI applications.

As a Staff Solutions Engineer, you will lead customer engagements, design and implement enterprise systems, and mentor engineers while focusing on successful integrations and deployments.

As a Solutions Engineer, you will develop customer-facing solutions using JazzX's AGI platform, focusing on backend services and applied AI capabilities while collaborating with customer teams.

The role involves designing, building, and deploying customer-facing solutions on JazzX's AGI platform, focusing on backend services and GenAI integration while collaborating with customer teams.

The Staff Solutions Engineer leads customer engagements, oversees technical delivery, and designs production-grade enterprise systems using JazzX's AGI platform, while mentoring other engineers.

The role involves developing and maintaining a cloud-based SaaS platform, focusing on backend systems while collaborating with cross-functional teams.

Design and build distributed systems while mentoring junior engineers. Own platform reliability and contribute to the development of key software features.

As a Sr. AWS DevOps Engineer, you will build and deploy AWS cloud environments, automate infrastructure, manage Kubernetes, and mentor junior engineers.

As a Senior Staff Software Engineer, you'll lead the architecture and evolution of JazzX AI's platform, ensuring systems reliability, developer experience, and operational excellence while mentoring teams across the organization.

The Lead QA is responsible for developing and maintaining test automation scripts, performing manual validation, collaborating with the development team, and contributing to test strategies and planning.

The Test Automation Engineer will design and maintain test automation frameworks for network observability solutions, collaborate with engineering teams, integrate tests into CI/CD pipelines, and drive quality and testing metrics.

Design and build scalable, distributed backend systems and high-performance APIs. Optimize databases and search, implement caching and event streaming, deploy AWS cloud-native services, ensure observability, mentor engineers, and lead architecture and performance initiatives end-to-end.

Design, implement, and optimize telecom billing platforms covering mediation, rating, charging, invoicing, and revenue assurance. Integrate OSS/BSS stacks, real-time charging (OCS/CCS), databases, and APIs; ensure compliance, reconcile revenue, optimize performance, and mentor junior engineers while supporting product launches.

The Robotics Engineer will design automated software tests, maintain robots for deployment, and collaborate with software developers to enhance product quality.

The Robotics Engineer will develop software solutions for robotic manipulation, design algorithms, and collaborate with the ML team on real robot deployments.

The role involves enhancing software reliability for robotic systems, leading discussions, and collaborating with machine learning and deployment teams to ensure integration of AI models.

The Software Engineer will optimize AI inference processes for robotic systems, ensuring high performance under varying constraints and building infrastructure for model integration.

Develop and optimize AI training pipelines, collaborate with researchers, ensure reliability and performance of training systems, and integrate advanced algorithms.

Develop and implement software for robotic systems focusing on navigation, planning, and integration of machine learning models.

As a Partner Deployed Engineer, you will enable Global Systems Integrators to deploy and scale AI solutions, leading technical training and supporting complex integrations while building strong relationships with partners.

This role involves ensuring product quality for AI workflows through testing strategies, debugging, and building QA processes to enhance software performance.