Top Tech Jobs & Startup Jobs in Pune

The Staff Machine Learning Engineer will architect and implement scalable GenAI platform solutions, ensuring reliability and safe AI experiences across product lines while mentoring engineers and leading technical strategies.

As a Senior ML Engineer, you'll design production-grade systems for LLM benchmarking, develop LLM Proxy functionality, implement monitoring, and lead automation efforts, collaborating with cross-functional teams to enhance AI-driven experiences at Zendesk.

The Staff Software Engineer will lead design and delivery of scalable systems, mentor engineers, improve technical practices, and influence architectural direction in AI-augmented customer experience products.

This role involves collaborating on frontend development using JavaScript and React.js, ensuring best practices, participating in code reviews, and building services within an agile team.

The role involves frontend software development, collaborating on technical solutions, ensuring code quality, and maintaining systems. Requires expertise in JavaScript and frameworks like React.

Design, build, and maintain third-party connectors using the Connector SDK. Define reusable connector bundles and patterns, lead technical design, collaborate with SDK/platform teams, apply AI to streamline connector creation, and mentor engineers while ensuring scalability, security, observability, and CI/CD best practices.

As a Senior Software Engineer at Zendesk, you will develop backend solutions, collaborate with teams, ensure code quality, and mentor junior developers.

Serve as the finance-focused IT business systems analyst for Netsuite and related SaaS tools. Gather and document requirements, lead functional design, support UAT, enable cross-functional delivery using agile practices, and guide change management to optimize R2R and S2P value streams.

As a Staff Software Engineer, you will design, develop, and maintain data store components, collaborating with teams to create efficient solutions using tools like Golang and Kubernetes in a hybrid work environment.

Responsible for designing, building, and maintaining a real-time data ingestion platform, focusing on data quality, scalability, and observability while collaborating across teams.