Top Tech Jobs & Startup Jobs in Pune

Build and maintain customer-facing single-page applications and backend services. Collaborate with product and engineering teams, follow Zendesk standards, write high-quality tested code, participate in design and code reviews, and support the full SDLC to improve the purchasing experience.

The Staff Software Engineer will lead system design, drive technical strategy, mentor engineers, and ensure high-quality software delivery while collaborating with product and design teams.

Design and lead secure, scalable AWS architectures including IAM/CIAM, serverless event-driven systems, data engineering platforms, Amazon Connect integrations, IaC with Terraform/CloudFormation, CI/CD pipelines, and cloud security/compliance guidance while collaborating across teams and documenting architecture decisions.

The Senior Product Manager will drive product strategy and development, collaborating with cross-functional teams to enhance customer experience, focusing on AI and SaaS solutions.

As a Software Engineering Manager, you will lead the Data Applications Engineering team, fostering collaboration, ensuring coding excellence, and managing project lifecycles while also being hands-on with technical challenges.

Own and develop Zendesk's core User model at scale. Design and implement backend features, collaborate with tech leads, product and design, triage customer issues, provide production support, improve observability/performance/security, run code reviews and pairing, and mentor engineers. Work primarily in Ruby on Rails with MySQL/Redis in a hybrid Pune-based role (3 days in office).

The Senior Services Consultant leads technical delivery for customers, ensuring technically sound solutions. Responsibilities include design documentation, configuring services on AWS, and training clients.

Lead technical delivery for large, complex features and platform components; mentor engineers; influence architecture; and improve developer productivity.

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.

Lead architecture and delivery of enterprise-scale full‑stack features, own end-to-end implementation, mentor engineers, collaborate with product and design, triage production issues, and improve system reliability, performance, and observability.