Top Tech Jobs & Startup Jobs in Pune

Lead end-to-end architecture and delivery of full-stack systems using Java/Spring Boot, React/GraphQL, and AWS. Mentor developers, design scalable microservices and IaC with Terraform, build CI/CD pipelines, implement observability, enforce security best practices, and drive performance and reliability improvements.

The Principal Engineer will lead AI architecture design, oversee data governance, mentor developers, and ensure project delivery aligned with business value measures.

Lead AI/ML projects, design scalable architectures, translate business needs into technical solutions, and ensure best practices in implementation.

Design and implement scalable Generative AI solutions. Collaborate with cross-functional teams to convert business needs into AI solutions. Oversee architecture and evaluate the performance of AI systems on cloud platforms.

Lead enterprise architecture and implementation for ITSM, ITAM, and ITOM. Define standards, improve data governance, and mentor teams.

The Associate Staff Engineer will lead AI research projects, prototype scalable systems, publish research, mentor teams, and align technical solutions with client needs.

Lead functional analysis and solution design for HCM/WFM enterprise implementations. Translate complex business requirements into platform-agnostic blueprints, support pre-sales and POCs, perform gap-fit analysis, guide UAT and production rollouts, and collaborate with cross-functional teams to deliver ROI-driven solutions.

The Staff Engineer, QA Automation will lead mobile and API testing, leveraging strong skills in automation, CI/CD practices, and collaboration within Agile teams.

Translate client use cases into technical designs and architectures for generative AI solutions. Define technologies, NFRs, benchmarks, and design documents. Review and guide implementation for scalability, security, and extensibility, resolve technical issues, and run POCs to validate solutions.

Lead design and delivery of generative AI solutions: translate client needs into architectures, define technologies and NFRs, implement RAG and fine-tuning approaches, run POCs, review designs, and ensure production deployments and MLOps automation.