Top Tech Jobs & Startup Jobs in Pune

Lead and manage an engineering team: hire, develop, and retain talent; drive delivery quality and metrics; design scalable event-driven and REST API solutions; collaborate with SRE on operational SLAs/SLOs; own CI/CD practices, system stability, performance, and cross-team integrations.

Validate and test models across credit risk, marketing, fraud, and account management; use GCP to automate workflows; execute AI validation projects; collaborate cross-functionally; contribute to AI/model risk management policies and maintain regulatory best practices.

Manage uptime across cloud-native and hybrid architectures, build IaC with Terraform and cloud SDKs, create CI/CD pipelines, automate deployments and runbooks, triage incidents, perform on-call incident response, lead postmortems, and improve system reliability and MTTR.

Design, develop, test, deploy, and operate scalable backend-to-UI applications. Work in agile teams on microservices, serverless, CI/CD, and cloud platforms; troubleshoot performance and integrate with internal systems.

Perform independent data analysis and prepare scalable, repeatable code and processes. Integrate disparate data sources, run and optimize metrics and reports, identify anomalies, collaborate with Data, Product, and Technology teams, and communicate findings and business impacts to stakeholders while ensuring data governance and compliance.

Develop and execute test plans, automate tests and build test harnesses, monitor product quality, document defects, collaborate with engineering and product teams, and apply performance and resilience testing in cloud environments.

Lead model risk management team to validate statistical and advanced AI models. Perform hands-on validations, design test plans, assess documentation/code, develop validation methods for generative/agentic AI and unstructured data, mentor staff, advise stakeholders, and support regulatory inquiries.

Design, build, and maintain data pipelines and models on GCP; integrate, cleanse, and prepare large datasets; implement data quality checks and security best practices; troubleshoot data issues; mentor junior data engineers and review their work.

Designs, develops, tests, and operates high-scale backend and UI applications using Java, frontend frameworks, and cloud platforms. Contributes to estimations, architecture discussions, CI/CD, and integration with internal systems. Troubleshoots performance issues, documents code, and works in agile teams to deliver microservices and data products with emphasis on scalability, security, and operational excellence.

Design, develop, test, deploy, and operate scalable backend-to-UI applications. Participate in estimation, architecture, and agile delivery. Troubleshoot performance and production issues, apply modern practices like microservices, CI/CD, and cloud, and document code for team collaboration.