Top Tech Jobs & Startup Jobs in Pune

Leads end-to-end delivery of complex technical epics and engineering initiatives across multiple teams. Responsibilities include planning, estimation, dependency and risk management, Agile delivery, governance, stakeholder communication, milestone tracking, and executive reporting. The role requires strong software development lifecycle knowledge, engineering delivery experience, and the ability to translate technical issues into business outcomes. Experience with AI, Generative AI, Machine Learning, cloud, data, API, or enterprise-scale initiatives is advantageous.

Design and develop a scalable automated locates platform for securities finance using Java, Spring, microservices, distributed systems, containers, AWS, SQL, caching, and messaging technologies. Build high-performance enterprise applications, optimize transactional data models and queries, integrate real-time processing systems, and collaborate with development, business analysis, QA, and operations teams.

Lead end-to-end delivery of production-grade ML, Generative AI, and RAG solutions across multiple pods. Develop architecture-aligned delivery plans, manage dependencies, risks, releases, NFRs, and production readiness, while representing teams in senior governance forums. Guide ML versus GenAI decisions, RAG implementation, evaluation, guardrails, security, monitoring, and responsible model usage. Translate technical requirements into actionable epics and stories and ensure measurable business outcomes.

Lead business analysis for insurance-domain transformation programs: gather requirements, consult on processes and customer onboarding, optimize workflows, work with cross-functional teams, manage senior stakeholders, and apply CRM (Salesforce) knowledge. Familiarity with transformation delivery lifecycles, operating models, and governance (HSBC experience preferred). Strong communication and analytical skills required for fast-paced enterprise environments.

Build, manage, and automate scalable GCP infrastructure using Terraform. Provision core GCP services, develop CI/CD pipelines, implement monitoring and security best practices, collaborate with data engineers, and continuously improve platform reliability and automation under the platform lead.

Seeking an experienced GCP Data Engineer to develop, maintain data pipelines, and optimize SQL queries in BigQuery, collaborating with teams to deliver data solutions.

Lead development and deployment of production ML models and analytics for wealth management and retail banking. Analyze large datasets, design predictive solutions (segmentation, churn, personalization, risk), build data pipelines and feature engineering, monitor model performance, drive MLOps and responsible AI practices, and communicate insights to stakeholders.

The role involves developing automated solutions for guest access management in SharePoint Online, integrating with tools like ServiceNow/JIRA, and maintaining CI/CD processes.

The Senior Data Engineer will lead requirements gathering, document business needs, manage projects, drive testing, and improve productivity in data engineering applications.

Reviews liquidity risk reports, validates data and reconciliations, analyzes requirements gaps, and supports regulatory finance transformation initiatives. Coordinates with global Finance, IT, Design, and business teams to resolve data quality issues, manage requirements workstreams, improve reporting controls, and deliver sourcing and process changes. Facilitates governance, issue resolution, stakeholder communication, and operational risk management across multiple regions.