Top Tech Jobs & Startup Jobs in Pune

Lead global regulatory authorisations, licensing and cross-border governance. Oversee lifecycle of permissions, data stewardship, policy and control frameworks, incident investigations, stakeholder engagement, and training to ensure licence-to-operate and regulatory compliance.

Lead engineering teams developing high-quality software for Barclays’ digital mortgage ecosystem. Responsibilities include technical guidance, team allocation, delivery planning, risk management, mentoring, performance reviews, process improvement, stakeholder collaboration, requirements analysis, architecture, peer reviews, testing, and enforcing technology standards. The role requires strong object-oriented distributed-systems development, microservices, databases, DevOps automation, Agile delivery, secure development, and AI-enabled development practices.

Leads engineering teams responsible for infrastructure, deployment pipelines, platform resilience, and software delivery excellence. Provides technical direction, mentors engineers, manages resources, risks, timelines, and budgets, and drives automation-first DevOps practices. Partners with product, architecture, security, vendors, and cross-functional teams to align technical solutions with business objectives. Oversees CI/CD, cloud and on-premises infrastructure, secure software development, observability, Agile delivery, governance, and continuous improvement across distributed teams.

Design, develop, and improve scalable, secure software platform capabilities; collaborate with product, design, and engineering peers; participate in code reviews, unit testing, and adopt secure coding practices; advise stakeholders and contribute to strategy, risk management, and technical leadership.

Negotiates, drafts, reviews, and executes financial markets agreements and collateral documentation for global Markets clients. The role manages transaction diligence, coordinates with legal, credit risk, sales, trading, tax, treasury, and onboarding teams, ensures regulatory compliance, provides legal guidance, and improves transaction processes, controls, and documentation workflows. It requires expertise in ISDA, GMRA, GMSLA, and related agreements, including margin and collateral requirements.

Leads enterprise test engineering by designing test strategies, building automation frameworks, and managing end-to-end testing across API, integration, system, UAT, and nonfunctional testing. Drives CI/CD quality gates, continuous testing, defect prevention, quality metrics, root cause analysis, and automation coverage improvements. The role leads test engineering teams, manages stakeholders, supports Agile delivery, and advances quality transformation across cloud, microservices, and distributed systems.

Leads software engineering teams delivering Generative AI and data engineering solutions. Responsibilities include technical leadership, mentoring, resource and risk management, process improvement, stakeholder collaboration, engineering standards, testing, governance, and delivery oversight. The role drives scalable, secure cloud-native solutions involving LLMs, AI assistants, RAG, agentic workflows, and responsible AI while aligning technology roadmaps with business objectives.

Designs, governs, and delivers enterprise infrastructure across operating systems, databases, storage, virtualization, middleware, and cloud platforms. Responsibilities include capacity planning, performance optimization, automation, incident management, security, disaster recovery, cloud migration, infrastructure modernization, and technical governance. The role coordinates with application, operations, cloud, and service provider teams; develops reporting dashboards; ensures regulatory and control compliance; and provides technical leadership and stakeholder guidance.

The GCP Product Manager will guide product development, align strategies with business goals, ensure compliance with regulations, and leverage analytics for decision-making.

Build and maintain data architectures, pipelines, warehouses, and lakes that ensure accurate, accessible, secure, and reliable data. Develop processing and analysis algorithms for complex, high-volume data and collaborate with data scientists to deploy machine learning models. Set technical strategy, advise senior stakeholders, manage risks and controls, guide technical direction, lead teams or specialist assignments, and drive continuous improvements aligned with business objectives.