1 day ago
Pune, IndiaStaff+
Responsibilities
- Lead the overall engineering and development of the multiyear SOLD platform initiative.
- Drive requirements discovery, initiative and delivery planning, roadmap development, and stakeholder management.
- Design and operate cloud platforms using Azure, Kubernetes, containerization, Infrastructure as Code, and platform operations practices.
- Build scalable software services, APIs, and integration frameworks using Python and/or Java.
- Deploy and operationalize LLMs, manage model lifecycles, support prompt orchestration and vector databases, and implement AI observability.
- Apply DevSecOps and enterprise security practices, including automated testing, secrets management, vulnerability remediation, and secure-by-design engineering.
- Support data pipelines, data quality controls, metadata management, and retrieval-augmented generation architectures.
- Manage AI governance, model risk controls, AI guardrails, responsible AI practices, and regulatory compliance requirements.
- Lead or coordinate engineering teams, mentor colleagues, manage risks and controls, and advise stakeholders on technical and strategic decisions.
Requirements
- Experience with cloud platform engineering, preferably Azure, including Kubernetes, containerization, Infrastructure as Code with Terraform or Bicep, and platform operations.
- Experience with software engineering and API development using Python and/or Java, including scalable services and integration frameworks.
- Experience with AI platform and MLOps engineering, including LLM deployment and operationalization, model lifecycle management, prompt orchestration, vector databases, and AI observability.
- Experience with DevSecOps and enterprise security, including CI/CD pipelines, automated testing, secrets management, vulnerability remediation, and secure-by-design practices.
- Experience with SOLD Simplification or comparable platform modernization, compliance, hardware refresh, and redundant-functionality removal initiatives.
- Preferred experience in financial services, particularly Payments, Cash Management, Liquidity, Treasury, or Transaction Banking platforms.
- Preferred experience with data engineering, analytics, data pipelines, data quality, metadata management, and RAG architectures.
- Preferred experience with AI governance, model risk controls, AI guardrails, responsible AI, and regulatory compliance.
- Preferred experience with SRE and platform operations, including monitoring, resiliency engineering, incident management, capacity planning, and operational excellence.
- Ability to provide technical leadership, manage risks and controls, collaborate with senior stakeholders, and guide engineering teams or specialists.
Benefits
- The role is based in Barclays’ Pune office.
Tech Stack
Categories
About Barclays
Barclays is a UK‑based universal bank that provides retail and commercial banking, credit cards (Barclaycard), wealth management, and investment banking to consumers, businesses, and institutions. Publicly listed in London and New York, it generates revenue from net interest income, fees, and markets activities, and operates across Europe, the Americas, the Middle East, and Asia. Founded in 1690 and headquartered in London, it serves customers through digital channels and a branch network.