Entitlement Engineer

Barclays · Pune · Posted 2026-07-18

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About the role

To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.

Responsibilities:
- Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.
- Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
- Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
- Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.
- Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
- Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.

Qualifications:
- Experience with AI‑aware entitlements, including enforcing access prior to AI/LLM consumption.
- Familiarity with Model Context Protocol (MCP), context engineering, or entitlement‑aware AI pipelines.
- Cloud security knowledge (IAM concepts, secure APIs, service‑to‑service auth).
- Experience migrating entitlements from legacy IAM or bespoke systems.
- Markets domain knowledge (trade books, trader mapping, pricing/analytics data).
- Engineers who enjoy deep technical ownership in data security and platform integrity.
- Candidates are comfortable operating between engineering, governance, and business stakeholders.
- Professionals excited by AI‑ready data platforms where entitlements are mission‑critical, not an afterthought.
- This role will be based out of Pune.

Qualifications

- Experience with AI‑aware entitlements, including enforcing access prior to AI/LLM consumption.
- Familiarity with Model Context Protocol (MCP), context engineering, or entitlement‑aware AI pipelines.
- Cloud security knowledge (IAM concepts, secure APIs, service‑to‑service auth).
- Experience migrating entitlements from legacy IAM or bespoke systems.
- Markets domain knowledge (trade books, trader mapping, pricing/analytics data).
- Engineers who enjoy deep technical ownership in data security and platform integrity.
- Candidates are comfortable operating between engineering, governance, and business stakeholders.
- Professionals excited by AI‑ready data platforms where entitlements are mission‑critical, not an afterthought.
- This role will be based out of Pune.

Responsibilities

- Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools.
- Ensuring that code is scalable, maintainable, and optimized for performance.
- Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
- Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
- Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.
- Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
- Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.

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