Job DescriptionPurpose of the roleTo design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.
Accountabilities- 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.
Director Expectations- Provide expert advice to senior functional management and committees to influence decisions made outside of own function, offering significant input to function wide strategic initiatives.
- Manage, coordinate and enable resourcing, budgeting and policy creation for a significant sub-function.
- Escalates breaches of policies / procedure appropriately.
- Foster and guide compliance, ensure regulations are observed that relevant processes in place to facilitate adherence.
- Focus on the external environment, regulators, or advocacy groups to both monitor and influence on behalf of Barclays, when appropriate.
- Demonstrate extensive knowledge of how the function integrates with the business division / Group to achieve the overall business objectives.
- Maintain broad and comprehensive knowledge of industry theories and practices within own discipline alongside up-to-date relevant sector / functional knowledge, and insight into external market developments / initiatives.
- Use interpretative thinking and advanced analytical skills to solve problems and design solutions in often complex/ sensitive situations.
- Exercise management authority to make significant decisions and certain strategic decisions or recommendations within own area.
- Negotiate with and influence stakeholders at a senior level both internally and externally.
- Act as principal contact point for key clients and counterparts in other functions/ businesses divisions.
- Mandated as a spokesperson for the function and business division.
All Senior Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others.
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
Salary / Rate Minimum: $220,000
Salary / Rate Maximum: $300,000
The minimum and maximum salary/rate information above includes only base salary or base hourly rate. It does not include any another type of compensation or benefits that may be available.
Key Responsibilities1. Global Front-Office Success Engineering Leadership- Build and lead the global FO engineering success function across New York, London, and APAC users.
- Build trusted relationships with Quants and Strats worldwide, understanding differing desk-specific needs.
- Prioritize and manage work intake globally based on business impact and urgency.
- Serve as the voice of FO users to influence platform roadmap and feature prioritization.
2. Hands-On Engineering & Troubleshooting- Write high-quality Python code for automation, integrations, internal utilities, and FO tooling.
- Diagnose complex issues across cloud (AWS), distributed systems, Python stacks, notebooks, model pipelines, and APIs.
- Deliver engineering solutions that reduce recurring FO friction and accelerate delivery.
3. AWS Engineering Support- Guide global front-office teams on secure and scalable usage of AWS services such as:
S3, IAM, Lambda, ECS/EKS, Step Functions, CloudWatch, Glue, and CDK/CloudFormation. - Provide hands-on help with debugging, deployment, permissions, networking, and performance.
4. AI/ML Enablement- Help global FO teams onboard onto platform AI features such as inference gateways, embeddings, evaluation tools, and tracing.
- Provide guidance on AI/ML concepts:
model inference, RAG, embeddings, vector stores, latency optimisation, guardrails. - Support adoption of tools such as LiteLLM, MLflow, Langfuse, Mem0, Databricks, SageMaker, and Observe.
5. Developer Experience & Operational Excellence- Establish global support processes, workflows, and standards.
- Identify patterns in recurring issues and partner with platform engineering to eliminate them via features or automation.
- Develop and maintain documentation, onboarding guides, and best practices tailored for FO developers.
- Drive proactive monitoring of systems impacting FO teams.
6. Leadership & Mentorship- Lead and mentor a small team of engineers focused on FO success.
- Set strong engineering standards for code quality, reliability, and FO responsiveness.
- Promote a culture of collaboration, empathy, accountability, and excellence.
7. Governance & Risk Management- Ensure all FO support and deployment workflows comply with governance, model controls, and data privacy requirements.
- Promote secure-by-default patterns across global FO usage.
- Help enforce model governance standards and audit requirements.
Required Skills & Experience- Strong Python engineering experience (backend, tooling, automation, debugging).
- Hands-on expertise with AWS: IAM, S3, Lambda, ECS/EKS, Step Functions, CloudWatch.
- Proven experience working with Quants, Strats, or front-office engineering teams.
- Solid understanding of AI/ML concepts (inference, vector search, embeddings, RAG, evaluation).
- Strong debugging abilities across cloud infra, Python environments, containers, and pipelines.
- Excellent communication and stakeholder management skills in high-pressure FO environments.
- Experience leading a technical team or owning a global-facing engineering function.
Desirable Skills- Familiarity with tools such as LiteLLM, MLflow, Databricks, SageMaker, Langfuse, Observe, Mem0.
- Understanding of financial markets, derivatives, FO analytics workflows, or pricing/risk models.
- Exposure to model governance, compliance, and data control frameworks.
- Experience with Docker, ECS/EKS, and platform observability tooling.
- Experience improving developer productivity or reliability at scale.
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