Lead Platform Engineer at Barclays | NY | Rezi

Lead Platform Engineer at Barclays

Lead Platform Engineer

Barclays · NY

Yesterday

Lead Platform Engineer

Barclays · NY

2 days ago
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About the Role

Design, develop, and improve software utilizing various engineering methodologies to provide business, platform, and technology capabilities for customers and colleagues.

Responsibilities

  • Develop and deliver high-quality software solutions using industry-aligned programming languages, frameworks, and tools, ensuring code is scalable, maintainable, and optimized for performance.
  • Collaborate cross-functionally with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration with business objectives.
  • Participate in code reviews and promote a culture of code quality and knowledge sharing.
  • Stay informed of industry technology trends and innovations, contributing to technology communities to foster technical excellence and growth.
  • Adhere to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
  • Implement effective unit testing practices to ensure proper code design, readability, and reliability.
  • Build and lead the global Front-Office (FO) engineering success function across New York, London, and APAC.
  • 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.
  • 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.
  • Guide global front-office teams on secure and scalable usage of AWS services (S3, IAM, Lambda, ECS/EKS, Step Functions, CloudWatch, Glue, CDK/CloudFormation).
  • Provide hands-on help with debugging, deployment, permissions, networking, and performance on AWS.
  • 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.
  • 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.
  • 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.
  • 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.

Requirements

  • Provide expert advice to senior functional management and committees to influence decisions 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.
  • Escalate breaches of policies/procedures appropriately.
  • Foster and guide compliance, ensuring regulations are observed and relevant processes are in place to facilitate adherence.
  • Focus on the external environment, regulators, or advocacy groups to monitor and influence on behalf of Barclays.
  • Demonstrate extensive knowledge of how the function integrates with the business division/Group to achieve 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 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/business divisions.
  • Demonstrate clear leadership behaviors to create an environment for colleagues to thrive and deliver to a consistently excellent standard (Listen and be authentic, Energise and inspire, Align across the enterprise, Develop others).
  • Demonstrate Barclays Values (Respect, Integrity, Service, Excellence, Stewardship) and Barclays Mindset (Empower, Challenge, Drive).
  • 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.

Skills

  • Python
  • AWS
  • IAM
  • S3
  • Lambda
  • ECS/EKS
  • Step Functions
  • CloudWatch
  • Glue
  • CDK/CloudFormation
  • AI/ML concepts
  • Model inference
  • RAG
  • Embeddings
  • Vector stores
  • Latency optimisation
  • Guardrails
  • LiteLLM
  • MLflow
  • Langfuse
  • Mem0
  • Databricks
  • SageMaker
  • Observe
  • Docker
  • Observability tooling

Location

  • New York
  • London
  • APAC

Work Type

  • Full-time

Experience Level

  • Senior
  • Leadership

Salary/Compensations

  • $220,000
  • $300,000

About the Company

  • Barclays is a global financial services provider engaged in retail banking, credit cards, corporate and investment banking, and wealth management services.