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Lead Platform Engineer

barclays.co.uk Logo

Barclays

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Location:
United Kingdom , London

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

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

Job Responsibility:

  • 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
  • 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

Requirements:

  • Hands-On Technical Leadership: Deliver core platform components (Python services, orchestration, GPU clusters, inference gateways, model registries)
  • Technical Strategy & Direction: Define and evolve the technical roadmap for AI enablement—covering generative AI, LLMOps, model serving, and data pipelines
  • Platform at Scale: Apply experience running large-scale distributed platforms with high reliability, cost efficiency, and security
  • Gen AI Expertise: Understand unique challenges in Generative AI (e.g., latency, cost, safety, evaluation, fine-tuning) and design solutions accordingly
  • Plugged into AI Developments: Stay current with emerging AI trends, foundation models, open-source tooling, and best practices
  • bring insights into platform evolution
  • Governance & Risk Management: Embed secure-by-design principles, compliance controls, and auditability into platform architecture
  • Ensure adherence to data privacy, model governance, and AI safety standards
  • Partner with Risk, Compliance, and Cyber teams to mitigate operational and regulatory risks
  • Build High-Quality Systems: Write clean, maintainable code
  • enforce best practices in CI/CD, testing, observability, and secure coding
  • Mentorship & Talent Development: Coach engineers on advanced AI infrastructure patterns, performance tuning, and cloud-native design
  • Cross-Team Collaboration: Work closely with front-office developers, internal platforms, and infra teams to align technical solutions with business needs
  • Operational Excellence: Drive reliability (SLOs), cost optimization, and incident response for AI platform services
  • Expert-level Python for backend and infrastructure tooling
  • Deep AWS expertise (IAM, KMS, EKS, ECS, Lambda, Glue, Step Functions, MSK, Bedrock)
  • Proven experience running platforms at scale (high availability, cost optimization, observability)
  • Strong grasp of Generative AI challenges: inference optimization, model lifecycle, evaluation, safety guardrails
  • Ability to lead by doing—hands-on coding, debugging, and performance tuning
  • Awareness of AI/ML infrastructure trends and ability to integrate emerging technologies
  • Strong sense of Governance and Risk Management for AI workloads

Nice to have:

  • Azure exposure and hybrid cloud strategies
  • On-prem Kubernetes and GPU cluster experience
  • Familiarity with quant workflows and financial data patterns
  • Experience with fine-tuning and custom model deployment
What we offer:
  • Competitive holiday allowance
  • Life assurance
  • Private medical care
  • Pension contribution
  • Supporting active commuters
  • Time to connect
  • Wellbeing in focus
  • Advanced trading floors
  • Hybrid working

Additional Information:

Job Posted:
January 04, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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