Barclays Logo

Barclays

Lead Engineer

Posted Yesterday
Be an Early Applicant
In-Office
London, England, GBR
Senior level
In-Office
London, England, GBR
Senior level
Design, develop, and deploy scalable, secure software for Generative AI/LLM applications. Collaborate with product, design, and engineering peers, evaluate and optimize LLMs and prompts, enforce secure coding and unit testing, mentor team members, and deliver production-ready solutions using AWS and containerization technologies.
The summary above was generated by AI
Job Description

Purpose of the role

To 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.

Vice President Expectations

  • Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
  • Manage and mitigate risks through assessment, in support of the control and governance agenda.
  • Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
  • Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
  • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
  • Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
  • Adopt and include the outcomes of extensive research in problem solving processes.
  • Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

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.

We are looking for a Lead Engineer to spearhead one of our GenAI feature team’s developing applications that are used by thousands of colleagues on a daily basis. In this role, you will be developing and deploying applications to production that help Barclays to become more efficient.

As a lead engineer you will be an SME (Subject Matter Expert) within Barclays; helping to shape and guide our Generative AI strategy.

To be successful as a Lead Engineer you should have experience with:

  • Programming Language - Python
  • Working with Large Language Models (LLMs)
  • Working with AWS services i.e. Bedrock, Lambda, S3, Lex, CloudWatch
  • Evaluating LLMs and prompt optimisation
  • Strong communication and collaboration skills, with the ability to work in cross-functional teams
  • Mentor and develop team members, identifying talent gaps and fostering a culture of technical excellence and continuous improvement

Other highly valued skills include:

  • Experience developing AI applications within a regulated organisation
  • Knowledge of data engineering concepts
  • Knowledge of DevOps concepts. CI/CD i.e. Gitlab Runners, Jenkins and Infrastructure as Code i.e. Terraform, CloudFormation
  • Docker and container-based deployments to ECS and EKS

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills

This role will be based out of our Radbroke or London campus.

HQ

Barclays London, England Office

1 Churchill Place, Poplar, London, United Kingdom, E14 5HP

Barclays City of London, England Office

City of London, United Kingdom

Barclays City of Westminster, England Office

City of Westminster, United Kingdom

Barclays Ealing, England Office

Ealing, United Kingdom

Barclays Enfield, England Office

Enfield, United Kingdom

Barclays Kensington and Chelsea, England Office

Kensington and Chelsea, United Kingdom

Barclays Pinner, England Office

Pinner, United Kingdom

Barclays Walthamstow, England Office

Walthamstow, United Kingdom

Similar Jobs

2 Days Ago
Hybrid
Senior level
Senior level
Artificial Intelligence • Semiconductor
Lead the bring-up and characterisation of Graphcore silicon devices and system platforms. Build and lead a team to develop characterisation plans, automate measurements and testing, script data analysis, and validate silicon and system-level performance. Collaborate with architecture, silicon, hardware, operations and product teams to resolve technical issues and influence product design and capabilities.
Top Skills: AteDdrEthernetPcbaPcieSoc
3 Days Ago
Hybrid
London, Greater London, England, GBR
Senior level
Senior level
Financial Services
Lead backend platform engineer to design, build, and maintain Java/Spring Boot libraries and frameworks for asynchronous, distributed microservice ecosystems. Drive standardisation, tooling, SDLC practices, security and compliance, mentor engineers, collaborate with SDLC/infrastructure teams, and govern enterprise AI-assisted engineering practices to improve delivery, quality, and automation.
Top Skills: Ai-Assisted Development ToolsAPIsBashCi/CdDynatraceGithub ActionsGradleGrafanaGroovyJavaJenkinsMavenMicroservicesOpentelemetryPythonSpring BootTerraform
3 Days Ago
Hybrid
Senior level
Senior level
Financial Services
Lead and deliver cloud-native, microservices-based applications; design, develop, test, and troubleshoot secure, scalable systems; promote AI-assisted engineering practices, CI/CD, resiliency, automation, and operational stability while mentoring the team.
Top Skills: Ai-Assisted DevelopmentAngularAutomationAWSAzureCi/CdCloud-NativeCSSGCPHTMLJavaJavaScriptJSONMicroservicesNode.jsNoSQLReactRestful ApisSpring BootSQLTypescriptWebsockets

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account