Lead Engineer
Barclays
Date: 2 weeks ago
City: London
Contract type: Full time

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:
This role will be based out of our Radbroke or London/ Shoreditch campus.
Purpose of the role
To lead and manage engineering teams, providing technical guidance, mentorship, and support to ensure the delivery of high-quality software solutions, driving technical excellence, fostering a culture of innovation, and collaborating with cross-functional teams to align technical decisions with business objectives.
Accountabilities
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
- 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
This role will be based out of our Radbroke or London/ Shoreditch campus.
Purpose of the role
To lead and manage engineering teams, providing technical guidance, mentorship, and support to ensure the delivery of high-quality software solutions, driving technical excellence, fostering a culture of innovation, and collaborating with cross-functional teams to align technical decisions with business objectives.
Accountabilities
- Lead engineering teams effectively, fostering a collaborative and high-performance culture to achieve project goals and meet organizational objectives.
- Oversee timelines, team allocation, risk management and task prioritization to ensure the successful delivery of solutions within scope, time, and budget.
- Mentor and support team members' professional growth, conduct performance reviews, provide actionable feedback, and identify opportunities for improvement.
- Evaluation and enhancement of engineering processes, tools, and methodologies to increase efficiency, streamline workflows, and optimize team productivity.
- Collaboration with business partners, product managers, designers, and other stakeholders to translate business requirements into technical solutions and ensure a cohesive approach to product development.
- Enforcement of technology standards, facilitate peer reviews, and implement robust testing practices to ensure the delivery of high-quality solutions.
- Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
- Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
- Take ownership for managing risk and strengthening controls in relation to the work done.
- Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
- Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
- Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
- Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
- Influence or convince stakeholders to achieve outcomes.
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