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- Tasks: Join our engineering team to design and build innovative cloud infrastructure and automation solutions.
- Company: Agentic AI, a leader in security data and AI technology.
- Benefits: Generous salary, pension contributions, flexible working, and 30 days holiday.
- Other info: Dynamic work environment with opportunities for mentorship and career growth.
- Why this job: Be at the forefront of AI and cloud technology, shaping the future of security platforms.
- Qualifications: Experience in DevOps, cloud engineering, and AI-enabled systems is essential.
The predicted salary is between 72702 - 85000 £ per year.
SALARY: £72,702 - £85,000 per annum
LOCATION: Leeds, Edinburgh, Manchester
HOURS: Full-time - 35 hours
WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. Colleagues with disabilities can be supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy.
What you’ll be doing:
- Join our engineering team within the Security Data and AI Lab, part of the Chief Security Office (CSO). We recognise the transformative impact of data, AI and cloud infrastructure on how security platforms are built and operated.
- With a modern engineering toolset and strong platform foundations, capabilities are growing to include intelligent automation alongside traditional DevOps and cloud engineering practices.
- This role is suited to an experienced DevOps / Cloud Engineer who combines strong platform engineering expertise with the curiosity and capability to design and build agentic systems.
Key responsibilities include:
- Cloud & Platform Engineering: Design, implement, and operate scalable, secure, and reliable cloud infrastructure, primarily on Google Cloud Platform, using Infrastructure as Code (IaC).
- Own end to end solutions, from design and implementation through to live service operation and continuous improvement.
- Define and enhance platform standards, patterns, and guardrails to improve reliability, security, and developer experience.
- Monitor platform and pipeline performance, diagnose issues, and drive optimisations to ensure high availability and resilience.
- DevOps & Automation: Design, build, and maintain CI/CD pipelines to streamline application and platform delivery.
- Lead the automation of repeatable operational processes, reducing manual intervention and increasing consistency.
- Integrate security controls, compliance requirements, and policy as code into pipelines and runtime environments.
- Maintain clear, up to date documentation covering infrastructure, deployment processes, and operational procedures.
- Agentic & AI Enabled Engineering: Design and develop agentic automation capabilities, where software agents can reason over goals and constraints, plan and complete actions, interact with tools, APIs, and cloud services, collaborate with human led workflows.
- Engineer production ready agent runtimes, including state management, tooling execution, observability, and failure handling.
- Extend DevOps and platform tooling to safely support agentic, automated and user-centered workflows, ensuring appropriate controls, permissions, and auditability.
- Apply engineering rigour to emerging AI patterns, ensuring solutions are scalable, secure, and operable in an enterprise security context.
- Collaboration & Technical Leadership: Work closely with Product Owners, engineers, and security collaborators to build and deliver customer focused products.
- Act as a technical authority and mentor, supporting the development of colleagues across DevOps, cloud, and emerging AI practices.
- Promote Agile ways of working and a culture of continuous improvement, experimentation, and learning.
- Contribute beyond your immediate delivery scope, engaging in lab wide and platform level initiatives.
What we’re looking for:
- Experience with agentic or AI enabled engineering, including building or operating agent based automation that reasons, plans, and interacts with tools or cloud services.
- Strong cloud & platform engineering experience, designing and operating secure, scalable, highly available platforms - ideally on Google Cloud Platform - using Infrastructure as Code.
- End to end DevOps ownership, covering design, build, deployment, live service operation, monitoring, and ongoing improvement of production platforms.
- Deep experience with CI/CD and automation, including building and maintaining pipelines, automating operational processes, and reducing manual intervention.
- Proven ability to embed security and compliance by design, integrating policy as code, security controls, and auditability across pipelines and runtime environments.
- Hands on experience building production grade platforms, with strong observability, resilience, incident diagnosis, and performance optimisation.
- Technical leadership and collaboration skills, working closely with product, engineering, and security partners, mentoring others, and contributing to platform wide standards and ways of working.
And any experience of these would be great:
- Exposure to enterprise scale data or agentic products, particularly in regulated or security sensitive environments.
- Experience shaping platform standards and developer experience, influencing patterns, guardrails, and protocol across multiple teams.
We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns.
Benefits package:
- A generous pension contribution of up to 15%
- An annual bonus award, subject to Group performance
- Share schemes including free shares
- Benefits you can adapt to your lifestyle, such as discounted shopping
- 30 days' holiday, with bank holidays on top
- A range of wellbeing initiatives and generous parental leave policies
DevOps / Platform Engineer - Agentic AI in Leeds employer: Lloyds Banking Group
Contact Detail:
Lloyds Banking Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DevOps / Platform Engineer - Agentic AI in Leeds
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to cloud and DevOps. It’s a great way to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios. Think about how you’d tackle real-world problems they might throw at you, especially around automation and CI/CD.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace DevOps / Platform Engineer - Agentic AI in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your cloud engineering expertise and any experience with agentic systems to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this role. Share specific examples of your past work in DevOps and how it aligns with what we’re doing at StudySmarter.
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links to your GitHub or any other platforms where we can see your work in action, especially if it involves CI/CD pipelines or cloud infrastructure.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at Lloyds Banking Group
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Google Cloud Platform and Infrastructure as Code. Brush up on your CI/CD pipeline knowledge and be ready to discuss how you've implemented these in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've diagnosed issues and optimised platform performance. Think about challenges you've faced in previous roles and how you tackled them, particularly in relation to automation and security.
✨Demonstrate Collaboration
This role involves working closely with various teams, so be ready to talk about your experience collaborating with product owners and engineers. Highlight any mentoring you've done and how you’ve contributed to a culture of continuous improvement.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the company’s approach to AI and cloud engineering. Inquire about their current projects or challenges they face in implementing agentic systems, which will demonstrate your enthusiasm and understanding of the role.