DevOps Engineering Manager

United Kingdom
3 weeks ago
Applications closed

Related Jobs

View all jobs
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required

GRC Analyst

Synthesia London, United Kingdom
Remote

Release Manager

Wayve London, United Kingdom
On-site

Release Manager

Wayve United Kingdom
On-site

Platform Engineer

Luminance Cambridge, United Kingdom
Hybrid

DevOps Consultant

PhysicsX London, United Kingdom
Hybrid

DevOps Consultant

PhysicsX United Kingdom
Hybrid
Job Type
Permanent
Work Location
Hybrid
Seniority
Lead
Education
Degree
Posted
24 Apr 2026 (3 weeks ago)

DevOps Team Leader | Deployment Services | Hybrid Working | Athens

Introduction:

Ocado Technology is changing the way the world shops using advanced Artificial Intelligence, Machine Learning, Robotics, Big Data, Cloud and IoT. We develop the innovative software and hardware systems that power Ocado.com, as well as the unique ‘Ocado Smart Platform’ which is being implemented by ambitious retailers across the world from Europe to America, Asia and beyond.

Ocado Technology - Greece (acquisition):https://www.myrmex-inc.com/blog/19

Our R&D department is based in Athens, Greece, where a team of brilliant engineers are developing disruptive material handling systems for the online grocery industry and other retail verticals. We pioneer innovative order fulfilment solutions and last-mile delivery business models tailored for retailers and supply chain-intensive sectors. Our mission is to assist them in overcoming the challenges inherent in modernising their systems and processes to effectively address complex industry issues. Some of the most innovative retailers globally have already partnered with us, and we are delivering products and services for them.

If you are excited about the cross-section where machines meet humans, about the future of work, retail and supply chains, and want to help transform the European logistics industry via Greek technologies, we are interested in getting to know you.

About the Role

As the DevOps Team Leader, you will drive the technical development of our software architecture for Siemens and Beckhoff PLC deployments across a global estate of over 6,000 devices. You will lead a team in creating reliable, SOC2-compliant deployment processes and maintain our core "Station-Builder" application using C# and React.

Combining technical leadership with hands-on engineering, you will mentor the team through agile ceremonies and architectural reviews to ensure high-quality delivery. By exploiting peripheral SDKs and optimizing AWS infrastructure, you will play a critical role in evolving the automated pipelines that power our international logistics success.

Key Responsibilities

  • Drive the technical development and continuous improvement of CI/CD pipelines for Siemens and Beckhoff PLC deployments.
  • Lead and facilitate work review sessions to make key technical and architectural decisions.
  • Develop and maintain the "Station-Builder" core using C#, ASP.NET, and .NET 9.0.
  • Create and improve automated testing pipelines (Unit, Integration, E2E) as part of the CI/CD process.
  • Optimise CI/CD runner efficiency for heavy Windows-based workloads, including TIA Portal and TwinCAT environments.
  • Automate the deployment of PLC 'Boot Projects' and hardware configurations to distributed on-site assets.
  • Manage and maintain cloud infrastructure and pipelines via AWS and GitLab.
  • Mentor and coach the team on new coding practices, architecture, and design.
  • Lead agile ceremonies, including stand-ups, sprint planning, grooming, and retrospectives.
  • Ensure all deployment processes and pipelines remain SOC2 compliant and adhere to SDLC guidelines.

What We’re Looking For

Essential

  • Strong background in Object-Oriented Programming (C#, .NET, or Java) and OO principles.
  • Proven experience in Software Development with a focus on product development and scalable architecture.
  • Deep understanding of CI/CD pipelines, GitLab, and cloud services (AWS).
  • Experience with testing principles and the testing pyramid (Unit, Integration, End-to-End).
  • Knowledge of Windows and Linux operating systems, plus Python 3 scripting.
  • Strong communication skills with the ability to interact robustly with internal stakeholders.
  • A 2:1 or 1st class degree in Computer Science, Software Engineering, or a highly numerate subject.

Nice to Haves

  • Familiarity with Siemens TIA Openness API or Beckhoff TwinCAT .NET library.
  • Experience with React for front-end tooling development.
  • Knowledge of Google BigQuery or SQL.
  • Experience working within an Agile methodology.

Benefits

Our employee benefits are designed for you. We care about people and we've ensured we have a wealth of benefits that focus on your well-being. We regularly review our benefits to ensure we are supporting our employees appropriately. Currently, we offer technically stretching work, a competitive salary and:

  • A hybrid working policy that sees you in the office typically 40% of your time.
  • 30 days 'working from anywhere' policy
  • Private Medical Insurance
  • Meal tickets
  • Home office equipment
  • Opportunity to participate in share schemes
  • Regular divisional socials, sports clubs and access to the Ocado Technology Academy for a packed schedule of courses, conferences and events.

If you think you have what it takes to make a difference, please submit your application below.

Be bold, be unique, be brilliant, be you. We are looking for individuality and we value diversity. We are an equal opportunities employer and we are committed to treating all applicants and employees fairly and equally. We are committed to making reasonable adjustments to provide a positive, barrier-free recruitment process and supportive work environment. If you have any support or access requirements, we encourage you to advise us at the time of application.

#LI-HYBRID

#LI-OT

#LI-JT1

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Where to advertise machine learning jobs UK in 2026: the specialist boards and communities that reach ML, MLOps and deep learning engineering talent. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine Learning Jobs UK 2026: roles, salaries and the MLOps, LLM and generative AI hiring trends shaping UK ML careers over the next three years. Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.