Staff Release Engineer
AI in this role
Job title: Staff Release Engineer
Location: London or Bristol (Including Hybrid)
Salary: £93,600 - £117,000
Team: Release Engineering
Reporting To: Software Engineering manager
This role is based in the UK and requires an existing right to work in the UK. At this time, we are not able to offer visa sponsorship for this role. We are committed to building a diverse, global team and our sponsorship policy is evaluated on a role-by-role basis. We encourage you to keep an eye on our careers site to stay informed about future opportunities where we are able to offer visa sponsorship.
Kaluza is the Energy Intelligence Platform, turning energy complexity into seamless coordination. We help energy companies overcome today’s challenges while accelerating the shift to a clean, electrified future.
Our platform orchestrates millions of real-time decisions across homes, devices, markets and grids. By combining predictive algorithms with human-centred design, Kaluza makes clean energy dependable, affordable and adaptive to everyday life.
With teams across Europe, North America, Asia and Australia, and a joint venture with Mitsubishi Corporation in Japan, we power leading companies including OVO, AGL and ENGIE, as well as innovators like Volvo and Volkswagen.
What will I be doing?
As a Staff Release Engineer, you will set the technical strategy and global architecture for Kaluza’s continuous integration, delivery, and automated release ecosystems. You will empower our entire engineering organization to deploy high-quality software safely, frequently, and with minimal friction.
- Architect Release Ecosystems: Lead the high-level design and long-term roadmap definition for building, scaling, and governing the systems and practices that reliably move software from source to production through centralized developer tooling across all Kaluza engineering domains.
- Drive Engineering Productivity & SRE Practices: Strategize and embed automated deployment & release mechanisms, testing frameworks, Site Reliability Engineering principles and AI tooling to drastically reduce toil and accelerate software delivery speed and safety across the organization.
- Establish Global Standards & Metrics: Lead the definition, continuous improvement and enforcement of company-wide DevOps practices, standards, and frameworks such as DORA for compliance and auditability but also to measure and target improvements that elevate engineering productivity.
- Orchestrate Complex Infrastructure Tooling: Own the strategy for deployment platforms and infrastructure-as-code tools (e.g., GitHub Actions, Terraform, AWS, Kubernetes, ArgoCD), ensuring multi-tenant SaaS environments are secure, scalable, and efficient.
- Mentor & Upskill: Provide technical ownership, guidance, and mentorship to engineers across Kaluza, fostering deep expertise in automated delivery, developer experience, and modern release engineering practices including AI enablement.
- Hands-off & Hands-on Technical Leadership: Drive platform-wide release architecture through audits and strategic design, while retaining the capability to build high-impact proofs-of-concept for mission-critical release infrastructure.
About You
Ideally you'll have/be:
- Strategic CI/CD & Release Architect: Deep experience architecting, scaling, and maintaining enterprise-grade CI/CD frameworks, release pipelines, and internal developer platforms in cloud-native environments.
- DevOps & DORA Expert: Comprehensive mastery of DevOps practices, software development lifecycle (SDLC) automation, and practical application of DORA metrics to drive measurable engineering productivity.
- Technical Mentor & Leader: A proven track record of upskilling senior engineering talent, driving technical strategy, and establishing consensus across multi-disciplinary engineering domains.
- Infrastructure & Automation Mastery: Extensive hands-on experience with cloud infrastructure (AWS), Infrastructure as Code (Terraform), container orchestration (Kubernetes, ArgoCD), and workflow automation (GitHub Actions). Experience of GitHub Enterprise administration and GitHubAsCode experience would be a bonus.
- Developer-Centric & Data-Driven: Strong customer obsession—viewing developers as your primary customers—paired with data-driven decision-making to optimize developer experience and eliminate toil.
What will set you apart:
- LLM Integration Experience: Hands-on experience integrating large language models into production applications or developer workflows, whether via APIs (e.g., OpenAI, Anthropic, AWS Bedrock) or open-source models, with a solid understanding of prompt engineering, context management, and evaluation.
- AI Tooling Advocacy: A track record of introducing AI-assisted developer tooling and workflows (e.g., Copilot, Cursor, Claude, or similar) into a team and upskilling colleagues, not just using it personally.
- Enterprise Release Strategy & Domain Exposure: Experience designing, building, and governance-proofing release architectures specifically for enterprise clients or highly regulated global platforms, ideally with direct domain exposure to energy technology, smart device orchestration, billing SaaS platforms, or high-throughput IoT platforms.
Where you'll work
We offer flexible working, with an expectation of 3 days a week in the office. This gives us the best of both: real time together to collaborate and build relationships, with the flexibility to work in the way that suits you best the rest of the week.
Kaluza Values
Here at Kaluza we have five core values that guide us as a business: Play to win, Solve the real problem, Build trust every day, Own the outcome, Go further together.
Our Perks
- Pension Scheme
- Discretionary Bonus Scheme
- Private Medical Insurance + Virtual GP
- Life Assurance
- Access to Furthr - a Climate Action app
- Free Mortgage Advice and Eye Tests
- Perks at Work - access to thousands of retail discounts
- 5% Flex Fund - to spend on the benefits you want most
- 26 days holiday
- Flexible Bank Holidays - Giving you an additional 8 days which you can choose to take whenever you like
- Progressive Leave Policy - With no qualifying service periods, including up to 26 weeks full pay for primary caregivers and 4 weeks full pay for secondary caregivers when welcoming a new addition to your family.
- Personal Learning Budget - Upskill, learn and grow!
- Home Office Budget
- And more!
We want the best people
We’re keen to meet people from all walks of life — our view is that the more inclusive we are, the better our work will be. We want to build teams which represent a variety of experiences, perspectives and skills, and we recognise talent on the basis of merit and potential.
We understand some people may not apply for jobs unless they tick every box. But if you're excited about joining us and think you have some of what we're looking for, even if you're not 100% sure, we'd still love to hear from you.
Find out more about working in Kaluza on our careers page and LinkedIn.
You can also find our Applicant Data Protection Policy here.
How we rate this
Staff Release Engineer at Kaluza rates 26 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How have you integrated a large language model into a production application?
- What are the limits of OpenAI that you've run into, and how did you work around them?
- What's a project where you used Claude hands-on?
- Walk me through how you've used Anthropic in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Prompt Engineering, LLM Integration, OpenAI, Claude, and Anthropic. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.
Get a free CV reviewGet new AI jobs by email
One email a week with the new AI jobs, each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Software Engineering roles that involve little AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step