Release, Environments, and Change Engineer (C2)
Kaluza is hiring a Release, Environments, and Change Engineer (C2) in Bristol and London, United Kingdom. Level rates it ; you can apply on Kaluza.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- The posting mentions LangChain, AutoGen and prompt engineering among its tools and skills.
- Kaluza has 39 other open roles on Level.
- Posted in the last few days.
AI in this role
Release, Environments, and Change Engineer (C2)
Location: London or Bristol (hybrid, three days a week in the office)
Level: C2
Team: Quality Engineering
Contract: Permanent
Please note: This role requires an existing right to work in the UK. We can’t offer visa sponsorship, but we review sponsorship role by role, so keep an eye on our careers site for future opportunities.
About Kaluza
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, 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 you'll do
The Release, Environments and Change Engineer (REC Engineer) has three key areas of responsibility. You will operate Release, Environments and Change processes and procedures, and you’ll be involved in, and often lead, the identification and implementation of process improvements using AI and other tools.
You will work closely with the REC Manager and Environments Manager and operate the processes they define. These processes may rely on manual activities and controls at first, so you’ll take a leading role in replacing them with appropriate automation, and then identify mechanisms and methods to govern those automated controls.
You will collaborate with Enablement teams and engineering teams across Kaluza to make sure processes are understood, embedded and followed. You’ll be a decision maker with the authority to decline or postpone releases and changes, and you’ll handle client communication where approval is required for a change or release.
- Operating promotion gates, making promote or block decisions between environments in line with contractual and ways-of-working agreements, and escalating high-risk calls.
- Facilitating change approvals, release Go/No-Go meetings and release trains, preparing releases against readiness criteria and tracking per-team readiness and environment-deployed status.
- Using AI-assisted checks to confirm quality gates are met, summarise what changed in a release, score change risk and flag incomplete or stale records, applying your own judgment to improve the reliability of the results.
- Maintaining complete, accurate change and configuration records, keeping every change traceable across the full environment stack, and managing the change and release calendar.
- Building and maintaining release automation, including readiness checks, artefact promotion, AI-drafted release notes and notifications, and reporting feeds.
- Working with engineering teams in real time to roll back failed releases or apply fixes, and coordinating with incident and problem management so planned changes, hotfixes and major incidents stay in sync.
- Communicating changes and releases internally and externally, supporting environment coordination and validation, running post-implementation reviews and retros, and giving operational input into gate definitions and the wider process.
What you’ll bring
- Strong organisation and attention to detail, with the ability to juggle multiple moving parts and spot incomplete records or inconsistencies.
- Clear communication and strong facilitation skills, comfortable coordinating across teams, leading check-ins, keeping everyone aligned, driving decisions and chasing things through to completion.
- The confidence to say no and hold the line when something isn’t ready, and to escalate when you’re unsure.
- Comfort with Jira (or similar), including configuring boards, workflows and tickets.
- Scripting and automation skills to build and maintain the automation around a release process (readiness checks, artefact promotion, release notes and reporting), plus familiarity with CI/CD pipelines and integrating automated testing into deployment workflows.
- Day-to-day use of AI tooling with a critical eye, catching what it gets wrong rather than waving it through.
- Experience building or integrating AI agents (e.g. LangChain, AutoGen, custom frameworks, MCP-based tooling), with an understanding of prompt engineering and LLM evaluation techniques such as faithfulness, relevance and LLM-as-a-judge, since traditional pass/fail assertions don’t translate well to testing AI agents.
What will set you apart
- Any exposure to how software gets released or how environments work, even informally.
- Light scripting or automation experience, or the appetite to learn it.
- A calm head under time pressure.
Our Values
Five values guide how we work at Kaluza:
- Play to win: Collective pride in decarbonising energy at scale.
- Solve the real problem: Cutting through complexity to focus on real-world outcomes.
- Build trust every day: Consistency, transparency and doing what we say.
- Own the outcome: Full accountability, wins and setbacks, without ego.
- Go further together: Collaboration, respect and different perspectives.
Our Perks
- Time off and family: 26 days’ holiday, plus 26 weeks’ full pay for new parents with no qualifying service period
- Health and security: Private medical insurance with virtual GP, life assurance, pension scheme, free mortgage advice and eye tests
- Pay and flexibility: Discretionary bonus, a Flex Fund of 5% [of salary] to spend on the benefits you want most, retail discounts through Perks at Work
- Growth and setup: Personal learning budget, home office budget
- Climate: Furthr, our climate action app
Come as you are
We want to meet people from all walks of life. The more inclusive we are, the better our work will be, and we recognise talent on merit and potential. If you’re excited about the role but don’t tick every box, we’d still love to hear from you.
Find out more on our careers page and LinkedIn. Our Applicant Data Protection Policy is here.
How we rate this
Release, Environments, and Change Engineer (C2) at Kaluza rates 36 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. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
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 do you decide when an AI agent can act on its own versus asking for approval first?
- How do you decide that one model's output is better than another's for a given task?
- What's a project where you used LangChain hands-on?
- Walk me through how you've used AutoGen in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Prompt engineering, AI agents, AI Evaluation, LangChain, and AutoGen. 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.
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