Staff Release Engineer

Kaluza is hiring a Staff Release Engineer in Bristol and London, United Kingdom. It pays £98k-£125k a year and Level rates it ; you can apply on Kaluza.

Level's read on this job

Uses AI ●●○○ is how Level rates this role: an ordinary role that requires AI tools.
The posting allows some remote work.
Tools and skills the posting cites include OpenAI, Claude and Anthropic.
Level lists 37 other open roles at Kaluza.
The role was posted within the past week.

AI in this role

Architect global release ecosystems and embed automated CI/CD mechanisms, SRE principles, and AI tooling to drive engineering productivity.

openaiclaudeanthropiccopilotbedrockcursorgithub-actionsterraformawskubernetesargocd

prompt-engineeringllm-integrationci-cdsite-reliability-engineeringinfrastructure-as-codedevops

Location: Bristol or London, UK (hybrid, three days a week in the office)

Level: Staff Engineer TL2

Team: Release Engineering

Salary: £97,600 - £125,000 + discretionary bonus

Contract: Permanent

Reporting To: Software Engineering manager

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

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.

What you'll bring

Ideally you'll have:

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.

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

Staff Release Engineer at Kaluza rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● 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.

Key facts

Staff Release Engineer is an open job at Kaluza.
Level rates this role AI Level 2 of 4: Uses AI.
The listed salary is £98k-£125k a year.
The role is based in Bristol, England, United Kingdom; London, England, United Kingdom and is marked remote.
The job was posted on October 22, 2026.
Seniority: lead.
Applications are handled by Kaluza. Apply on Kaluza

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringLLM IntegrationCI/CDSite Reliability EngineeringInfrastructure As CodeDevOpsOpenAIClaude

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?
Tell me about a project where ci/cd was part of your work. What did you do?
Tell me about a project where site reliability engineering was part of your work. What did you do?
Tell me about a project where infrastructure as code was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Prompt engineering, LLM Integration, CI/CD, Site Reliability Engineering, and Infrastructure As Code. 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.
Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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