{"id":4260028,"url":"https://alion.io/job/kaluza-qa-automation-lead","title":"QA Automation Lead","company":{"id":51455,"name":"Kaluza","domain":"kaluza.com","url":"https://alion.io/company/kaluza","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-11-15T07:52:55Z"}},"role":"QA","role_family":"QA","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bristol, United Kingdom","London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Cypress","optional":false},{"name":"JavaScript","optional":false},{"name":"LLM","optional":false},{"name":"Playwright","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"TypeScript","optional":false},{"name":"AutoGen","optional":true},{"name":"CI/CD","optional":true},{"name":"Jira","optional":true},{"name":"LangChain","optional":true},{"name":"Model Context Protocol","optional":true}],"status":"live","first_seen_at":"2026-11-12T17:07:31Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-15T15:10:28Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Role: QA Automation Lead\nLocation: London, Bristol\nLevel: C3\nTeam: Quality\nContract: Permanent\nReporting To: Senior QA Manager\nPlease 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.\nAbout Kaluza\nKaluza 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.\nOur 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.\nWith 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.\nWhat you’ll do\nThe QA Automation Leads are part of a leadership team and they work closely with QA Leads and Staff Engineers to enable Development Engineers to test the code that they produce.\nThe QA Automation Leads will be an authority on test data creation, test tools, and test automation best practice. They will coach Engineers through test automation, provision tools, and automate controls to ensure the quality of code delivered to client-facing teams and clients.\nThey will work with the Quality Enablement Team to embed automation frameworks, as well as automation that will audit AI generated code and tests. They will be the conduit between Engineering teams using these tools and the Enablement Team.\nThe QA Automation Leads will support QA professionals in the Forward Deployed Engineering Teams in the creation and validation of End to End tests that involve their domains.\nCoach and enable development engineers to write automated tests at service and domain level, and to test their own products and solutions.\n\nProvide the tooling for creating test data, building test automation and reporting test results.\n\nPartner with QA and development engineers in Forward Deployed Engineering teams to define and implement automated handovers between teams, and support their end-to-end testing.\n\nImplement innovative automation of testing, defect management and release processes for Global Product Teams, using AI where it adds value.\n\nWork with the Enablement Team to build intelligent automated testing solutions (such as testing the tests) and roll them out.\n\nUse AI tools and techniques to build, refine and scale internal testing tools and frameworks, and build AI-driven tools that remove bottlenecks in code and architecture and speed up test-and-deploy cycles.\n\nLead by example as a technical leader: champion best practice in test automation, AI code validation and agent tooling, write clean, testable code, perform code reviews and mentor mid-level and junior engineers.\n\nWhat you’ll bring\nExperience building, maintaining and enhancing test automation frameworks, using tools and languages such as Python, JavaScript/TypeScript, Playwright or Cypress.\n\nStrong software engineering fundamentals (design patterns, API design, data structures) in Python, TypeScript or similar, with experience automating tests using APIs.\n\nKnowledge of improving test data management, users and scenarios for ease of testing, and of working with developers to review automated unit and integration tests.\n\nPrevious management experience, leading and coaching engineers across test cases\n\nA solid understanding of the SDLC, Agile methology and QA process.\n\nExperience using AI tools, such as LLM-based coding assistants and agent frameworks, as part of a pipeline, along with an understanding of prompt engineering and LLM evaluation techniques (faithfulness, relevance, LLM-as-a-judge), since traditional pass/fail assertions don’t translate well to AI agent testing.\n\nExcellent communication and influencing skills, able to explain technical concepts to both technical and non-technical audiences and to collaborate with multiple stakeholders towards a common goal.\n\nStrong problem-solving skills and a solution-oriented mindset, with the willingness to speak up, highlight areas for improvement and suggest solutions.\n\nNice to have\nExperience building or integrating AI agents, such as LangChain, AutoGen, custom agent frameworks or MCP-based tooling.\n\nExperience working with or testing AI-generated code, models or agents, covering both deterministic validation (is the generated code correct?) and non-deterministic evaluation (is the AI’s behaviour acceptable?).\n\nFamiliarity with CI/CD pipelines and integrating automated testing into deployment workflows.\n\nKnowledgade of Jira and test management tools such as XRay.\n\nOur Values\nFive values guide how we work at Kaluza:\nPlay to win: Collective pride in decarbonising energy at scale.\n\nSolve the real problem: Cutting through complexity to focus on real-world outcomes.\n\nBuild trust every day: Consistency, transparency and doing what we say.\n\nOwn the outcome: Full accountability, wins and setbacks, without ego.\n\nGo further together: Collaboration, respect and different perspectives.\n\nOur Perks\nTime off and family: 26 days’ holiday, plus 26 weeks’ full pay for new parents with no qualifying service period\n\nHealth and security: Private medical insurance with virtual GP, life assurance, pension scheme, free mortgage advice and eye tests\n\nPay 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\n\nGrowth and setup: Personal learning budget, home office budget\n\nClimate: Furthr, our climate action app\n\nCome as you are\nWe 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.\nFind out more on ourcareers page andLinkedIn. 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