Senior Software Engineer I

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?

Hands-on Execution: Write clean, well-tested, and maintainable TypeScript to build and extend Kaluza’s platform for major clients including ENGIE, taking ownership of features from conception to deployment.

Cloud-Native Development: Build, deploy, and maintain highly scalable applications on AWS Serverless (e.g., Lambda, API Gateway, DynamoDB) and help design event-driven microservices with real-time data streaming via Kafka.

AI Integration: Identify and implement opportunities to embed AI into Kaluza’s platform and software development life-cycle - LLM-powered automation, intelligent decision support, and AI-assisted workflows. Act as an AI knowledge carrier, sharing learnings across teams and helping build a culture of AI-informed engineering.

Technical Quality & Mentorship: Champion engineering best practices through thorough code reviews and upskilling junior engineers on TypeScript, serverless, and AI development patterns.

Team Collaboration : Collaborate closely with your team, Product Managers, and Engineering Managers to refine features, estimate tasks, and deliver value predictably.

 

About You

Ideally you'll have/be:

TypeScript Expertise: Strong professional experience building scalable, production-grade applications using TypeScript and Node.js, including on AWS Serverless architectures (Lambda, API Gateway, DynamoDB) and event-driven systems such as Kafka.

AI Mindset: You think about AI as a practical engineering tool — curious about what’s possible, focused on what’s production-ready, and motivated to bring colleagues along with you.

Problem-Solving Mindset: A track record of creative problem-solving and delivering team-level technical expertise on complex application workflows.

Agile Practices: A solid grasp of CI/CD pipelines, software development fundamentals, and Agile/Lean methodologies.

Collaborative Communicator: Excellent communication skills and a genuine enjoyment of cross-functional teamwork, including explaining technical concepts to non-technical stakeholders.

What will set you apart:

LLM Integration Experience: Hands-on experience integrating large language models into production applications, 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.

Energy or Enterprise Domain Knowledge: Background working with large enterprise applications, specifically involving billing, ledger tooling, payments integration, or energy grid/supply data.

Client-Facing Awareness: Previous experience working on consulting, software-as-a-service (SaaS) onboarding, or client-delivery technical projects.

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.

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 .

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