Senior Software Engineer

Who you are

• 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
• 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
• 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

What the job involves

• Reporting To: Software Engineering Manager
• 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

Benefits

• Progressive leave policies - including leave dedicated to the moments that matter to you the most
• Annual discretionary bonus
• Dedicated personal learning and home office budgets
• Flexible working — we trust you to work in a way that suits your lifestyle
• 26 days holiday
• Kaluza Share Scheme