Mindera is hiring a Principal Engineer / Consulting Engineer (AI-Led Digital Platform)

We’re seeking a Principal Engineer / Consulting Engineer to play a pivotal role in shaping the next phase of a modern smart energy platform. This role sits at the intersection of technical leadership and client advisory, balancing hands-on architectural oversight with strategic stakeholder engagement. You’ll operate as a senior technical authority across the program, guiding engineering direction while partnering directly with senior client stakeholders. The platform build is heavily AI-led, and we are looking for someone genuinely proficient in, and motivated by, applying AI across the full software development lifecycle. This role will suit a true full-stack principal who is comfortable moving between React frontends, Node.js-based integration layers, and AWS cloud infrastructure, while also confidently navigating executive conversations. What You’ll Do Engineering Leadership ● Define and guide end-to-end architecture across React, Node integration services, and AWS infrastructure ● Shape how AI is embedded across the SDLC, from development workflows to runtime capabilities ● Provide hands-on architectural oversight across frontend, backend, and cloud layers ● Support engineering teams locally and offshore, ensuring standards and delivery quality ● Lead technical discovery, solution design, and implementation planning ● Ensure scalability, security, performance, and maintainability across the platform Client & Consulting Leadership ● Act as a senior technical advisor to client stakeholders, including technology and product leadership ● Lead deeply technical discussions while translating complexity into clear commercial outcomes ● Influence roadmap decisions through architectural insight and delivery realism ● Balance pragmatism and innovation in a client-facing environment AI Across the SDLC ● Drive the adoption of AI-enabled development practices across engineering teams ● Apply AI in areas such as code generation, testing automation, data intelligence, observability, and optimisation ● Identify opportunities to embed AI into product capabilities where appropriate ● Maintain awareness of evolving AI tooling and ensure responsible, scalable adoption