Lead​/Senior Lead Software Engineer - Agentic AI Engineering; Enterprise Asset Management

Lead/Senior Lead Software Engineer - Agentic AI Engineering (Enterprise Asset Management)

We are looking for a talented Lead/Senior Software Engineer to join our Enterprise Asset Management team and play a leading role in designing, developing, and implementing cloud‑based enterprise solutions. The ideal candidate will demonstrate a strong leadership mindset, solid operational experience, and excellent problem‑solving and communication skills.

• Evaluate, implement, and extend enterprise solutions while driving continuous improvements in software engineering practices across the team.
• Deliver scalable, reliable, and high‑quality Enterprise Asset Management solutions by leveraging the right technologies, tools, processes, and engineering practices.
• Champion industry best practices to enhance engineering efficiency, solution quality, maintainability, and operational excellence.
• Apply modern AI‑driven engineering practices, including agentic AI approaches, throughout the software development lifecycle.
• Align engineering decisions with business goals and deliver measurable value.
• Focus on customer needs, use feedback to guide technical direction, and promote a culture that prioritizes customer outcomes.
• Own delivery of results by removing blockers, setting clear priorities, maintaining high‑quality standards, delivering on commitments, raising risks early, and managing technical debt.
• Use AI tools effectively to improve engineering productivity and quality, and promote AI as a core engineering capability.

• Strong hands‑on experience with Go and modern backend development, ideally with Type Script/Node.js.
• Experience designing and building microservices, event‑driven systems, and RESTful APIs using technologies such as Kafka, Redpanda, and Kubernetes.
• Solid understanding of Domain‑Driven Design (DDD), bounded contexts, service decomposition, and distributed system design.
• Experience with PostgreSQL, MongoDB, and cloud platforms such as AWS and Azure.
• Strong knowledge of CI/CD, automated testing (unit, integration, and end‑to‑end), observability, and production operations.
• Understanding of secure software development, authentication/authorization, and Dev Sec Ops  practices.
• Experience using AI‑assisted development tools such as Git Hub Copilot, Cursor, Claude Code, or similar.
• Familiarity with AI‑assisted Spec‑Driven Development (SDD).
• Strong analytical and problem‑solving skills, with the ability to lead technical initiatives and mentor engineers.

• Experience with React and modern frontend development.
• Experience building Enterprise SaaS or ERP products.
• Knowledge of LLMs, AI agents, RAG, context engineering, and AI evaluation in production environments.
• Experience designing and delivering enterprise‑grade AI‑powered applications.
• A degree in Computer Science, Software Engineering or Information Technology along with minimum 6 years' experience in a similar role.
• Excellent communication and multi‑tasking skills along with an innovative mindset.

Full‑time position.