At a Glance
- Tasks: Lead a team in developing innovative full-stack applications and drive technical decisions.
- Company: Join Mitsubishi Electric's dynamic digital transformation team in Dudley.
- Benefits: Enjoy competitive salary, professional development, and a collaborative work environment.
- Other info: Great opportunity for career growth and working with diverse projects.
- Why this job: Make a real impact using cutting-edge tech and generative AI to enhance software delivery.
- Qualifications: Proven software development experience and strong leadership skills.
The predicted salary is between 60000 - 80000 £ per year.
Location: 1 Castle Court, Castlegate, Dudley, DY1 4RD, United Kingdom
Job Category: Software Development
Employee Type: FT Salaried
Travel: 5%
We are seeking a Senior Software Engineer, Team Leader, to join our IMCS digital transformation team in Dudley (West Midlands). In this role, you will lead a team and technical efforts across diverse projects for multiple Mitsubishi Electric businesses — driving architectural decisions, setting technical direction, and delivering production level platforms and the systems thereon end-to-end. You'll operate with significant autonomy, owning problems from ambiguous requirements to reliable, running software. This is a role for engineers who take initiative, pull others along with them, and use every tool at their disposal — including generative AI — to ship quality work faster than anyone thought possible. As Team Leader, this role is responsible for all people management responsibilities for this team and the guidance and support of the work being completed, acting as a main communication point with the Chief Technical Officer.
Key Responsibilities:
- Lead the design, development, and delivery of full-stack applications, owning technical direction from architecture through production deployment.
- Drive technical decisions and trade-offs, communicating rationale clearly to both engineering peers and non-technical stakeholders.
- Leverage generative AI tools (coding assistants, LLM APIs, AI‑augmented workflows) to accelerate development, improve code quality, and build AI‑powered features into products.
- Architect and implement cloud‑native systems using containerized deployments, infrastructure as code, and modern CI/CD practices.
- Identify and resolve technical risks and bottlenecks proactively — don't wait to be asked.
- Collaborate across business units, translating ambiguous business needs into well‑scoped technical solutions.
- Elevate the team through code reviews, technical mentorship, and establishing engineering best practices.
- Rapidly learn and become productive in unfamiliar codebases, technology stacks, and problem domains.
- Troubleshoot and resolve complex issues spanning the full stack, from frontend UI to backend services and cloud infrastructure.
- Report progress, plans and other relevant updates to the CTO as required.
- Complete people management tasks relating to the team, including but not limited to, approval of time off, absence management, and people development with support from the CTO.
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