## Overview Benefits - Commencement: ASAP - Full Time Position, 37.5 hours/week, Mon-Fri - Location: Dudley, West Midlands - Travel: Some occasional international travel may be required - Annual bonus up to 4% - Vacation: 33 days (includes bank holidays and end of year closure) - Excellent working conditions - Team Building - 7% company pension contribution - Cycle to work and EV car schemes About Mitsubishi Electric Iconics Digital Solutions, Inc. Mitsubishi Electric Iconics Digital Solutions, Inc., headquartered in Foxborough, Massachusetts, is a global leader in industrial automation, smart and sustainable buildings, and digital transformation software. Our innovative HMI, SCADA, and Smart Building solutions help organizations around the world visualize, monitor, and optimize their most critical assets and environments. With a presence in over 100 countries and trusted by more than 70% of Global 500 companies, we’re proud to play a key role in shaping the future of manufacturing, infrastructure, and the built environment sectors. Backed by more than 40 years of technological innovation and deep industry expertise, we deliver flexible, scalable, and high-performance solutions that drive operational efficiency and continuous improvement. What makes us different is our people. We are a global, collaborative community of innovators, problem-solvers, and forward-thinkers who are passionate about making a meaningful impact. Whether you’re working alongside colleagues across Europe, the Americas, or Asia, you’ll be part of a team that values knowledge sharing, diverse perspectives, and continuous learning. We are committed to creating an environment where employees can grow, contribute, and thrive—offering opportunities to work on cutting-edge technology, tackle real-world challenges, and help build smarter, more sustainable communities. As a testament to our excellence and strong partnership with Microsoft, Mitsubishi Electric Iconics Digital Solutions has been recognized as a seven-time Microsoft Partner of the Year award winner. Join us and be part of a global organization where your ideas matter, your growth is supported, and your work helps shape the future. ## Description 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 ## Requirements Education & Experience - Bachelor's degree in computer science, software engineering, or related field preferred (or equivalent practical experience) - 8+ years of professional software development experience (10+ years preferred) - Experience in people management in a similar office/software environment - Demonstrated experience leading technical efforts — designing systems, making architectural calls, and driving projects to completion without close oversight - Production experience using generative AI to deliver real work products — not just experimenting, but shipping AI-assisted code, AI-powered features, or AI-augmented workflows that are running in production today - Track record of increasing scope and ownership over your career Technical Skills - Deep understanding of web application and distributed systems fundamentals (HTTP, REST APIs, authentication, state management, security) - Proficiency in multiple programming languages (e.g., Python, JavaScript/TypeScript, C#, Java, or similar) - Strong experience with modern frontend frameworks (React, Vue, Angular, or equivalent) - Strong experience with backend frameworks and API development (e.g., Node.js/Express, FastAPI/Django/Flask, ASP.NET, Spring Boot, or similar) - Experience with relational and NoSQL databases (e.g., PostgreSQL, SQL Server, DynamoDB, MongoDB, Cosmos) including data modeling, query optimization, and understanding trade-offs between storage technologies - Hands-on experience with generative AI tools and APIs (e.g., LLM-assisted coding, prompt engineering, integrating AI services into applications) - Solid experience with cloud platforms in production (AWS, Azure, or GCP), including containerization (Docker, Kubernetes) and infrastructure as code (Terraform, CloudFormation, or similar) - Experience designing systems for reliability, scalability, and observability - Ability to navigate and become effective in codebases and technologies you didn't build, with strong debugging and problem-solving skills across the full stack - A genuine drive to continuously sharpen your craft and adopt better tools and approaches