L3 Support Engineer

Overview

We set out to build the world’s most trusted consulting firm – creating lasting impact for clients and pioneering a positive, people-first way of working. We work with everyone from FTSE 100 names to bright new start-ups, in every sector. You’ll find us collaborating shoulder-to-shoulder with our clients, from the big picture right down to the detail: helping them define their strategy, deliver complex change, spot the right commercial opportunities, manage risk, or bring their purpose and sustainability goals to life.

Our clients love how we get to know what makes their organisations tick – slotting seamlessly into their teams and being proudly geeky about solving their challenges. We have hubs in Europe, the US, Asia and Australia, and we work all around the world - from a wind farm in Wyoming to a boardroom in Berlin. Find us wherever there's a challenge to be tackled and an impact to be made.

Our Solutions and AI Lab Team are looking for an experienced L3 Support Engineer to join the team.

Our Solutions & AI Labs (SAIL) practice focuses on helping clients control their data, turn them into actionable insights and better leverage them through the use of Machine Learning solutions directly embedded into businesses processes. We support clients across a number of industries and offer deep expertise in AI, ML, cloud and managed solutions.

What you will be doing

You will be using your experience to help build and maintain internal and client solutions. You would be also responsible to support the growth of our team, helping them to build the skills they need to solve our client’s challenges.

Although we do not expect you to be an expert in all of the below activities at the same time, our team consists of people who can both work as advisors to our clients as well as being able to bring deep technical knowledge when needed. The profile of our typical engagements is a reflection of that.

Web Applications:

• Render web applications on both client-side and server-side to ensure robust management of headers and adherence to security policies
• Utilise modern frameworks such as Next.js and libraries like React
• Write comprehensive unit tests and apply testing tools including Jest and Cypress to ensure code quality and reliability

APIs:

• End-to-end deliver fully functional CRUD APIs, from local development through to cloud deployment and production readiness
• Define detailed production specifications and promote industry best practices
• Maintain APIs and effectively resolve any arising issues

Processing Logic:

• Manage event-driven communication patterns and efficiently handle request processing
• Identify potential loops and edge cases, and manage dead-letter queues (DLQs) for robust error handling

Databases:

• Design database schemas for both relational and No
  
  SQL systems
• Execute schema and data/table migrations to support evolving application requirements.

Releases:

• Manage the release and versioning of software and related packages across various environments, including production.
• Prepare detailed release notes and plans, covering regression testing and established backout procedures for risk mitigation.

Your Skills and Experience

We re seeking passionate, talented, professional full-stack and software engineers who are eager to shape the next generation of AI and Machine Learning solutions platforms for our clients. Building on the core responsibilities outlined in “What you will be doing,” you will join a dynamic team working at the intersection of cutting-edge technology and practical innovation.

• 3–5 years of hands-on experience in software engineering, specifically focused on developing and delivering modern web applications, APIs, and scalable platforms.
• Full-stack expertise, comfortable working across front-end frameworks (such as React or Next.js) and back-end services, seamlessly integrating user interfaces with robust server-side functionality.
• A strong interest in AI and Machine Learning, and experience building or integrating intelligent features into applications—whether through custom development or by leveraging cloud-based AI/ML services.
• Exposure to modern software development practices including CI/CD…