Location: London, United Kingdom (Hybrid) - 2 days per week onsite in London office

Hybrid | Full-time

Compensation: Competitive Compensation

We are hiring on behalf of our client, a pioneering scale-up in the UK credit data market, is seeking a early-career Product Engineer to build and maintain the Go services that power their real-time B2B APIs on AWS.

In this role, the successful candidate will join a collaborative and highly productive engineering team, reporting directly to the CTO. Working alongside and receiving mentorship from senior engineers, the candidate will take full ownership of real features end-to-end from day one. The role emphasizes a strong product mindset—focusing on user impact, problem-solving, and robust production design—alongside high standards for code quality and the responsible, effective use of modern AI tooling to complement engineering judgment.

Key Responsibilities:

• Build, test, and ship features in Go API services with support and code review from senior engineers.
• Take full ownership of delivered features, from initial design discussions through to production behavior and customer outcomes.
• Work with AWS infrastructure, containers, and CI/CD pipelines, operating the services being built.
• Contribute actively to code reviews, design discussions, and technical decision-making.
• Utilize AI development tools deliberately and effectively to enhance code quality and delivery speed while maintaining complete accountability for engineering output.

Requirements

• Experience: Approximately 1 to 3 years of commercial software engineering experience (or equivalent evidence of building and shipping production-level software).
• Core Technical Skills: Go at the center of the skill set—either commercial experience or substantial project experience with a deep understanding of language principles.
• Product Instinct: A user-first mindset that focuses on API/interface usability and technical problem solving rather than just ticket execution.
• AI Tooling: Fluent and deliberate integration of AI assistance (e.g., Claude) into development workflows while maintaining clear oversight and understanding of all code.
• Cloud & Infrastructure: Familiarity with AWS, containers, and CI/CD concepts (e.g., Fargate, Lambda, Aurora Postgres, DynamoDB, GitHub Actions), along with an eagerness to learn the stack.
• Professional Attributes: Strong bias to action, passion for problem-solving, open to feedback, and continuous learning.
• Industry Interest: Interest in fintech, credit data, or regulated industries (direct domain experience is a plus).

Benefits

• Competitive salary and equity package.
• Holiday & Leave: 25 days of paid holiday, flexible bank holidays, and unlimited unpaid leave.
• Pension: Employer pension contributions.
• Growth & Mentorship: Direct mentoring from senior engineers, clear career progression, support for technical training, and AWS certification.
• Work Flexibility: Hybrid work schedule and flexible hours.
• Health & Wellness: Cycle-to-work scheme.

Interview Process:

• Stage 1: Initial screening call.
• Stage 2: Technical discussion and live coding / design review.
• Stage 3: Final conversation with senior leadership / CTO.

Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.

Commitment to Equality and Accessibility:

At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing [email protected].

MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting [email protected].