At a Glance
- Tasks: Build and maintain Go services for real-time B2B APIs on AWS.
- Company: Pioneering scale-up in the UK credit data market with a collaborative culture.
- Benefits: Competitive salary, equity package, 25 days holiday, and flexible work hours.
- Other info: Direct mentorship from senior engineers and excellent career growth opportunities.
- Why this job: Join a dynamic team, take ownership of features, and make a real impact.
- Qualifications: 1-3 years of software engineering experience and a user-first mindset.
The predicted salary is between 63000 - 77000 £ per year.
Location: London, United Kingdom (Hybrid) - 2 days per week onsite in London office
We are hiring on behalf of our client, a pioneering scale-up in the UK credit data market, seeking an 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.
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 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).
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 offering 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.
Product Engineer (Golang) employer: MLabs
Join a dynamic financial technology organisation in London as a Linux Desktop Support Engineer, where you will thrive in a high-performance engineering environment. Enjoy a competitive salary, comprehensive benefits, and a commitment to equality and accessibility, all while working in a hybrid model that promotes work-life balance and fosters employee growth through hands-on experience with cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Product Engineer (Golang)
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to MLabs.
✨Tap into Online Developer Communities
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We think you need these skills to ace Product Engineer (Golang)
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at MLabs.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at MLabs and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at MLabs
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If MLabs uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
