At a Glance
- Tasks: Own and develop AI cost visibility features from start to finish.
- Company: Join DoiT, a global tech leader in cloud innovation.
- Benefits: Enjoy unlimited vacation, flexible work, health insurance, and professional development.
- Other info: Be part of a diverse team that values your unique perspective.
- Why this job: Shape the future of AI cost management and make a real impact.
- Qualifications: 7+ years in software engineering with strong Go and React skills.
The predicted salary is between 54000 - 66000 £ per year.
The senior Full-Stack Engineer will be an integral part of our Engineering teams in EMEA. This role is based remotely as a full-time employee in the UK, Ireland, Estonia, the Netherlands, Sweden and Israel. We are also open to contractors in Eastern Europe and Portugal.
Who We Are
DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state - from planning to production. Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide.
The Opportunity
AI is the fastest-growing line on our customers' cloud bills - and the hardest one to see. Model APIs, managed inference, GPUs, and a growing fleet of agentic coding tools each report spend differently, and most teams still can't answer the basic questions: what are we spending, on which workloads, for which teams, and is it worth it. Our AI cost visibility product, part of DoiT Cloud Intelligence, exists to answer them. We're hiring a Senior Full-Stack Engineer into our R&D team to own this product end-to-end - from the Go services that ingest and model AI spend, through the APIs that expose it, to the React interfaces where FinOps practitioners and platform engineers make decisions. This is a young product in a category being defined right now. You'll shape how it works, not just implement someone else's spec, and there is a short line from your work to what customers see. You'll work AI-augmented from day one. We expect you to use AI across your whole workflow - not as an occasional autocomplete - and to have real opinions about where it earns its place and where it doesn't.
Responsibilities
- Owning features end-to-end. This is the core of the role. Take a problem from understanding the customer's pain, through design and implementation, to release, monitoring and iteration. You define what done looks like and you own the outcome - reliability, user experience and measurable impact included.
- Propose the work you think should happen; you're not here to wait for a spec.
- Knowing the product and the domain. Understand how AI spend actually works - token and model pricing, inference and GPU economics, how usage rolls up to teams and initiatives - and how FinOps practitioners reason about it. You should be able to explain why a feature matters to a customer as clearly as how it's built, and bring that judgement into every design decision.
- Working AI-augmented. Use AI daily across the full span of your work - exploring the codebase and unfamiliar vendor APIs, prototyping approaches, generating and reviewing code, debugging, writing tests and producing documentation. Push on what agentic tooling can do for this codebase, and bring judgement about where AI raises velocity and where a human still has to hold the quality bar.
- Full-stack delivery. Design, build and scale backend services in Go and product experiences in TypeScript and React. Turn large volumes of cost and usage data into interfaces that make the answer obvious - clear, fast and trustworthy enough to base financial decisions on.
- API-first. Build capabilities so they're fully available through APIs, not just the UI. Both humans and agents should be able to drive the platform.
- Raising the bar. As a senior engineer, set the standard for the team: thoughtful design reviews, guard-rails that let customers succeed, and engineering practices that let us move fast without breaking trust. Mentor peers and share what you learn.
Qualifications
- 7+ years of professional software engineering experience, including multi-tenant SaaS products, with a track record of owning features or products end-to-end in production.
- Strong Go for backend services - APIs, data processing, and the operational realities of running them.
- Strong TypeScript and modern React, with a good eye for how data should be presented.
- Comfortable across the stack. You may lean backend or lean frontend, but you can own a feature from the data model through to the interface.
- Experience building on public cloud (GCP preferred; AWS or Azure), and working proficiency in SQL against an analytical store such as BigQuery.
- Product-oriented thinking - you care as much about why you're building something and whether it works for users as you do about how it's built.
- AI-augmented working style - you already use AI tools across your engineering workflow and can talk concretely about what you've got out of them, and where they fell short.
- Strong knowledge of software engineering practices, design patterns and architectural principles, and the ability to set direction for others.
- Comfortable with ambiguity in a fast-moving market - you can figure out the right problem to solve, not just the right solution.
- Excellent communication skills in English, both written and verbal.
- Self-organized, goal-oriented and self-motivated; confident, thorough and tenacious.
Bonus Points
- Knowledge of FinOps and FinOps products would be a strong plus.
- BA/BS degree or equivalent practical experience.
- Demonstrating a portfolio of what you've built in your career so far.
Are you a Do'er?
Be your truest self. Work on your terms. Make a difference. We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally.
What does being a Do'er mean? We're all about being entrepreneurial, pursuing knowledge, and having fun!
Sounds too good to be true? Check out our Glassdoor Page. We thought so too, but we're here and happy we hit that 'apply' button.
Full-time employee benefits include:
- Unlimited Vacation
- Flexible Working Options
- Health Insurance
- Parental Leave
- Employee Stock Option Plan
- Home Office Allowance
- Professional Development Stipend
- Peer Recognition Program
Many Do'ers, One Team
DoiT unites as Many Do'ers, One Team, where diversity is more than a goal - it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success.
Senior Full-Stack Engineer - AI Cost Visibility employer: Doit
DoiT is an exceptional employer that fosters a collaborative and innovative work culture, where creativity thrives and employees are empowered to make a real impact in the world of education. With a strong focus on professional growth, you will have access to continuous learning opportunities and the chance to influence the learning journeys of over 100,000 global learners in AI and design. Located in a vibrant environment, DoiT offers unique advantages such as flexible working arrangements and a commitment to diversity and inclusion, making it a truly rewarding place to work.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Full-Stack Engineer - AI Cost Visibility
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Doit or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨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 Doit.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Doit.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Doit that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior Full-Stack Engineer - AI Cost Visibility
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 Doit.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Doit 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 Doit
✨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 Doit 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.