At a Glance
- Tasks: Design and build AI-powered features that customers love in a collaborative environment.
- Company: Join Teamwork, an innovative platform transforming client services with AI.
- Benefits: Enjoy competitive salary, up to 30 days vacation, and generous development allowance.
- Other info: Be part of a diverse team focused on continuous improvement and learning.
- Why this job: Make a real impact by using cutting-edge AI tools in your daily work.
- Qualifications: Strong backend skills in Node/Go and experience with cloud infrastructure.
The predicted salary is between 60000 - 80000 £ per year.
Teamwork.com is the AI-powered platform that helps client-services organisations deliver work profitably. From project management and resource planning to time tracking and financial oversight, we give agencies, consultancies, and professional services teams everything they need to stay organised, run efficiently, and protect their margins. Our mission is to make every team that delivers client work more productive and more profitable — and we're building AI into every layer of the platform to make that happen.
About This Role
We’re looking for experienced engineers who build product that customers love and who use AI as a core part of how they work. This is a hands-on role where you’ll design, build, and ship features across the full stack, working closely with product and design to solve real customer problems. You’ll bring strong backend skills and enough frontend fluency to deliver end-to-end. You’ll also bring a clear track record of using AI tools to move faster, build better, and raise the bar on quality.
What You’ll Do
- Design, build, and deliver product features that create clear, measurable value for customers
- Work across backend (Node/ Go) and frontend (Vue 3) to ship high-quality, intuitive user experiences
- Develop scalable APIs, services, and systems in a cloud-native environment (AWS: EKS, RDS/MariaDB, DocumentDB, OpenSearch, RabbitMQ)
- Collaborate closely with product and design to deeply understand customer problems and translate them into effective solutions
- Take ownership of features end-to-end, from concept through production, iteration, and improvement
- Use AI tools throughout the development lifecycle to accelerate delivery, improve quality, and reduce manual effort, from requirements analysis and design through to implementation, testing, and code review
- Build and maintain automated tests to ensure reliability, performance, and confidence in releases
- Contribute to engineering culture by sharing what works, whether that’s a better AI workflow, a smarter testing approach, or a cleaner architectural pattern
- Continuously improve how we build software, optimising for speed, quality, and customer impact
Experience You’ll Bring
- Strong experience delivering customer-facing features in a SaaS product environment
- Backend expertise in Node/Go or a similar with experience building scalable APIs and services
- Hands-on experience with cloud infrastructure and distributed systems on AWS or similar (containers, managed databases, message queues, search)
- Familiarity with relational databases (e.g. MariaDB/MySQL) and NoSQL data stores (e.g. DocumentDB, OpenSearch)
- Demonstrated, active use of AI tools (e.g. Claude, Copilot, Cursor, or similar) to improve how you work, from writing and reviewing code, to exploring designs, testing, debugging, and documentation
- Experience working in cross-functional teams to deliver product improvements from idea through to release
Skills You’ll Bring
- Strong product mindset - you make decisions that balance technical quality with customer and business impact, not just engineering elegance
- Ability to use AI effectively in day-to-day work, while critically evaluating outputs, maintaining high standards, and knowing when human judgement matters most
- Solid engineering fundamentals: system design, performance, scalability, and maintainability
- Ability to work across the stack, or deep backend expertise paired with confident frontend delivery
- Strong problem-solving and debugging skills in complex, distributed systems
- Clear, direct communication and a collaborative working style
- Ownership mindset - you focus on delivering outcomes, not just output
What Sets You Apart
- A portfolio of examples showing how you’ve used AI to meaningfully improve your development workflow, not just code generation, but across problem definition, architecture, testing, documentation, and review
- Experience building or contributing to AI-augmented product features
- A habit of experimenting with new tools, techniques, and approaches, and sharing what you learn with your team
- Experience with Node/Go and Vue 3 specifically, or a strong appetite to ramp up quickly
- Familiarity with our infrastructure stack: AWS EKS, RDS/MariaDB, DocumentDB, OpenSearch, RabbitMQ
A Note on AI
At Teamwork, AI isn't nice to have, it’s how we expect our engineers to work. We’re building AI into our product and into our processes, and we want people who are already doing the same. During the interview process, we’ll ask you to share specific examples of how you use AI tools day-to-day: what’s worked, what hasn’t, and how it’s changed the way you approach problems. We’re not looking for hype, we’re looking for practitioners.
Benefits
- Competitive salary
- Up to 30 days vacation
- Pension/Retirement matching
- Health plans and wellbeing programs
- Give Back program
- Educational resources and generous development allowance
- Inclusive policies including maternity, paternity and parent leave
- Recognition programs
- Employee Share Options (ESOP)
Teamwork is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, colour, age, family status, disability, religion, sex, sexual orientation, gender identity, nationality or ethnic origin.
Senior Golang Engineer employer: Teamwork.com
Contact Detail:
Teamwork.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Golang Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with online communities. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI tools. This will give potential employers a taste of what you can do and how you approach problem-solving.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. Don’t forget to brush up on your AI knowledge, as it’s a big part of the role. We want to see how you think and solve problems!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team and contributing to our mission.
We think you need these skills to ace Senior Golang Engineer
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Golang Engineer role. Highlight your experience with Node/Go, AI tools, and any relevant projects that showcase your skills in building customer-facing features.
Showcase Your AI Experience: Since we’re all about integrating AI into our processes, don’t forget to include specific examples of how you’ve used AI tools in your development workflow. This could be anything from coding to testing or even documentation.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your experiences and how they relate to the job. We want to see your personality shine through, so don’t be afraid to let us know what makes you tick!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Teamwork.com
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Node/Go and Vue 3. Brush up on your knowledge of AWS services like EKS and RDS/MariaDB, as well as NoSQL databases. Being able to discuss your experience with these tools will show that you're ready to hit the ground running.
✨Showcase Your AI Experience
Since AI is a core part of the role, prepare specific examples of how you've integrated AI tools into your workflow. Whether it’s using Claude for code reviews or Copilot for design exploration, be ready to discuss what worked, what didn’t, and how it improved your development process.
✨Demonstrate Collaboration Skills
This role requires working closely with product and design teams, so highlight your experience in cross-functional collaboration. Share examples of how you’ve effectively communicated with non-technical stakeholders to solve customer problems and deliver features that create real value.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving skills, especially in complex, distributed systems. Think of scenarios where you had to debug issues or optimise performance, and be ready to walk through your thought process step-by-step during the interview.