At a Glance
- Tasks: Build innovative AI software for bioanalysis workflows and enhance user experience.
- Company: Join a cutting-edge tech company focused on transforming scientific processes.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on learning and innovation.
- Why this job: Make a real impact in science with your engineering skills and creativity.
- Qualifications: Strong full stack experience with React, Python, and cloud infrastructure.
The predicted salary is between 60000 - 80000 € per year.
Science Machine is building agentic AI software for automating bioanalysis workflows. Our platform helps scientists and bioanalysis teams turn complex analytical processes into reliable, repeatable, AI-assisted workflows across data ingestion, analysis, reporting, review, and compliance.
We are looking for a Senior Full Stack Engineer to take ownership of both product and infrastructure development. This is a broad, hands-on engineering role for someone who is comfortable moving between user-facing product work, backend API design, database modelling, cloud infrastructure, Kubernetes workloads, and deployment pipelines.
You will work close to the core product: building interfaces scientists use every day, designing the systems that run agentic workflows, and hardening the platform as it moves from pilots into production customer environments.
What you'll do
- Build product features across React, Next.js, and TypeScript.
- Design, build, and maintain backend Python backend services and APIs.
- Own PostgreSQL database design, data modelling, schema migrations, and query performance.
- Build and maintain infrastructure using Terraform, Docker and Kubernetes, on GCP.
- Improve the reliability, scalability, and maintainability of production systems.
- Take part in on-call support to investigate and fix production issues when they arise.
- Listen to user feedback, identify product opportunities, design practical solutions, test them with users, and ship improvements quickly.
- Work with scientists, customers, and the wider team to turn real bioanalysis workflows into robust product capabilities.
- Help shape engineering practices in a small, fast-moving technical team.
- Make pragmatic technical decisions across the full stack, balancing product speed with long-term system quality.
Essential experience
- Strong full stack engineering experience with modern React, Next.js, TypeScript, and backend REST APIs.
- Strong Python backend/API development experience.
- Strong PostgreSQL experience, including schema design, migrations, indexing, and data modelling.
- Experience managing cloud infrastructure with Terraform.
- Experience running production workloads on GCP and Kubernetes.
- Strong CI/CD and Git workflow experience.
- Experience owning systems end to end, from design and implementation through deployment, monitoring, and debugging.
- Experience supporting and maintaining production services, including complex system migrations with minimal downtime.
- Comfort working in ambiguous, fast-moving environments where product and technical requirements evolve quickly.
Nice to have
- Experience with security, access control, RLS, authorisation, or compliance-conscious product development.
- Experience with observability, incident response, production debugging, tracing, or reliability engineering.
- Experience building agentic AI systems, and sandboxed execution environments for running untrusted code.
- Experience with scientific, bioinformatics, cheminformatics, mass spectrometry, LC-MS, ADME, or regulated laboratory workflows.
- Experience with Stripe billing, subscriptions, and team account management.
Essential qualities
- High ownership: you notice what needs doing and carry it through.
- Product-minded: you care about whether scientists can actually use what you build.
- Systems-minded: you can reason across frontend, backend, database, infrastructure, and deployment boundaries.
- Pragmatic: you choose simple, robust solutions and avoid unnecessary abstraction.
- Reliable under ambiguity: you can make progress when requirements are incomplete.
- Security-conscious: you understand the importance of permissions, auditability, and data boundaries.
- Clear communicator: you can explain technical decisions to engineers, scientists, and founders.
- Curious about science: you do not need to be a bioanalysis expert, but you should want to learn the domain.
Senior Full Stack Engineer, Product & Infrastructure employer: ScienceMachine
At Science Machine, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to take ownership of their projects. As a Senior Full Stack Engineer, you will have the opportunity to work closely with scientists and contribute to meaningful advancements in bioanalysis workflows, all while enjoying a supportive environment that encourages professional growth and development. Our commitment to cutting-edge technology and employee well-being makes us an exceptional employer in the heart of the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Full Stack Engineer, Product & Infrastructure
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those using React, Python, and Kubernetes. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. We recommend doing mock interviews with friends or using platforms that simulate real interview scenarios.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Senior Full Stack Engineer, Product & Infrastructure
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Full Stack Engineer role. Highlight your full stack engineering experience, especially with React, Next.js, and Python, as well as any cloud infrastructure work you've done.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about building AI software for bioanalysis. Share specific examples of how you've tackled similar challenges in the past and how you can contribute to our mission.
Showcase Your Projects:If you've worked on relevant projects, whether personal or professional, make sure to include them. We love seeing real-world applications of your skills, especially if they relate to the technologies we use.
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 us you’re keen to join our team!
How to prepare for a job interview at ScienceMachine
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in React, Next.js, TypeScript, and Python. Brush up on your PostgreSQL skills too, especially around schema design and migrations. Being able to discuss your past projects and how you’ve used these technologies will show that you’re the right fit for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, particularly around cloud infrastructure and Kubernetes. Think of examples where you improved system reliability or handled production issues. This will demonstrate your ability to thrive in fast-moving environments.
✨Communicate Clearly and Effectively
Practice explaining complex technical concepts in simple terms. You’ll need to communicate with scientists and team members who may not have a technical background. Being a clear communicator can set you apart from other candidates.
✨Demonstrate Your Curiosity About Science
While you don’t need to be a bioanalysis expert, showing genuine interest in the field can go a long way. Research the company’s work and be ready to discuss how your engineering skills can contribute to their mission. This will highlight your product-minded approach.
