TL;DR
Tolemy is building Orbit, the control panel for the cell: a platform that helps scientists connect experimental data, biological knowledge, and AI models to understand and improve cellular systems.
We’re hiring a Senior Software Engineer to build the platform and infrastructure behind Orbit. You’ll work across backend systems, data workflows, agentic infrastructure, reliability, deployment, observability, and product-facing services - helping turn a powerful early product into software scientists can depend on.
About Tolemy
Biology is becoming programmable, but scientists still lack the tools to understand, predict, and direct how cells behave.
At Tolemy, we’re building Orbit as a control layer for cell function: a platform that connects experimental data, biological knowledge, and AI models to build useful digital representations of cells. Our platform helps scientists move from observation to intervention.
We’re starting in therapeutic development, where better models and better experimental tools can help teams improve cell performance, manufacturing, and the development of life-saving therapies.
The goal is not just to predict what cells will do, but to help scientists understand why they behave the way they do, what to test next, and how to improve them.
If you want to build models and software that change how scientists understand cells, design experiments, and develop life-saving therapies, we’d love to meet you.
Company highlights
- Recently funded and building fast. We’ve raised our pre-seed round from top European investors and are using it to build a small, exceptional technical team in Barcelona.
- A rare technical problem. This is software infrastructure for messy scientific data, AI-native workflows, and systems where correctness, context, and trust really matter.
- Real commercial pull. Orbit is being built around real customer problems, active collaborations, and experimental datasets in advanced therapies and biomanufacturing.
- Early enough to shape the foundations. You’ll help define our technical approach, infrastructure, engineering culture, and product foundations from the beginning.
- A deeply interdisciplinary team. You’ll work directly with a team across cell biology, systems biology, software, product, and machine learning.
Life at Tolemy
We’re building an in-person team in Barcelona, working together in English. We support relocation and visa sponsorship where needed.
Our values are simple: stay curious, be kind always, and move with purpose. We care about technical depth, but also about how people work together, learn, communicate, and support each other.
We offer competitive salary, meaningful early-employee equity, flexible time off, flexible work-from-home arrangements, a learning and conference budget, high-quality equipment, and practical support to help you make Barcelona home if it’s not already.
Engineering Challenges
Making messy science computable. Scientific work does not arrive as clean product data. Experiments have context, metadata, decisions, failures, revisions, and uncertainty. How do we build systems that turn this into structured, queryable, trustworthy software infrastructure?
Building reliable AI-native workflows. Orbit uses AI and agentic systems, but scientific users need more than impressive outputs. How do we design systems that are robust to non-determinism, transparent under failure, and dependable enough for real scientific work?
Scaling foundations without slowing down. We are a small team building a complex product. How do we create backend, data, deployment, observability, and security foundations that let us move quickly without accumulating fragile systems?
What We’re Looking For
We’re looking for a senior engineer with strong backend, infrastructure, and systems judgment who has taken complex products or technical systems into production.
You should be comfortable across APIs, cloud infrastructure, data systems, reliability, observability, security, and product-facing workflows. Your deepest expertise is likely backend or platform, but you should be willing to work across the stack when the product needs it.
You should be able to reason clearly about data models, failure modes, cost, maintainability, deployment, and user impact. You should enjoy ambiguity, broad ownership, and building foundations that other engineers, scientists, and users can depend on.
You do not need to know biology already. We can teach you. But you should be curious about scientific data, willing to learn from scientists, and motivated by building tools for a domain where correctness, context, and trust really matter.
You should be excited about building software around AI agents and large language models as a real engineering challenge. You understand that these systems are powerful but limited, and you want to build architecture that is robust today and ready to improve as capabilities mature.
Nice to Have
- Experience in an early-stage startup, deep tech company, high-growth company, or fast-moving product team.
- Experience with AI-native products, agentic workflows, data platforms, workflow-heavy software, developer tools, or technical SaaS.
- Experience with scientific, healthcare, biotech, laboratory, or other complex technical domains.
- Experience with modern cloud infrastructure, infrastructure-as-code, observability, security, or deployment systems.
- Experience designing systems for complex, messy, evolving, or high-value data.
Job Type: Full-time
Pay: 60,000.00€ - 80,000.00€ per year
Work Location: In person
