Senior Software Engineer - Python
The opportunity
Enterprise productivity across Europe is under pressure. As complexity increases through geopolitical shifts, labour constraints, and tighter operational interdependencies, many organisations observe that AI and optimization efforts improve local efficiency but fail to deliver structural, enterprise-level gains.
At Superlinear, we address this gap through enterprise orchestration: enabling better system-level decision-making across people, processes, and machines in environments where siloed optimization no longer works.
In our earliest pilots with leading European enterprises, we’ve seen that moving from local optimization to coordinated, enterprise-wide decisions can unlock significant latent capacity. Productivity gains in the range of 10–30% are achievable by reducing systemic friction rather than adding infrastructure.
The 500 largest European enterprises represent roughly €14 trillion in economic output. Enabling even a fraction of them to structurally improve productivity would have impact beyond individual companies.
This is a long-term effort that requires rigor, restraint, and people who care deeply about their craft, take responsibility for outcomes, and are comfortable working on complex, high-stakes systems. This role offers the opportunity to contribute meaningfully to the foundations of enterprise orchestration in Europe’s most critical organisations.
That's why we are hiring a Senior Software Engineer - Python.
The role
As our Software Engineer specialized in Python, you'll be the architect of our core platform infrastructure. You'll write modern, fully type-annotated Python that sets the standard for the team, design elegant abstractions, and build robust systems that define how we deliver software.
What you’ll build
Architectural Design
Design clean abstractions that make complex systems simple to use
Create interfaces that elegantly separate concerns and enable modularity
Architect systems with minimal dependencies and maximum maintainability
Design modern RESTful APIs following OpenAPI specifications and best practices
Define data models that capture business logic while remaining flexible
Build foundational components that other engineers will build upon
Design data connectors that reliably integrate with enterprise systems
Engineering Excellence
Mentor team members through code reviews and architectural discussions
Set the standard for modern Python code quality across the engineering team
Establish architectural patterns and best practices for the entire codebase
Design and implement comprehensive testing strategies
Create exemplary documentation that serves as a learning resource
Build monitoring and observability that provides real operational insight
Robust Backend Systems
Build RESTful APIs that are intuitive, well-documented, and performant
Create systems with deep observability built in from the ground up
Build authentication and authorization systems
Implement robust data validation and processing layers
Develop the core libraries that standardize how we build features
Build security into every layer of the application
