Senior Software Engineer

Duferco; Lugano; Hybrid; CHF 120.000 - 170.000; Vollzeit

Benefits dieser Stelle

Hybrid work setup

Competitive compensation

Zusammenfassung

Duferco’s Corporate Innovation Team is expanding to develop internal platforms and AI-enabled tooling that streamline operations across energy, trading, logistics, and other domains. You’ll own backend systems end-to-end, from design to deployment, and contribute to data platforms and analytics capabilities.

The role offers high autonomy in a fast-moving, start-up–like environment within a global group, with hybrid work options and opportunities to apply AI-assisted development across diverse

Qualifikationen

• 5+ years building production backend systems in Python.
• Ability to design data models from complex business problems.
• Pragmatic trade-offs between speed, quality, and maintainability.

Aufgaben

• Design and build backend services and APIs using FastAPI, Postgres, and AWS-based services.
• Create AI-enabled automation, agents, and operational tools.
• Develop data and decision-support pipelines and internal analytics tooling.
• Build engineering tooling to improve how we build and ship.

Kenntnisse

Backend design

AI tooling

Data modeling

System architecture

Integration

Tools

FastAPI

PostgreSQL

AWS

Jobbeschreibung

We are expanding Duferco’s Corporate Innovation Team: a fast-moving engineering team operating in a start-up-like environment, backed by the stability and scale of a diversified global group.

You will work on a wide variety of projects across domains such as energy, trading, logistics, steel, insurance, sports, and other sectors — not as an external consultant, but as part of the group itself, with the ownership and continuity of an internal product and engineering team.

You will build internal platforms, AI-enabled tools, automation systems, and backend infrastructure that remove operational bottlenecks, improve decision-making, and create leverage across the business.

About the Team

We sit close to real business problems and have the freedom to prototype and ship quickly. AI is already part of our daily workflow, and we expect that role to keep expanding.

We care about building things well, shipping systems that create leverage, and working with people who make the team better.

We appreciate engineers who enjoy ownership, fast iteration, pragmatic problem solving, and AI-assisted development.

What You’ll Do

Design and build systems that make the organization faster and smarter:

• Backend services and APIs, mainly with FastAPI, Postgres, and AWS-based services
• Integrations across internal and third-party systems, often where the hard part is understanding the domain, not the code
• AI-enabled automation, agents, and operational tools
• Engineering tooling that improves how we build and ship
• Data and decision-support pipelines, including data platforms and internal analytics tooling

You’ll help identify opportunities, prototype, ship, measure impact, and iterate — not just execute specs.

What We Offer

• A high-autonomy role with direct influence on what gets built
• Modern AI-assisted engineering tools and time to explore new technologies and approaches
• A fast-moving, collaborative environment with talented and ambitious people
• A broad variety of technical and business challenges across different domains
• Competitive compensation and benefitsli>
• Flexible working hours and hybrid work setup

You’re Probably a Fit If

• You have 5+ years building production backend systems in Python, and could comfortably own a FastAPI service from design to deployment
• You can design a data model from a messy business problem — choosing the right entities, relationships, and trade-offs — not just implement one someone else specified
• You make pragmatic trade-offs between speed, quality, and maintainability, and can explain why
• You enjoy integration work and take the time to understand a business process before modeling it in code
• You use AI coding tools daily — Claude Code, Codex, Cursor, or similar — and have opinions about where they help and where they don’t
• You’re comfortable with Postgres in production, including schema design, query performance, and migrations, and have experience with AWS

Experience with data warehouses such as Redshift, LLM applications, agent frameworks, MCP servers, or complex operational domains is a strong plus.

You do not need experience with every technology we use. Strong engineering ability, adaptability, and willingness to learn matter much more.

If this sounds like the right fit for you, we’d love to hear from you.