Software Engineer

Resaro • Munich, ND

8d • Onsite

About The Position

Resaro builds custom AI testing software that helps organisations validate the performance, robustness, and safety of mission-critical AI systems - spanning computer vision, generative AI, and autonomous systems. Our clients include government, military, and commercial organisations deploying AI in high-stakes environments. We work through embedded teams deployed on-site or closely integrated with our clients.

We're looking for a Software Engineer to be a cornerstone of our AI platform. Our team of AI Engineers and Scientists produce world-class evaluation methodologies - your mission is to build the robust, scalable, and maintainable software that turns those ideas into production systems. This is a broad role: depending on your strengths and our needs, you may focus on backend services, frontend development, infrastructure/DevOps, or security. We track these as weightings, not separate titles.

Requirements

• 3–7 years of professional software engineering experience shipping production systems.
• Strong proficiency in Python, with hands-on experience building REST APIs (FastAPI or similar).
• Experience with Kubernetes and container orchestration; comfort navigating complex multi-service architectures.
• Solid engineering fundamentals: testing, code review, version control (Git), debugging, system design.
• Experience with cloud platforms (AWS), including managed services for compute, storage, and databases.
• Ability to work independently and manage ambiguity in a fast-moving startup environment.
• Clear communicator who can translate technical complexity for non-technical stakeholders.

Nice To Haves

• Experience with Kubernetes and Helm for production workloads.
• Frontend skills: React, TypeScript, Next.js, component systems, data visualisation.
• Infrastructure expertise: Terraform, CI/CD pipeline design, monitoring and observability.
• Security background: application security, DevSecOps, compliance frameworks.
• Familiarity with LLM integration, model serving, or ML-adjacent backend work.
• GPU/CUDA infrastructure experience.
• Experience working in defence, pharma, or other regulated industries.
• Experience with air-gapped or on-premise deployment environments.

Responsibilities

• Architect and build critical backend services and scalable APIs (Python/FastAPI) that power our AI assurance platform.
• Own the full lifecycle of major platform components - from initial design through deployment, monitoring, and long-term maintenance.
• Build and maintain the Kubernetes-based service orchestration infrastructure that underpins AIP, our core platform.
• Develop responsive, data-rich UIs using React/TypeScript and modern frontend frameworks.
• Manage CI/CD pipelines, infrastructure-as-code (Terraform), and Kubernetes environments for production and customer deployments.
• Implement and maintain security practices: DevSecOps, secrets management, compliance (SOC 2, defence procurement).
• Partner with AI Engineers and Product to translate complex evaluation requirements into pragmatic, robust technical solutions.
• Write production-quality code with strong test coverage; mentor other engineers through code reviews and design discussions.
• Identify and address technical debt proactively; improve platform reliability and maintainability over time.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed