Senior​/Software Engineer; m​/f​/d

What You’ll Do:

• 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 Docker Compose‑based service orchestration infrastructure that underpins AIP, our core platform.
• Develop responsive, data‑rich UIs using React/Type Script 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:
  Dev Sec Ops , 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.

• 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 Docker 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 or GCP), 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.

• Experience with Kubernetes and Helm for production workloads.
• Frontend skills:
  React, Type Script, Next.js, component systems, data visualisation.
• Infrastructure expertise:
  Terraform, CI/CD pipeline design, monitoring and observability.
• Security background: application security, Dev Sec Ops , 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.

Resaro is an Equal Opportunity Employer. We respect each individual and support the diverse cultures, perspectives, skills and experiences within our teams.