(Senior) DevOps Engineer with Backend Development

Global Risk Assessment Services (GRAS) provides environmental and social knowledge for traceable and sustainable supply chains. The Senior DevOps Engineer will share ownership of AWS and GCP cloud platforms, improve infrastructure and CI/CD workflows, and develop production-ready backend services and automation solutions. The role also focuses on platform security, reliability, backend APIs, data processing, and geospatial system integration.

Responsibilities:

• Share ownership of our cloud infrastructure (AWS and GCP) and ensure the reliable operation of our platforms and services
• Design, implement, and continuously improve CI/CD pipelines and deployment workflows
• Manage, maintain, and optimise containerised applications and environments using Docker
• Develop, maintain, refactor, and review production code for backend APIs, automation workflows, and data processing pipelines, primarily in Python
• Ensure the stability, performance, scalability, and security of our platforms and backend services
• Contribute to strengthening our security architecture and support compliance with ISO-related requirements
• Identify operational risks, troubleshoot incidents, and proactively improve system reliability and resilience
• Collaborate closely with our GIS and software development teams to integrate geospatial systems and applications
• Create and maintain technical documentation and contribute to the standardisation of infrastructure and deployment processes
• Actively contribute to cross-functional projects and continuous improvement initiatives

Requirements:

• University degree in Computer Science, Software Engineering, IT Security, or a comparable field
• At least 3 years of experience in DevOps, backend development, or platform engineering
• Experience working with or understanding secure systems / compliance environments (e.g. ISO 27001)
• Strong experience with Docker and containerisation
• Very good knowledge of Linux systems and shell scripting
• Experience working with cloud platforms (preferably AWS and GCP)
• Familiarity with CI/CD tools (e.g. GitHub Actions or similar)
• Solid programming skills in Python
• Solid understanding of API design and backend architecture is highly desirable
• Strong analytical and problem-solving skills with a structured and solution-oriented mindset
• Ability to take ownership of critical systems and deliver reliable, high-quality solutions
• Proactive, hands-on working style with a continuous improvement mindset
• Strong communication and collaboration skills in interdisciplinary teams
• Excellent English language skills (at least C1, written and spoken)
• Hands-on experience with Infrastructure as Code (e.g. Terraform) is a strong advantage
• Familiarity with data processing pipelines and automation workflows is considered an advantage
• Exposure to geospatial**data and tools (e.g. PostGIS, GeoPandas) is a plus
• Knowledge of satellite data or environmental datasets is an advantage
• German language skills are an advantage