Senior Cloud DevOps Engineer (m/f/d)

ABOUT THIS POSITION

We are looking for a Senior Cloud DevOps engineer who will focus on developing and improving cloud-native services and work closely with the development team and the DevOps/platform engineering team. You will interface closely with experts in robotics, artificial intelligence, frontend engineering, and infrastructure, ensuring our backend systems facilitate seamless integration and high performance across our entire technology stack.

YOUR TASKS

• Lead the continuous refinement of system architecture to improve scalability, reliability, performance, and long-term adaptability.
• Collaborate with development and platform engineering teams to implement architectural improvements aligned with evolving business needs and technology trends.
• Proactively identify bottlenecks and inefficiencies, recommending solutions that support future requirements and multi‑cloud environments.
• Ensure robust, future‑proof, and cloud‑agnostic system designs.
• Integrate services seamlessly with DevOps capabilities and processes.

YOUR PROFILE

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 10+ years of experience in Software Development and Architecture, with hands‑on DevOps experience.
• Experience with infrastructure as code and provisioning tools (e.g., Terraform, Ansible).
• Solid knowledge of cloud technology like AWS, Azure, etc.
• Hands‑on experience with containerization and orchestration technologies such as Docker, Docker Swarm, and Kubernetes.
• Experience with services running in Kubernetes and Docker / Linux Containers.
• Hands‑on experience with reverse proxies (Traefik) in conjunction with service configuration and routing.
• Experience with Terraform, Ansible (Infrastructure as Code), and Helm.
• Experience with database technologies like NoSQL (MongoDB) / SQL (Postgres).
• Lead the design and upkeep of high-performance APIs.
• Proficient with Git‑based workflows.
• Experienced in working with pipelines (Jenkins, GitLab CI, GitHub Actions, …).
• Experienced with message queues like RabbitMQ, Kafka:
  • Design and implementation of event‑driven architectures.
  • Strong understanding of messaging patterns (Pub/Sub, Work Queues, Routing, CQRS, Event Sourcing).
  • Solid knowledge of delivery guarantees (at‑most‑once, at‑least‑once, exactly‑once).
  • Experience with partitioning strategies, consumer groups, and backpressure handling.
  • Hands‑on experience with monitoring, error handling, retry strategies, and dead letter queues.
  • Performance and scalability considerations in distributed systems.
• High proficiency in spoken and written English.

HELPFUL ADDITIONAL QUALIFICATIONS

• Knowledge of real‑time data streaming e.g., WebRTC, gRPC.
• Familiarity with ROS (Robot Operating System).
• Familiarity with service discovery, e.g., Consul.
• Experience with Node.js, TypeScript, Python, and Go.

ABOUT KORIAL

Korial is the Enterprise AI Platform for the autonomous industrial future. From our roots in the labs of TU Darmstadt, we have grown into a team of over 100 people building the intelligence layer that orchestrates autonomous inspections across infrastructure worldwide. Our platform unifies data, missions, and mixed fleets of robots and devices so operators can supervise assets from a single source of truth instead of walking every round on foot.

We work at the intersection of AI, robotics, and industrial operations, turning noisy real‑world telemetry into dependable, actionable insight for customers on five continents. Our team brings together more than 30 nationalities and deep experience in software engineering, robotics, cloud infrastructure, and enterprise operations – including 11 PhDs leading core product development since 2019.