Site Reliability Engineer

• Manage and deploy containerized applications across diverse environments (GKE, EKS, and on-premises Kubernetes).
• Deploy releases to production environments and ensure successful rollouts.
• Maintain and operate complex infrastructure, ensuring high availability and optimal performance through proactive system administration.
• Prepare and synchronize staging environments to mirror production conditions, including configuration adaptation and QC validation support.
• Maintain and enhance monitoring and alerting stacks (Prometheus, Grafana, Alertmanager) to improve system visibility.
• Participate in on-call rotations and perform root-cause analysis (RCA) to resolve production issues and prevent recurrence.
• Design and implement procedures for system troubleshooting, maintenance, and automated recovery.
• Implement and manage InfoSec configurations, including firewall management, backup strategies, and security hardening.
• Provide high-level technical support, resolving complex escalation.
• Collaborate with Project Managers and cross-functional teams to align infrastructure capabilities with project requirements and timelines.
• Research and adopt innovative technologies to continuously improve system reliability, security, and automation.

• 3+ years of proven experience as an SRE, IT Operations Engineer, or Systems Administrator.
• Excellent verbal and written English skills.
• Strong Linux system administration and deep understanding of networking concepts.
• Hands-on experience managing Kubernetes clusters.
• Proficiency with monitoring and alerting stacks (Prometheus, Grafana, Alertmanager).
• Solid understanding of infosec principles and best practices.
• Strong automation mindset with scripting skills in Python, Bash, or similar.
• Ability to manage multiple priorities and work effectively under pressure.
• Pragmatic, responsible, and collaborative approach to problem-solving.

• Hands-on experience with on-premises Kubernetes installations.
• Experience with microservice architecture and Helm.
• Experience with Jsonnet for deployment configurations.
• Understanding of Machine Learning, Computer Vision, or AI-based video analytics.
• Familiarity with QA practices and CI/CD workflows.
• Experience using AI tools to enhance automation and productivity.
• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Relevant certifications (CKA/CKAD, AWS, Google Cloud).

• Participation in making important decisions, your ideas will be heard and implemented.
• Always remote work and a flexible schedule.
• Paid vacation, paid sick leaves.
• Paid relevant courses/online education.
• Great company culture based on honesty and mutual respect.
• Live team events.

Assaia International AG provides AI-based software solutions for global airports and airlines. We were founded in February 2018 in Switzerland, headquartered in Zurich and New York and we have a fast-growing team located across Europe and North America.

Assaia offers AI-based computer-vision solutions that monitor and analyse aircraft turnaround processes from video streams. Assaia’s solutions help airports and airlines improve on-time performance, efficiency, safety, and sustainability metrics, helping them get their passengers to their destinations on time. We work with aviation companies across the world including New York JFKIAT, Toronto Pearson, United Airlines, British Airways, London Heathrow and more. See details and demos on our website and Linkedin!