Staff SRE Engineer

Stellar Cyber is seeking a Staff Site Reliability Engineer (SRE) to enhance the reliability, scalability, and efficiency of their cybersecurity platform, leveraging cloud infrastructure, Kubernetes, and observability tools.

Location: Hungary

Salary: €65,000–€85,000

Responsibilities

• Administer and maintain container orchestration platforms and containerized workloads.
• Monitor and troubleshoot production systems, participating in on-call rotations to ensure reliability.
• Drive observability improvements by enhancing monitoring, logging, and alerting capabilities across systems and data platforms.
• Administer and optimize cloud-based environments across multiple providers.
• Manage and support distributed data platforms and real-time processing systems.
• Develop and maintain continuous integration and delivery pipelines for efficient and reliable deployments.
• Own and implement Infrastructure as Code (IaC) practices to ensure consistency and scalability.
• Automate and orchestrate infrastructure using programming and scripting languages.
• Perform system administration and networking tasks to support internal and external environments.
• Collaborate effectively with engineers and stakeholders across different time zones.

Requirements

• 5+ years of experience in Site Reliability Engineering, DevOps, or Platform Engineering roles.
• Proven success leading large-scale production systems in cloud environments (AWS, GCP, Azure, or OCI).
• Demonstrated leadership in driving incident response, on-call best practices, and reliability-focused culture.
• Strong experience with production on-call operations and incident management.
• Advanced proficiency in Kubernetes administration and troubleshooting.
• Hands-on experience with observability tools: Prometheus, Grafana, Loki, and Alertmanager.
• Knowledge in chat-based operations interfaces and/or auto-remediation controllers using AI agentic framework.
• Understanding of AI agents for Auto-triaging alerts, correlate signals and suggest/root-cause hypotheses.
• Expertise in operating data platforms (Elasticsearch, MongoDB, Spark, Kafka, Redis).
• Proficiency with public cloud services (AWS, Azure, GCP, or OCI).
• Strong programming and automation skills in Python and Bash.
• Deep understanding of Infrastructure as Code (Terraform, Helm).
• Experience with CI/CD pipelines (GitHub Actions, Bitbucket, ArgoCD).
• Strong technical background in distributed systems, databases, networking, and Linux administration.
• Excellent problem-solving, communication, and leadership abilities.
• Bachelor's degree in Computer Science, Engineering, or a related technical field.