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# Site Reliability Engineer

- **Company:** Stellar Cyber
- **Location:** Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Bash Shell, Cloud Computing, Computer Programming, Databases, Continuous Integration, Linux, DevOps, Distributed Data Store, Distributed Systems, Elasticsearch, Github, Python (Programming Language), Linux System Administration, MongoDB, Octopus Deploy, Redis, Reliability Engineering, Cloud Services, Prometheus, Data Logging, Google Cloud, Cloud Platform System, Delivery Pipeline, Grafana, Apache Spark, Kubernetes, Information Technology, Apache Kafka, Bitbucket, Data Management, Terraform, Oracle Cloud Infrastructure, Programming Languages
- **Published:** August 15, 2026
- **Apply:** https://es.trabajo.org/oferta-4021-b30cfa9e38774f76ce20e35f9363fda2

## About the Role

(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. - Certifications in AWS, GCP, Observability, Linux or Kubernetes are a plus.

## Description

available and resilient platforms. As a senior member of the SRE team, you will not only operate complex distributed systems but also influence architecture, tooling, and best practices to ensure operational excellence. Please note, as part of our interview process, we may invite candidates for an in-person interview to meet with our team. 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


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