Senior/Staff Site Reliability Engineer

Stellar Cyber

full-time

Posted on: 9/16/2025

Origin: • 🇺🇸 United States • Florida, Massachusetts, New York, North Carolina

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Senior

AWSAzureCloudCyber SecurityDistributed SystemsElasticSearchGoogle Cloud PlatformGrafanaKafkaKubernetesLinuxMongoDBPrometheusPythonRedisSparkTerraform

About the role

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.

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.