Senior DevOps Engineer/Site Reliability Engineer

Stellar Cyber is a fast-growing global leader in cybersecurity, trusted by major enterprises and government agencies. They are seeking a highly skilled Senior DevOps / Site Reliability Engineer to build, operate, and scale reliable cloud-native infrastructure and distributed data platforms, while driving automation and operational excellence.

Responsibilities:

• Administer and maintain Kubernetes clusters and containerized workloads
• Manage cloud infrastructure across OCI, AWS, GCP, or Azure environments
• Develop and maintain CI/CD pipelines for reliable application deployments
• Implement and manage Infrastructure as Code (IaC) using Terraform and Helm
• Build automation tooling and operational workflows using Python, Go, or Bash
• Drive observability initiatives including monitoring, logging, tracing, and alerting improvements
• Monitor, troubleshoot, and resolve production incidents while participating in on-call rotations
• Support and optimize distributed data platforms including Kafka, Elasticsearch, Spark, Redis, and MongoDB
• Improve platform reliability, scalability, and operational efficiency using SRE best practices
• Collaborate with cross-functional teams across multiple time zones
• Perform Linux system administration and networking troubleshooting
• Contribute to incident response processes, postmortems, and reliability improvements
• Support GitOps and deployment workflows using tools such as ArgoCD and GitHub Actions
• Evaluate and implement AI-assisted operational tooling for auto-remediation, alert correlation, and operational intelligence

Requirements:

• 5+ years of experience in DevOps, SRE, or Platform Engineering roles
• Strong expertise with Kubernetes, Docker, and container orchestration
• Hands-on experience managing production cloud environments
• Strong Infrastructure as Code experience with Terraform and Helm
• Experience with CI/CD tools and deployment automation
• Advanced troubleshooting skills in Linux systems, networking, and distributed systems
• Experience with observability platforms including Prometheus, Grafana, Loki, Alertmanager, and Elastic Stack
• Strong programming and scripting skills in Python, Bash, or Go
• Experience supporting high-availability production systems and on-call operations
• Knowledge of incident management and reliability engineering practices
• Familiarity with data platform technologies such as Kafka, Spark, Elasticsearch, Redis, or MongoDB
• Understanding of AI-driven operational tooling and automated remediation concepts
• Excellent communication, collaboration, and problem-solving skills
• Resides on the East Coast