Senior DevOps Engineer/Site Reliability Engineer

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