A successful and well-established identity technology company is looking for a Senior DevOps Engineer to join a focused infrastructure team supporting one of its core products.
The role combines cloud infrastructure, Kubernetes, CI/CD, observability, networking, and production ownership. You will work as part of a three-person DevOps team and collaborate closely with developers, data engineers, architects, and additional R&D teams.
Key Responsibilities
• Build and operate reliable cloud infrastructure across development and production environments
• Manage infrastructure through code and improve automation across the delivery lifecycle
• Design and maintain Kubernetes environments and deployment workflows
• Develop and optimize CI/CD pipelines and GitOps-based processes
• Support and evolve the company’s DevOps toolset, including Argo CD, Grafana, Prometheus, and Git-based platforms
• Partner with engineering and data teams to support new services, releases, and production requirements
• Strengthen monitoring, alerting, observability, availability, and system performance
• Investigate and resolve infrastructure, deployment, networking, and production issues
• Improve cloud security, traffic management, and WAF-related controls
• Help define scalable DevOps standards and operational practices
Required Experience
• At least 4 years of hands-on DevOps experience
• At least 4 years of experience managing AWS or GCP infrastructure using Infrastructure as Code
• At least 4 years of practical experience with Kubernetes and its ecosystem
• At least 2 years of experience working directly with production systems
• Strong knowledge of GitOps, Helm, CI/CD patterns, and modern deployment strategies
• Experience maintaining highly available and scalable cloud environments
• Familiarity with monitoring and observability platforms such as Grafana and Prometheus
• Good understanding of cloud networking, load balancing, and WAF concepts
• Strong troubleshooting skills and the ability to work across multiple technical domains
Nice to Have
• Experience with GCP data services, including BigQuery, Bigtable, Cloud SQL, or Cloud Spanner
• Familiarity with machine-learning serving platforms such as Ray or Vertex AI
• Hands-on experience with Cloudflare
• Experience with GitHub and Argo CD
• Background supporting large-scale data or AI-driven systems