Senior Devops Engineer

Job Summary

We are seeking a Senior DevOps Engineer to help scale and operate the infrastructure behind BookedBy’s platform. You will design, implement, and maintain AWS cloud environments, manage Kubernetes-based services, and build automation frameworks to ensure our systems are highly available, secure, and performant. You will collaborate closely with software engineers to improve developer productivity, streamline CI/CD with GitLab and ArgoCD, and bring operational excellence to production systems. You’ll also leverage AI tools to automate repetitive tasks, accelerate incident response, and continuously optimize system performance.

Key Responsibilities

• Design, build, and maintain AWS cloud infrastructure supporting BookedBy’s applications.
• Manage and improve Kubernetes clusters (updates, scaling, monitoring, lifecycle management).
• Build and optimize CI/CD pipelines with GitLab and ArgoCD, supporting versioning, rollbacks, and progressive delivery (canary, blue/green).
• Automate infrastructure provisioning and management using Infrastructure-as-Code (Terraform for infrastructure, Helm for Kubernetes applications, ArgoCD for GitOps-driven deployments).
• Enhance observability with metrics, logs, and tracing (e.g., Prometheus, Grafana, Datadog, ELK).
• Implement and maintain security best practices, including continuous audits and compliance readiness (e.g., SOC2).
• Support application migration to Kubernetes and modernization efforts by deprecating legacy deployment tooling.
• Troubleshoot and resolve complex infrastructure and deployment issues in production.
• Write and maintain runbooks and operational documentation to improve reliability and response.
• Use AI-driven monitoring, anomaly detection, and automation to improve reliability and efficiency.
• Participate in an on-call rotation, ensuring fast, effective incident response.

Qualifications & Skills

• 5+ years of DevOps / SRE / Platform Engineering experience.
• Strong expertise with AWS services (EC2, RDS, S3, Route53, ELB/ALB, IAM, networking).
• Hands-on experience managing Kubernetes clusters.
• Proficiency with containers (Docker) and orchestration patterns.
• Strong knowledge of Terraform (infrastructure), Helm (Kubernetes packaging), and ArgoCD (GitOps deployments).
• Experience building and maintaining CI/CD pipelines (GitLab preferred, but familiarity with Jenkins, GitHub Actions, or Bamboo is welcome).
• Familiarity with observability stacks (Prometheus, Grafana, Datadog, ELK).
• Strong scripting/automation skills (Python, Bash, Ruby).
• Proficiency with Linux and command-line troubleshooting.
• Solid understanding of distributed systems, scaling, and cloud security practices.
• Strong collaboration and communication skills.
• Excitement about applying AI to automate workflows, predict incidents, and enhance operational efficiency.

What we offer

• Comprehensive Medical, Dental & Vision Insurance.
• 15 Days of Paid Time Off to recharge.
• Hybrid Work Schedule: 3 days per week in-office (Austin HQ).
• Paid Parental Leave.
• In-Office Gym.
• Professional Development opportunities with access to courses and learning resources.
• Stock Options.