DevOps Engineer

Role overview A platform-focused DevOps role responsible for building, operating, and improving the cloud infrastructure, Kubernetes environments, and delivery pipelines that power a managed security services portfolio. The work blends site-reliability engineering with security-first thinking, supporting development and security teams in an Agile setting to keep the platform reliable, hardened, and easy to ship on.

Responsibilities - Operate and improve production Kubernetes clusters across multiple cloud providers, including upgrades, capacity planning, and incident troubleshooting - Build and maintain Helm charts and GitOps-driven deployment workflows - Design, build, and refine CI/CD pipelines alongside development teams - Manage releases across development, staging, and production, including versioning, promotion, and rollback - Provision and manage cloud infrastructure as code with Terraform - Improve observability through metrics, logging, dashboards, and alerting; manage DNS, certificates, gateways, and routing - Handle secrets, workload identity, SSO, and least-privilege access across the platform - Identify and remediate vulnerabilities in images, dependencies, and infrastructure; participate in on-call rotation

Requirements - 4+ years in DevOps, SRE, platform, or infrastructure engineering supporting production systems - Strong fundamentals in Linux, networking (DNS, TLS, HTTP, routing, load balancing), and service architecture - Hands-on production Kubernetes experience plus comfort with Docker and managed container services - Helm chart authoring and maintenance - GitOps experience with ArgoCD, Flux, or similar - CI/CD pipeline experience with GitHub Actions, Jenkins, GitLab CI, or comparable tools - Infrastructure as code with Terraform or equivalent - Solid grasp of cloud compute, networking, IAM, and storage in at least one major provider - Scripting in Bash plus Python or Go; Agile/Scrum team experience

Nice to have - CKA, CKAD, CKS, AWS, or HashiCorp certifications - Multi-cloud experience across AWS, GCP, and Azure - Kubernetes Gateway API, Argo Workflows, or KEDA - Vulnerability scanning tools such as Snyk or Trivy - Managed observability platforms like Datadog, Dynatrace, or New Relic - Background in security services, MSSP, or MDR environments

Benefits and work setup Hybrid model with 2–3 days in office. Anticipated pay of $120,000–$140,000. Benefits include medical coverage for employees and dependents, life insurance, retirement match, paid time off plus sick and casual leave, maternity and paternity leave, bereavement and volunteer time, professional development reimbursement, a learning platform subscription, and mobile phone reimbursement.