Summary
✨ AI‑Generated
A technology organization is seeking a DevOps/SRE professional to design, develop, deploy, and maintain cloud infrastructure and automation across multiple cloud providers. You will work with platform and application teams to enable reliable software delivery through Kubernetes, Infrastructure as Code, containerization, and GitOps workflows.
Highlights
Opportunity to design and operate multi-cloud infrastructure, enable high-quality software delivery, drive GitOps practices, and improve reliability while collaborating directly with engineering and application teams.
Description
Job Description
You will be responsible for designing, developing, deploying, and maintaining cloud-based
infrastructure and automation tooling in a multi-cloud environment spanning AWS and
GCP.
You will work directly with Platform Engineering, software development, and
application teams to enable high-quality software delivery, maintain GitOps-driven
deployments, and improve service reliability.
The ideal candidate has strong software
development skills, is comfortable with Infrastructure as Code, container orchestration,
and GitOps workflows, and thrives in a fast-paced environment with multiple stakeholders
and shifting priorities.
Minimum Qualifications
Bachelor's degree in Computer Science or equivalent 5+ years of hands-on experience in DevOps, SRE, or Platform Engineering roles Strong experience with Kubernetes and container-based workloads (Docker, Helm) Experience with Infrastructure as Code tools (Terraform, OpenTofu, or similar) Experience with GitOps tooling—ArgoCD or FluxCD required Proficiency in at least one programming or scripting language (Java, Python, Go, JavaScript/TypeScript, Bash, or similar) Understanding of software design principles, software architecture, APIs, and automated testing Solid understanding of CI/CD pipelines and release automation Experience with cloud platforms—AWS required; GCP experience a plus
Preferred Qualifications
Experience with declarative or domain-specific configuration languages like Pkl Hands-on experience with FluxCD managing multi-cluster GitOps deployments Experience with observability tooling: Datadog, Grafana, or Prometheus Experience with managed Kubernetes (EKS, GKE) Experience developing internal tools, services, integrations, or platform automation Prior experience in a platform or shared-services engineering team supporting multiple application teams Exposure to multi-cloud infrastructure patterns
Salary Range: $110,000-$130,000 a year
