Summary
✨ AI‑Generated
An experienced SRE/DevOps opportunity based in Austin, Texas, focused on designing, deploying, and maintaining cloud infrastructure and automation in a multi-cloud environment. You will work with AWS, GCP, Kubernetes, Docker, Helm, Infrastructure as Code, and GitOps to improve delivery quality and service reliability across multiple engineering teams.
Highlights
Advanced infrastructure and reliability role working across AWS and GCP in a multi-cloud environment. The position offers ownership of automation, Kubernetes, Infrastructure as Code, GitOps, and reliability improvements while collaborating across engineering teams.
Description
Devops SRE
Austin, TX | 8 - 10 years of experience
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