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Devops SRE

Vaarida Technologies llcAustin, TX🇺🇸United StatesPosted 3 Sept 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Austin, TX, United States
Posted
Yesterday
DockerAWSArgoCDBashDatadogGoogle CloudGrafanaHelmJavaJavaScriptKubernetesPrometheusPythonTerraformTypeScript

Job Description

Position - Devops SRE

Location - Austin, TX

Experience - 8+ Years

Type - Full Time

Type - Full Time



Job Description-

You will be responsible for designing, developing, deploying, and maintaining cloud-basedinfrastructure and automation tooling in a multi-cloud environment spanning AWS and Google Cloud Platform. 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; Google Cloud Platform 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 platformautomation
  • Prior experience in a platform or shared-services engineering team supporting multiple application teams
  • Exposure to multi-cloud infrastructure patterns

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