Devops SRE

Vaarida Technologies Llc

Austin, TX, United States

4 days ago

Apply on www.dice.com

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Java (Programming Language) JavaScript (Programming Language) Application Programming Interfaces (APIs) Amazon Web Services Application Release Automation Automation of Tests Bash Shell Computer Programming DevOps Python (Programming Language) Software Architecture Prometheus

+14 more

Software Engineering TypeScript Datadog Scripting Google Cloud Grafana Multi-Cloud Solid Principles Kubernetes Infrastructure Automation Frameworks Information Technology Terraform Docker Golang

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.

Requirements

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, * 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