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Devops SRE

TATA Consultancy Services LimitedAustin, TX🇺🇸United StatesPosted Oct 16, 2026

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Austin, TX, United States
Posted
3 days ago
DockerAWSArgoCDBashDatadogGoogle CloudGrafanaHelmJavaJavaScriptKubernetesPrometheusPythonTerraformTypeScript

Job Description

Job Description:
Job Title: Devops SRE
Job Location: Austin, TX (Onsite)
Years of Experience Required: 8 - 10 Years
You will be responsible for designing, developing, deploying, and maintaining cloud-based
infrastructure 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 platform
• automation
• • Prior experience in a platform or shared-services engineering team supporting
• multiple application teams
• • Exposure to multi-cloud infrastructure patterns

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