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# Site Reliability Engineer (Deployment)

- **Company:** Clientsolv, Inc
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Databases, Data as a Services, Software Debugging, Disaster Recovery, Domain Name System (DNS), Identity and Access Management, Virtual Private Networks (VPN), Python (Programming Language), Key Management, PostgreSQL, Networking Basics, OAuth, OpenID, Role-Based Access Control, Reliability Engineering, Runbook, Single Sign-On, Software Deployment, Data Logging, Scripting, Transport Layer Security, Google Cloud, Load Balancing, Performance Testing, Istio, Large Language Models, Kubernetes, Infrastructure Automation Frameworks, Terraform, Dynatrace
- **Published:** June 9, 2026
- **Apply:** https://www.dice.com/job-detail/3b688d31-8529-49a5-8fdf-48e0966dbd34

## About the Role

Strong Kubernetes administration and troubleshooting experience
Terraform, Helm, Kustomize, and GitOps tools
Cloud platforms (AWS, Azure, or Google Cloud Platform)
Networking fundamentals including DNS, load balancing, TLS, and VPN/private connectivity
Identity and security integration (OIDC, OAuth, SSO, RBAC, secrets management)
Monitoring, logging, distributed tracing, and incident response
Experience with PostgreSQL or similar databases
Scripting/automation skills and ability to read/debug Go or Python code
Strong customer-facing communication skills

Preferred:
Experience in regulated environments (Healthcare, Financial Services, etc.)
Service Mesh, Disaster Recovery, or Chaos Engineering experience
Exposure to AI/LLM-based platforms

Candidates should be able to work onsite in Austin at least 3 days per week. Local candidates are preferred, but candidates willing to relocate or commute from nearby cities will be considered.

## Description

We are hiring Senior Site Reliability Engineers to support enterprise platform deployments for a fast-growing AI-focused technology company. This is a hands-on role working with customer infrastructure teams to deploy, secure, automate, and optimize Kubernetes-based platforms., Deploy and manage applications on Kubernetes environments (AWS, Azure, Google Cloud Platform, or on-prem)
Automate infrastructure using Terraform and GitOps practices
Integrate identity management, networking, security, and data services
Implement observability solutions including monitoring, logging, and alerting
Support production deployments, performance validation, and operational readiness
Create deployment documentation, runbooks, and operational procedures


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