Senior Site Reliability / DevOps Engineer (Cloud & Platform Reliability)

Location: Austin, TX (Hybrid – 2 days onsite, 3 days remote) Duration: May 2026 – August 2026 (Extension Possible) Schedule: Monday–Friday | 8:00 AM – 5:00 PM CST Hours: Up to 780 hours Work Authorization: U.S.-based candidates only Local Candidates Only: Must reside within 50 miles of Austin, TX Overview We are seeking a highly experienced Site Reliability / DevOps Engineer to support enterprise production systems and cloud infrastructure. This role focuses on ensuring system reliability, scalability, and performance by applying software engineering principles to infrastructure and operations. The ideal candidate will partner with development teams to build resilient, observable, and automated platforms aligned with service level objectives (SLOs). Key Responsibilities Platform Reliability & Engineering Design, build, and maintain highly available, scalable distributed systems Ensure system reliability, performance, and uptime across production environments Define and manage SLIs, SLOs, and error budgets Infrastructure & Cloud Operations Manage and optimize cloud environments (AWS or GCP) Implement infrastructure automation and configuration management Support containerized environments using Docker and Kubernetes Monitoring, Observability & Incident Management Implement monitoring, logging, and alerting solutions Perform incident response, root cause analysis (RCA), and postmortems Develop and maintain dashboards, runbooks, and operational standards DevOps & Automation Develop scripts and tools using languages such as Python, Go, Java, or Bash Enable CI/CD pipelines and improve deployment reliability Support progressive delivery practices (canary releases, feature flags) Security & Compliance Integrate security best practices into operational workflows Ensure compliance and reliability standards are maintained across systems Required Qualifications 8+ years of experience in Site Reliability Engineering, DevOps, or Systems Engineering Strong experience with Linux/Unix systems and system internals Proficiency in at least one programming/scripting language ( Python, Go, Java, or Bash ) Experience designing and operating distributed, highly available systems Hands-on experience with cloud platforms (AWS or GCP) Experience with Docker and Kubernetes Strong understanding of monitoring, logging, and alerting systems Experience with SLIs, SLOs, and error budgets Proven experience in incident management and root cause analysis Preferred Qualifications Experience with observability tools such as Prometheus, Grafana, Datadog, Splunk, or Application Insights Experience supporting 24/7 production environments and on-call rotations Familiarity with chaos engineering and resiliency testing Experience with canary deployments and progressive delivery strategies Hybrid role with mandatory onsite days (Monday & Thursday) Occasional after-hours or weekend support may be required All travel or relocation expenses are the responsibility of the candidate J-18808-Ljbffr