Top SRE Engineer Jobs in Austin, TX

Lead cloud-native rearchitecture of a large monolithic system into microservices using AWS/Azure and Kubernetes. Design resilient, highly available infrastructure with Terraform, implement monitoring/alerting, solve complex cloud networking and security challenges, drive DevOps/CI-CD adoption, evaluate technologies, and mentor engineering teams.

Operate and scale ThousandEyes Federal region infrastructure in a FedRAMP-compliant AWS environment. Design, deploy, and automate cloud-native services, implement IaC, monitor and audit systems, collaborate with security teams to remediate vulnerabilities, participate in 24x7 incident response and capacity planning, and ensure platform reliability, performance, and compliance.

Provides technical leadership for site reliability and operational development. Designs automated, repeatable cloud and infrastructure solutions; monitors service objectives and business metrics; improves application resiliency, performance, efficiency, and cost. Builds monitoring, deployment, testing, and vulnerability-response automation while supporting mission-critical production systems. Collaborates with software, security, product, and business teams, conducts technical training and resilience exercises, and promotes sound development, change-management, and operational practices.

Architects and owns highly available infrastructure and Kubernetes-based platforms supporting autonomous systems. Builds Golang backend services, platform tooling, observability systems, dashboards, alerts, and log aggregation. Partners with product teams to launch services, performs performance analysis, manages cloud upgrades, and participates in incident response and postmortems. Collaborates on cloud security risk assessments, intrusion detection, threat-feed systems, risk mitigation, and SaaS payment processes. Provides architectural leadership and mentorship across engineering teams.

Own production operations and highly available cloud infrastructure for regulated government environments. Lead incident response, root-cause analysis, disaster recovery testing, compliance operationalization, audit readiness, vulnerability management, and continuous monitoring. Build automation, secure CI/CD pipelines, infrastructure-as-code, observability, and compliance tooling across Kubernetes, Linux, containers, and cloud platforms. Partner with security, compliance, and engineering teams to improve reliability, deployment safety, and regulatory sustainment.

Own and scale the GPU compute fleet: build metrics, alerting, observability, and repair automation; design GPU qualification/burn-in pipelines; own Redfish/BMC tooling and firmware telemetry; run incidents, eliminate toil, and deliver end-to-end reliability and orchestration for Kubernetes and bare-metal compute at hyperscale.

As a Site Reliability Engineer, you'll build and manage observability platforms for satellite communications, define SLOs/SLIs, and collaborate on incident response and deployment automation.

Assist with monitoring system performance, uptime, and reliability; support incident response, troubleshooting, and root cause analysis; monitor SRE alerts in Slack and report issues; learn cloud platforms; and collaborate with development and DevOps teams.

Design, build, and maintain scalable infrastructure and tooling to improve availability, reliability, performance, and security. Implement SRE practices (SLI/SLO/SLA), eliminate toil, monitor telemetry, participate in incident response and on-call rotation, and collaborate cross-functionally to support global production systems.

Operate and harden production logistics decision systems for classified and cloud environments. Own availability, monitoring, incident response, CI/CD and IaC automation, and compliance (RMF/STIG/ATO). Partner with engineers and government stakeholders, document runbooks, and support deployments in air-gapped and multi-cloud environments while traveling frequently to customer sites.

Lead architecture and implementation of reliability platforms and SRE practices for a production SaaS. Build self-service reliability tooling, drive AIOps automation, advance observability (monitoring, tracing, profiling), lead incident response and postmortems, mentor engineers, and embed production readiness across teams to achieve 99.99% uptime.

Own and improve production infrastructure reliability, deployments, Infrastructure-as-Code, Kubernetes environments, automation, CI/CD, monitoring, alerting, and observability. Investigate incidents, optimize system performance, maintain documentation and runbooks, and support DNS, WAF, CDN, and caching infrastructure. The role requires strong Linux administration, Bash scripting, networking, Git, and containerization skills, with independent ownership and collaboration across development and operations teams.

The Site Reliability Engineer will ensure reliable cloud operations by applying Python for infrastructure automation, managing OpenStack and Kubernetes, and practicing devsecops in a fast-paced environment.

As a Site Reliability Engineer II, you'll automate tasks, monitor AI workloads, enhance dashboards, support CI/CD processes, and collaborate with engineering teams on complex issues while participating in on-call rotations.

This role involves managing Kubernetes clusters, cloud infrastructure, and CI/CD pipelines. The engineer will enhance system reliability and efficiency while troubleshooting production issues.

Lead reliability practices across teams: embed early in projects, define SLIs/SLOs, build multi-cloud paved roads with Terraform, run on-call, drive org-wide incident maturity and tooling.

Lead design, build, and scale of Kubernetes-based, multi-tenant infrastructure and AI tooling. Own CI/CD, IaC, GitOps, and streaming analytics (Kafka/Flink/ClickHouse). Improve observability, SLOs, automated testing, progressive delivery, incident response, and mentor teams on reliability, security, and automation.

Own reliability and security of CI/CD and production services: define SLI/SLOs, lead incident response and postmortems, build observability (Datadog), operate Kubernetes and IaC (Terraform), harden pipelines with SAST/DAST/SCA and policy-as-code, and coach teams on reliability and operational best practices.

Leads SRE engineering leaders and engineers while defining enterprise observability, reliability, and platform strategy across GCP, on-premise, manufacturing, distribution, and campus environments. Oversees vendor-agnostic tooling, OpenTelemetry integrations, CI/CD observability, SRE maturity models, and Agentic AI initiatives. Drives adoption of SRE practices, develops technical roadmaps, partners with senior leadership and operational teams, and maintains hands-on architectural and technical credibility.

Design, build, and maintain cloud infrastructure and CI/CD for a high-availability telecommunications product. Define SLOs/SLIs, manage incident response and on-call rotations, implement observability, perform performance and capacity planning, run blameless postmortems, and collaborate with security teams to ensure compliance and access control.

Design, build, and maintain highly available cloud-native systems. Improve reliability through automation, CI/CD, Kubernetes, observability, and incident management. Collaborate with developers, security, and product teams to define SLOs, implement self-healing, debug production issues, and ensure secure deployments.

Design and operate large-scale GPU infrastructure for distributed AI training, ensuring reliability, performance, and efficient customer partnerships.

Design, develop, test, and operate scalable infrastructure and services for Akamai Cloud. Implement and manage Infrastructure-as-Code (Terraform and similar tools), CI/CD, and observability. Automate reliability improvements, mentor engineers, collaborate on incident response and root-cause remediation, and participate in on-call rotations.

Build and operate Nebius's network infrastructure: define SLIs/SLOs, improve site and inter-site reliability, lead incident response and postmortems, develop observability and alerting, automate change workflows, and collaborate with network and platform teams to embed operability.

The role involves managing compute infrastructure for decentralized applications, requiring critical thinking, documentation skills, and experience in Kubernetes and blockchain management.