Top DevOps Jobs in Austin, TX

The role involves maintaining cloud infrastructure, collaborating with engineering teams, troubleshooting issues, deploying solutions, and ensuring system reliability.

Manage and advance internal server lab and compute infrastructure: hardware board bring-up, lab IT and networking, CI/CD (GitLab) reliability, provisioning automation, MAAS administration, backup/recovery, co-lo logistics, cloud zone maintenance, security escalations, procurement coordination, documentation, and platform enablement support.

As a Lead Infrastructure Engineer, you'll enhance database reliability, automate infrastructure, collaborate on initiatives, and participate in on-call duties.

Lead design and ownership of GCP and Cloudflare infrastructure, implement Terraform-based infrastructure-as-code, evolve monitoring and alerting, participate in 24/7 on-call rotation, improve build and deployment pipelines, mentor engineers, and drive cross-team architecture and execution.

The Staff Cloud Solutions Architect will lead technology strategy for cloud and enterprise accounts, build customer relationships, guide solution design, and influence product roadmaps.

The Production Support Manager will ensure the stability and performance of a SaaS platform, lead a support team, perform root cause analysis, and collaborate with development and operations teams.

The Senior DevOps Engineer will manage AI deployments, enhance cloud environments, implement Infrastructure-as-Code, and ensure software reliability while guiding junior team members.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

Own and evolve Babylist's AWS infrastructure and developer platform using Terraform and Kubernetes. Improve CI/CD reliability, support engineers across environments, define monitoring and alerting standards, lead incident response and postmortems, and shape platform architecture to scale for millions of users.

Design, build, and operate Kubernetes-based compute orchestration and developer tooling. Deliver new compute capabilities, automate operations and observability, integrate AI into workflows, and partner with Security and Reliability to ensure platform scalability, performance, and incident response.

Own reliability, monitoring, and incident response for AI infrastructure; build automation and CI/CD tooling; manage Kubernetes/Docker production workloads; partner with infrastructure, security, and compliance; improve observability and documentation; develop internal full‑stack tooling in Go or Python.