Top SRE Engineer Jobs in Austin, TX

Supports system reliability, scalability, and observability through monitoring, logging, metrics, tracing, alerting, infrastructure as code, automation, production support, incident response, and post-incident improvements. The role collaborates with development and operations teams and uses tools including Prometheus, Grafana, ELK, Terraform, AWS, Docker, and Kubernetes.

Own reliability, scalability, security, observability, and incident response for production applications across AWS and on-premises DoD environments. Build monitoring and alerting, define SLIs and SLOs, lead post-incident reviews, automate infrastructure with Terraform and Ansible, operate Kubernetes clusters, embed RMF and STIG controls, reduce operational toil, and support secure air-gapped deployments.

Manage AWS and GCP cloud environments, scale infrastructure globally, shape technical architecture, and build reliable CI/CD pipelines. Automate security and compliance controls, improve infrastructure performance, and develop systems interacting with smart contracts across multiple blockchains. The role requires Terraform, shell scripting, GitHub Actions, Docker, production cloud operations, and observability experience, with Kubernetes, networking, and fintech compliance knowledge preferred.

Found and establish GM Vehicle Autonomy’s centralized SRE practice. Build shared reliability tooling, service catalogs, SLOs, error budgets, readiness automation, standards, and production infrastructure. Partner with service owners to assess criticality, dependencies, failure modes, and operational health. Improve incident response, post-incident practices, on-call sustainability, and toil reduction while driving adoption across infrastructure teams. The role requires strong software engineering and distributed-systems expertise across Linux, networking, Kubernetes, cloud, CI/CD, and observability.

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.

Build and operate software automation for large-scale NVIDIA GPU infrastructure. Responsibilities include bare-metal provisioning, hardware validation, firmware upgrades, repair workflows, cluster lifecycle management, BMC and Redfish tooling, and NVIDIA NVL72 and BlueField DPU operations. Diagnose failures across hardware, Linux, networking, and Kubernetes; support incident response, on-call operations, observability, root-cause analysis, and permanent remediation across cloud and on-premises environments.

Own the operational health, observability, reliability, and failover of AI model providers and endpoints. Build SLO monitoring, canaries, quality regression detection, automated provider-operations tooling, and load-testing systems. Lead incident response, communicate with external providers, produce reliability scorecards, and drive postmortems and corrective actions. Support capacity planning and launch readiness for high-volume LLM inference traffic.

Design and improve observability (monitoring, logging, tracing, SLIs/SLOs), build automation and CI/CD, lead incident response and reliability improvements, mentor SREs, run on-call, and apply AI/ML to operational signals to forecast and reduce risks.

Own the reliability, availability, security, and observability of Tradeweb’s global AWS platform. Responsibilities include infrastructure-as-code automation, monitoring, SLO development, incident triage and resolution, performance analysis, architecture collaboration, and regular on-call support. The role requires cloud-native engineering, scripting, networking, Linux/Unix, security, and reliability expertise while contributing to an Agile engineering organization.

Owns production reliability for a B2B SaaS platform, including SLOs, error budgets, observability, alerting, incident response, recovery exercises, performance and capacity engineering, load testing, disaster recovery, and production readiness. The role writes automation and production code, leads incidents, coaches engineering teams, and improves reliability across Kubernetes, Azure, databases, messaging, and service infrastructure.

Performs site reliability engineering for large-scale cloud infrastructure, focusing on application and network performance, reliability, security, scalability, and capacity. Deploys highly available systems, automates cloud service deployments, monitors and troubleshoots services, analyzes logs and events, maintains SLAs, and resolves infrastructure issues. The role requires expertise in microservices, container orchestration, cloud migration, deployment automation, and multiple DevOps technologies.

Analyzes and resolves availability and performance issues in large-scale production and lab environments. Develops automation, monitoring, alerting, log analysis, debugging tools, and systems programming solutions. Collaborates with software development and engineering teams on CI/CD, platform architecture, incident resolution, and operational best practices within an agile SDLC.

Lead reliability and observability efforts across the org: design and maintain Kubernetes and AWS infrastructure, build CI/CD pipelines, drive IaC standards (Terraform/Crossplane), partner with 16+ teams to roll out tools and processes, participate in on-call rotation and incident response, and use AI tools to accelerate work.

Develop and operate Akamai’s Linux-based cloud infrastructure, including bare-metal and virtual machine platforms, kernels, operating systems, and KVM/QEMU virtualization. Build software, automation, observability, and infrastructure enhancements at scale; troubleshoot complex distributed-system issues; collaborate across engineering and operations; mentor team members; and participate in on-call service restoration.

Own production reliability and infrastructure operations for the GrayKey cloud platform. Responsibilities include AWS monitoring, incident response, vulnerability remediation, networking, IAM and Okta administration, EKS and Argo CD operations, backups, recovery testing, Terraform changes, cost optimization, automation, documentation, and compliance support. The role requires independent work during Pacific and Mountain time-zone hours and involves less than 5% travel.

Lead reliability, scalability, and operational excellence of large-scale database platforms across cloud and on-prem. Build automation-first database infrastructure (Kubernetes operators, IaC, GitOps), drive monitoring/SLOs, incident leadership, performance and cost optimization, and partner with application teams on safe schema/migration practices. Mentor engineers and evaluate AI-assisted workflows to improve productivity and reliability.

Lead platform infrastructure reliability initiatives for a microservices-based cloud SaaS solution. Design scalable, automated, observable infrastructure; define platform roadmaps; guide engineering teams through design reviews; reduce operational toil; build monitoring and alerting; and participate in on-call incident response. The role uses AWS, Kubernetes on EKS, Istio, infrastructure-as-code, GitLab, Argo CD, and Datadog.

Build and operate reliable, scalable production infrastructure for GitLab’s user-facing services. Responsibilities include developing infrastructure automation and tooling, managing Kubernetes deployments, maintaining infrastructure as code, supporting CI/CD and GitOps, participating in on-call and incident response, improving observability and SLOs, troubleshooting production systems, and documenting operational practices. The role spans Intermediate through Senior Staff levels and requires strong software engineering, cloud, reliability, and asynchronous collaboration skills.

Design, implement, and operate infrastructure for high-scale production systems serving millions of users. Own reliability, observability, incident response, deployments, capacity planning, cost management, and operational excellence across bare-metal and cloud environments. Develop automation and performance tooling, improve production readiness, manage vendors, lead incident reviews, and mentor engineers on reliability and distributed-systems practices.

Define and enforce governance and standards across AWS, Azure, GCP, OCI, and Snowflake platforms. Design and implement cloud platform features, infrastructure as code, automation, monitoring, and reliability improvements. Support application engineering teams with infrastructure design, troubleshooting, security, performance, cost efficiency, backup, and disaster recovery. Configure and automate Windows and Linux systems, servers, storage, networking, Active Directory, Group Policy, and Remote Desktop Services.

The Site Reliability Engineer will operate and improve critical, high-traffic systems across AWS and Azure. Responsibilities include infrastructure-as-code, automation, incident response, root-cause analysis, monitoring, alerting, disaster recovery, capacity planning, performance tuning, high availability, cloud security, CI/CD, and multi-cloud networking. The role also involves mentoring, documentation, regular DR testing, and on-call participation.

Build and operate AWS GovCloud environments within FedRAMP boundaries, including multi-account infrastructure, guardrails, logging, security tooling, and Terraform provisioning. Develop automated fleet release, patching, verification, CI/CD, compliance evidence, telemetry, SLO, and alerting systems. Support VM and appliance fleets at scale, participate in on-call, and engineer recurring incident causes away. The role also requires compliance-as-code, continuous monitoring, and test harnesses validating operational state.

Ensure reliability, scalability, and usability of network infrastructure for Akamai Connected Cloud. Define requirements and SLOs, build automation and CI/CD pipelines, collaborate with dev/QA to improve code and stability, troubleshoot complex network issues (on-call), and mentor teammates while driving architectural standards.

Lead end-to-end deployment and operation of cloud infrastructure and Symmetri environments for US customers. Provision, configure, monitor, maintain, upgrade, and troubleshoot cloud, single-tenant, on-premises, and air-gapped environments. Manage Kubernetes, networking, IAM, infrastructure as code, resource planning, incident response, runbooks, and root-cause analysis. Represent the company in customer security reviews and help establish US deployment and operations standards and teams.

Designs and develops Python-based AWS cloud solutions, reliability tools, automation, observability, and Terraform infrastructure. Builds CI/CD pipelines, defines SRE standards and SLOs, supports incident management, and improves platform reliability through monitoring, postmortems, testing, and proactive toil reduction. Collaborates with cross-functional Agile teams to deliver scalable cloud automation across the Federal Reserve System.