Top Remote Senior Site Reliability Engineer Jobs in Austin, TX

Operate and maintain highly available, secure, containerized SaaS applications across AWS and Azure. Responsibilities include rotating 24x7 on-call coverage, observability, incident and security response, disaster recovery, Terraform infrastructure-as-code, CI/CD automation, cloud integration, performance optimization, and developing AI agents to automate SRE and DevSecOps workflows.

Owns the FedRAMP-authorized AWS GovCloud environment, ensuring reliability, security, compliance, patching, vulnerability remediation, continuous monitoring, deployments, hardening, audits, incident response, and on-call support. The role requires hands-on Kubernetes, AWS, infrastructure-as-code, CI/CD, vulnerability management, automation, and regulated-environment experience, while collaborating with SRE and security teams.

Seeking a Site Reliability Engineer with expertise in networking and distributed systems for building secure multi-cloud infrastructure. Responsibilities include maintaining network architecture and ensuring reliable service-to-service communication, involving a 24/7 on-call rotation.

Work as an SRE embedded with product teams to improve reliability by fixing application code (primarily TypeScript), building observability (Prometheus, Loki, Grafana, Alloy), defining SLIs/SLOs, leading incident response and postmortems, automating toil, and supporting deployments across on‑prem DoD and AWS environments.

Owns production reliability for high-throughput, low-latency systems, including observability, SLOs, incident response, capacity planning, infrastructure as code, progressive delivery, chaos testing, and operational tooling. The role requires hands-on software and infrastructure engineering, production Redis/ElastiCache expertise, cloud infrastructure knowledge, security awareness, mentoring, and participation in on-call operations.

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.

Own reliability, performance, scalability, and operational standards across on-premises, private-cloud, and AWS environments. Build infrastructure-as-code, deployment automation, monitoring, alerting, and observability tooling; define SLOs, SLIs, error budgets, and readiness standards. Lead incident response, root-cause analysis, disaster-recovery readiness, release coordination, and preventive automation. Mentor engineers, coach teams on operational practices, coordinate on-call coverage, and ensure infrastructure meets security and compliance requirements.

Design, automate, and maintain scalable infrastructure and SRE tooling. Manage Kubernetes clusters, CI/CD, monitoring, and incident response. Improve processes, reduce toil via automation, and collaborate with engineering and data teams to support domestic and international workloads.

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.

Own production reliability across cloud environments by defining SLOs, SLIs, error budgets, observability practices, and actionable dashboards. Troubleshoot incidents, perform root cause analysis, manage capacity planning, and improve service performance and availability. Build automation to reduce toil, support release management, maintain runbooks, and collaborate with engineering teams on operational readiness. Manage tools including Datadog, Prometheus, and Grafana while advancing monitoring, logging, metrics, tracing, and reliability practices.

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.

Develop, operate, and scale Proofpoint’s production infrastructure across global data centers and public cloud. Responsibilities include deployment, maintenance, troubleshooting, performance tuning, monitoring, alerting, capacity planning, incident response, infrastructure architecture, automation, and security. The engineer will collaborate with product and engineering teams, investigate complex system and network issues, support product rollouts, and participate in a 24x7 on-call rotation.

Own reliability, availability, performance, and capacity for production SaaS services across Azure, AWS, and a FedRAMP High environment. Build observability, SLOs, monitoring, infrastructure automation, and remediation workflows; lead incident response, postmortems, support escalations, and disaster recovery efforts. Manage Terraform, CI/CD, Kubernetes, WAF, networking, and observability costs while improving on-call operations and collaborating with Security, Product, Support, and Development.

Lead reliability engineering for critical SaaS services by defining SLOs, managing major incidents, improving observability, architecting scalable infrastructure, advancing deployment safety, and mentoring engineers. The role partners with engineering and product leaders to balance feature delivery with system resilience, while driving reliability standards, automation, and recruiting across the SRE organization.

Build and improve Replicant’s AI-native platform, including site reliability, CI/CD, developer tooling, observability, incident management, cloud infrastructure, and autonomous-agent harnesses. Own production infrastructure reliability at scale, reduce operational toil, improve deployment workflows, participate in on-call rotation, and shape platform engineering patterns. The role uses TypeScript/Node.js, Python, Terraform, Kubernetes, Helm, GCP, and modern monitoring tools.

Build and improve Replicant’s AI-native platform infrastructure, including site reliability, CI/CD, developer tooling, observability, incident management, and agent harness systems. Own production infrastructure patterns, deployment workflows, and developer self-service across Kubernetes and cloud environments. Participate in on-call and incident response while improving scalability, availability, and operational efficiency for real-time conversational AI traffic.

Provides frontline support for high-availability cloud systems, monitors infrastructure, manages incidents, coordinates outage bridges, documents technical issues, and develops automation and AI agentic workflows. The role partners with development teams to improve detection and resolution, supports AWS technologies, databases, networks, CI/CD tools, and observability platforms. This is a Monday–Thursday overnight shift within a 24/7 command center and includes some holiday coverage.

The role involves ensuring software reliability and performance, managing incidents, developing infrastructure automation, and mentoring junior engineers within a platform team.

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.

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.

Improve AWS production infrastructure reliability, observability, performance, and operational maturity. Build Terraform infrastructure, enhance CI/CD, automate operational work, manage incident response and on-call operations, lead postmortems, improve application resilience, support capacity planning and database reliability, and collaborate on security hardening and compliance. Mentor engineers and promote reliability practices across the organization.

Own database reliability, scalability, and operational excellence across cloud and on-premises environments. Build automated Kubernetes-based database platforms, infrastructure tooling, failover and backup systems, and self-healing capabilities. Lead observability, performance optimization, capacity planning, incident response, and safe migration practices. Partner with application teams, leverage AI for operational improvements, mentor engineers, influence architecture, and drive technical strategy for highly available database infrastructure.

As a Senior Site Reliability Engineer, you'll design and build complex systems, support Atlas platform operations, automate processes, and ensure high availability of services.

Own and evolve the company-wide SRE strategy, reliability standards, observability practices, incident management, service ownership, SLOs, and on-call operations. Lead cross-functional reliability initiatives, establish dashboards, alerts, runbooks, and escalation paths, improve production readiness and incident response, and operate large-scale distributed systems across AWS and Kubernetes. Participate in a 24/7 on-call rotation and help shape the SRE function.

Manage and optimize a multi-account AWS environment supporting production healthcare applications and analytics platforms. Responsibilities include AWS infrastructure administration, CI/CD and infrastructure automation, observability, incident response, on-call support, disaster recovery validation, HIPAA/HiTrust compliance, IAM and security controls, and support for containerized Java and Python applications. The role also contributes to Kubernetes and EKS modernization initiatives and partners with developers to resolve complex production issues.