Top Site Reliability Engineer Jobs

Build and operate highly available, scalable, fault-tolerant production systems and observability platforms. Monitor system health, manage incidents, conduct blameless postmortems, improve testing and release procedures, support system design and capacity planning, and automate reliability improvements. Collaborate with engineering teams to establish service-level objectives and promote resilience engineering practices.

Design, build, and operate highly reliable, secure distributed systems for Azure Data Transfer. Define SLIs/SLOs, reduce toil through automation and IaC, improve observability, lead incident response/on-call, drive progressive delivery and safe rollouts, and ensure compliance with security and audit requirements.

Develop and maintain Kubernetes runtime environments, support developers, resolve critical issues, and participate in on-call rotations for production systems.

Build and maintain CI/CD pipelines, manage and automate cloud infrastructure and configurations, implement monitoring/logging and alerting for reliability, enforce security and compliance practices, and collaborate with development teams to support scaling and operations.

Leads reliability engineering for a cloud-based, real-time healthcare platform. Responsibilities include maintaining 99.99% uptime, designing fault-tolerant and self-healing systems, managing AWS and Kubernetes infrastructure, implementing Terraform and observability tooling, leading incident response and disaster recovery, ensuring HIPAA and SOC 2 compliance, and driving scalability strategy while mentoring the SRE team.

Provide 24/7 technical support for a SaaS AI security platform, monitor uptime, triage and resolve incidents, collaborate with customers and development teams, and drive SRE-focused automation and reliability improvements.

Design, automate, and maintain highly available cloud infrastructure and CI/CD platforms. Troubleshoot and debug Linux systems and networking, automate infrastructure (Terraform/Chef/Ansible/Puppet), and improve scalability, reliability, and platform velocity. Participate in on-call rotation and collaborate across engineering teams.

Own fleet-scale reliability, upgradeability, and operational excellence for an edge platform. Design and operate automated, secure lifecycle systems, observability, and incident response. Lead cross-domain, high-severity incident ownership, set production standards (SLOs/SLIs, change management), mentor engineers, and apply AI to accelerate diagnostics and operational workflows.

Leads site reliability engineering for critical production systems, focusing on operational excellence, automation, performance optimization, scalability, observability, and technical incident response. Builds internal tooling and self-healing systems, manages cloud and Kubernetes-based environments, analyzes monitoring and system metrics, and drives data-backed reliability and capacity decisions while collaborating with technical and executive stakeholders.

Design and implement observability across distributed systems, integrating monitoring tools and building dashboards, alerts, and telemetry frameworks. Automate repetitive operational work through self-healing and auto-remediation solutions. Support production incident triage, troubleshooting, and root cause analysis while improving reliability, performance, scalability, and capacity planning. Collaborate with engineering and support teams to strengthen system stability and operational efficiency.

Lead EarnIn's AI-first reliability engineering, enhancing incident response, automation, and resilience in operations while mentoring engineers.

Build scalable automated solutions for device fleet management, own and optimize MDM platforms, write OS-level scripts for self-healing, gather telemetry to prevent end-user disruption, translate compliance (CMMC) into code-managed baselines, and create dashboards and alerts measuring end-user SLOs.

The Senior Site Reliability Engineer will enhance the Splunk ecosystem and develop an Observability Platform by automating infrastructure and managing complex distributed systems, while optimizing log collection and incident response.

The Site Reliability Engineer designs monitoring frameworks, manages SLIs/SLOs, automates cloud infrastructure, ensures compliance, and promotes SRE best practices.

Leads technical strategy for site reliability, critical incident response, and production resilience across Splunk Cloud. Serves as the escalation authority during P1/P2 events, owns complex enterprise customer environments, guides infrastructure architecture and automation, leads post-mortems and root-cause analysis, improves observability and operational processes, and mentors senior engineers without formal management authority.

Lead reliability, performance, automation, and scalability for a 24/7 AWS-based healthcare platform. Responsibilities include designing fault-tolerant infrastructure, managing Kubernetes and Docker environments, implementing Terraform and GitOps, improving observability, leading incident response and disaster recovery, and ensuring HIPAA and SOC 2 compliance. The role also sets technical strategy, reduces downtime through self-healing automation, and leads and mentors the SRE team.

Support and mature the cybersecurity Site Reliability Engineering capability for critical security platforms. Operate SIEM, XDR, CyberArk, SOAR, NDR, IPS, and related systems; perform monitoring, incident response, problem management, and root cause analysis. Build automation with Python, Ansible, APIs, and infrastructure-as-code. Maintain observability dashboards, define SLIs and SLOs, document runbooks, support production handovers, participate in on-call duties, and conduct disaster recovery and resilience testing.

Design, implement, and maintain scalable AWS infrastructure and CI/CD pipelines using Terraform and Harness. Build observability with Dynatrace/Datadog, troubleshoot production incidents, run blameless postmortems, optimize cost/performance, drive chaos engineering, embed SRE practices (SLAs/SLOs), and mentor junior engineers.

As a Site Reliability Engineer, you'll ensure system reliability and scalability, automate processes, optimize performance, and collaborate on system design.

Own the reliability and performance of backend systems at Gamma, building automation and tooling while leading incident response and improving system stability.

Own reliability for a live fleet of Linux-based edge sensors and cloud infrastructure. Triage and recover field hardware, perform SSH-based diagnostics, build fleet management and OTA systems, implement observability and alerting, automate operational tasks, develop runbooks, and participate in on-call rotations to prevent and resolve incidents.

Support and automate cloud infrastructure (primarily Azure) for insurance applications. Implement IaC, assist deployments, troubleshoot incidents, improve security controls, and maintain monitoring and documentation while collaborating with engineers and non-technical stakeholders.

As a Software Engineer - Infrastructure at Skydio, you'll support and enhance Kubernetes infrastructure, improve continuous delivery, and collaborate on security and architectural improvements.

As a Senior Machine Learning Engineer, you will develop advanced machine learning and deep learning models and platforms for optimizing advertising performance and conduct complex experiments.

Design, operate, and scale cloud-native ML infrastructure across GCP and AWS (GPU/TPU), build CI/CD for models, maintain low-latency real-time inference systems, define observability and monitoring for ML models, participate in on-call incident response, and partner with data scientists to improve MLOps and platform usability.