Top Site Reliability Engineer Jobs

Build, maintain, and operate Ookla’s globally distributed infrastructure platform at massive scale. Responsibilities include managing cloud instances, containers, serverless applications, databases, streaming systems, and big-data tooling; supporting 24/7 production operations and on-call rotations; implementing security programs; improving deployment pipelines, monitoring, observability, and reliability; and guiding software and data engineering teams on operational best practices and troubleshooting.

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.

Build and lead a centralized observability platform for satellite, ground-station, and distributed network systems. Responsibilities include scaling metrics, logging, and tracing infrastructure; defining SLOs, SLIs, and error budgets; enabling application instrumentation; automating deployments with Terraform and ArgoCD; monitoring Kubernetes, GCP, and AWS environments; and developing incident response, alerting, and reliability practices. The role includes on-call responsibilities and requires an active Top Secret/SCI clearance.

Own platform reliability, security, automation, uptime, and incident response for payment-processing systems. Build and evolve AWS infrastructure with Terraform, manage infrastructure as code across cloud and physical environments, containerize legacy services, administer Linux servers, and embed PCI DSS compliance through patching, vulnerability management, logging, and monitoring. Provide technical leadership and support secure infrastructure for analytics and BI systems.

Build and optimize high-performance LLM inference systems across data centers and edge devices. Develop inference engines, accelerate models on GPUs and AI hardware, design Kubernetes-based autoscaling architectures, and implement observability, load testing, and reliability frameworks. Improve latency, throughput, cost efficiency, and scalability across real-time and batch AI workloads while collaborating with hardware and cross-functional engineering teams.

Leads reliability improvements for steel-producing equipment and facilities, reducing downtime through predictive and preventive maintenance programs. Uses Maximo and equipment databases, analyzes failure data, and supports criticality assessments, spare-parts analysis, root cause analysis, and FMEA. Provides troubleshooting and reliability expertise, collaborates on new and modified installations, updates engineering standards, and develops best practices through periodic travel to other company sites.

Enhance production-system stability, performance, scalability, and reliability through observability, automation, Kubernetes operations, and AWS infrastructure management. Define and monitor SLIs, SLOs, and SLAs; manage incidents, on-call response, troubleshooting, root-cause analysis, and post-incident remediation. Improve CI/CD production readiness, secrets management, and application resilience while documenting runbooks and operational procedures.

Design, build, and scale control- and data-plane infrastructure for distributed AI workloads. Improve reliability, performance, scheduling, and observability for Ray clusters across cloud and on-prem environments. Support accelerator integration, container image management, and provide on-call troubleshooting and cross-team collaboration.

Designs, implements, tests, deploys, and maintains automation infrastructure for configuration management and service deployment. Builds self-service platforms for application developers, improves operational efficiency, administers source control and build tools, and responds to production incidents. The role involves reliability engineering, cloud networking, CI/CD, system maintenance, incident remediation, collaboration, and an infrequent on-call rotation while supporting U.S. Federal Government contracts.

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.

The Staff Site Reliability Engineer will manage large-scale cloud production systems, ensuring reliability and performance, while automating processes and responding to incidents.

Drive reliability, autoscaling, and cost efficiency for cloud-based data and machine learning platforms. Manage Google Cloud services with Infrastructure as Code, optimize Kubernetes workloads, operationalize machine learning and Retrieval-Augmented Generation systems, and build CI automation, failovers, schema migrations, observability, and incident-response processes using Python and Bash.

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

Build and maintain scalable infrastructure for real-time analytics and machine learning workloads. Improve reliability through automation, observability, capacity planning, CI/CD, monitoring, incident response, and infrastructure as code. The role partners with engineering and data science teams, manages cloud infrastructure security and compliance, leads post-incident analysis, and supports operational readiness. This is an onsite position in Dunwoody, Georgia.

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.

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.

Lead a team of Site Reliability Engineers to design, automate, and operate scalable, secure AWS infrastructure. Drive SRE practices, observability (DataDog), CI/CD (Jenkins), IaC (Terraform/Ansible), Kubernetes orchestration, cost and performance optimization, and cross-functional collaboration.

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

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.

Build and evolve reliability practices for a serverless AWS banking platform. Define SLIs, SLOs, and error budgets; design observability; establish incident response and on-call processes; automate detection and remediation; improve GitHub Actions CI/CD; support resilient architecture, progressive delivery, disaster recovery, operational readiness, compliance, and team mentoring.

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, 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.

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.