Top Remote Site Reliability Engineer Jobs

As a Site Reliability / Gitops Engineer, you will automate operations, develop Infrastructure as Code, maintain core services, and collaborate on service architecture.

Own and operate scalable infrastructure on GCP (GKE, Cloud Run, AlloyDB); author Terraform modules; manage containerized workloads; build observability in Datadog; design CI/CD in GitHub Actions; automate operational workflows; lead incident response and post-mortems; partner with engineers to improve reliability, cost, and automation.

The Senior Site Reliability / Gitops Engineer will drive automation and collaboration within the IS team, enhancing Canonical's IT operations and services while managing infrastructure as code and cloud technologies.

Lead reliability and observability for the financial data platform: define SLOs/SLIs, build metrics pipelines, extend instrumentation across Velocity, Redpanda, MuleSoft, Snowflake, Fabric, and AWS; implement incident management (Datadog -> Incident.io -> ServiceNow), scale automation and remediation, and design AI-assisted SRE agents using Cursor for triage and root-cause analysis.

The Senior Site Reliability Engineer is responsible for maintaining Wikimedia's infrastructure, improving reliability, automating processes, and collaborating with teams. The role involves troubleshooting, managing deployments, and leading incident responses while working remotely.

Design, build, and scale Kubernetes-based, multi-tenant infrastructure and CI/CD systems. Own AI tooling infrastructure (MCP servers) and secure AI access patterns. Optimize CI/CD, streaming analytics (Kafka, Flink, ClickHouse), observability, and incident response. Implement IaC (Terraform, Helm, Pulumi), GitOps (Argo CD), progressive delivery, automated testing, and mentor engineering teams.

The Senior SRE will manage multi-cloud infrastructure, ensuring reliability and scalability. Responsibilities include building CI/CD pipelines, defining SLOs, and implementing automation.

Support and improve production SaaS infrastructure across AWS, colocation, and hosted platforms. Administer Windows and Linux systems, virtualization, storage, networking, and database support. Lead incident troubleshooting, root cause analysis, monitoring improvements, vulnerability remediation, automation initiatives, and medium-sized infrastructure projects. Collaborate on compliance (SOX/PCI/HIPAA), disaster recovery, and documentation to increase operational reliability.

Lead reliability, observability, and resilience for cloud-based financial SaaS. Define SLOs/SLIs, design monitoring/tracing, own incident response and runbooks, build IaC and automation, implement AIOps, perform chaos and load testing, and write production-grade Python tooling while ensuring security and compliance.

You will manage AWS infrastructure, automate deployments, debug application issues, and improve the operational health of Metabase Cloud.

Lead the migration from legacy Azure services to a Kubernetes-based, containerized microservices platform. Design, build, and scale infrastructure, implement observability (monitoring/alerting/logging), drive incident response and SLOs, automate with IaC and CI/CD, optimize cost and networking, mentor teams, and document systems to ensure reliable, scalable healthcare platform operations.

Lead AWS-based SRE activities for products migrated from on-prem: ensure reliability, observability, automation, CI/CD (GitOps), Kubernetes/EKS operations, Terraform IAC, database/RDS administration, networking and security, and collaborate with development and platform teams to optimize SaaS operations.

Operate and improve brokerage platform reliability: on-call incident response, define SLIs/SLOs, enhance observability, deploy infrastructure via GitOps, and own PostgreSQL performance, migrations, HA/DR, and mentoring.

Build and run Gov/Sovereign cloud SRE for Veeam Data Cloud: document platform, define SLIs/SLOs, run incident response, close observability gaps, design resilient Azure infrastructure, automate IaC/CI/CD pipelines, support on-call, and collaborate with security/compliance teams to operationalize reliability.

Lead reliability and performance efforts for distributed metadata systems: tune and optimize systems, develop monitoring and automation, manage rollouts, troubleshoot incidents, run simulations and analytics, and support database/configuration management to improve global network stability and capacity.

Lead reliability, scalability, and observability for high-density AI hardware infrastructure. Build Python automation and IaC, design telemetry and Prometheus/Grafana dashboards, implement AI-assisted tooling and anomaly detection, manage 24x7 on-call incident response, and coordinate vendor field operations to ensure uptime.

Design, implement, and operate observability and reliability for cloud platforms. Measure and monitor production systems, reduce toil via automation, drive incident response and on-call practices, and partner with product and platform teams to improve scalability, resiliency, and observability.

Operate and scale Lambda's multi-tenant cloud networking and SDN infrastructure; run Kubernetes control plane and SmartNIC dataplane software; build automation, CI/CD and GitOps workflows; deploy monitoring and observability; collaborate across teams, drive incident response and on-call rotation, capacity planning, and postmortems to improve reliability.

As a Software Engineer in Reliability, you'll architect and manage multi-cloud GPU infrastructure, ensuring performance, security, and scale while debugging complex hardware/software issues.

Operate and scale a multi-tenant cloud networking platform and SDN infrastructure, manage Kubernetes control plane and SmartNIC dataplane software, build automation and CI/CD/GitOps workflows, deploy observability and monitoring, participate in on-call incident response, and collaborate across software, platform, and networking teams to improve reliability and deployments.

Senior SRE responsible for designing and modernizing CI/CD and deployment systems, automating AWS Serverless infrastructure, improving observability and incident response, enforcing release and security practices, and guiding engineering teams to scale resilient global services.

As a Site Reliability Engineer, you'll build and maintain infrastructure for ML models, automate processes, and collaborate cross-functionally.