Top Remote Site Reliability Engineer Jobs

Lead SRE to define strategy and roadmap for reliability, scalability, observability, and automation across cloud and hybrid environments. Design and operate containerized production workloads, infrastructure-as-code, monitoring/alerting, incident management, and compliance for regulated domains. Mentor SREs, partner with security and product teams, manage cloud costs and capacity, and build a developer platform to improve delivery and production stability.

Manage and support large-scale compute, virtualization, and multi-cloud infrastructure; operate and optimize a monitoring platform (Splunk); automate and script infrastructure tasks (Python, Ansible, Terraform); perform sys-admin duties, patching, security configuration, and compliance reporting; produce design and implementation artifacts and lead incident response and remediation.

Support and optimize large-scale compute, virtualization, and multi-cloud environments. Administer and automate monitoring platforms (Splunk, ServiceNow), write SPL, perform Linux sysadmin tasks, automate with Python/Ansible/Terraform, design and review HLD/LLD and change plans, troubleshoot outages, and provide security/compliance reporting.

Lead observability and incident management efforts: define SLIs/SLOs, build monitoring/alerting, dashboards, logging, and tracing. Drive incident response, postmortems, and reliability improvements to reduce MTTD/MTTR. Integrate observability into CI/CD, maintain AWS and Kubernetes infrastructure, automate operations, and mentor engineers on SRE best practices.

Senior technical leader for SRE driving observability, platform infrastructure, SLIs/SLOs, incident response, automation, and self-service platform capabilities. Shapes reliability strategy, mentors engineers, and ensures production-scale operational excellence.

Maintain and optimize mission-critical bare-metal infrastructure, build automation for web2/web3 deployments, perform R&D and monitoring for blockchain validator/RPC/operator nodes, ensure SLIs/SLOs, and participate in on-call rotation.

Operate and improve the Pod platform: respond to incidents, investigate root causes, build automation and observability, design monitoring/alerting, reduce alert fatigue, and drive reliability improvements across production systems.

As a Senior Site Reliability Engineer, you will enhance platform reliability, lead incident management, and drive AI-driven improvements in operational workflows.

The Senior Site Reliability Engineer will enhance reliability of Block's platform, improve incident response using AI tools, and coordinate incident management. Responsibilities include building reliable systems, standardizing tools, and leading high-severity incidents during on-call rotations.

Lead and mentor SRE teams; partner with engineering, operations and product; apply statistical analysis and networking expertise to diagnose performance and reliability issues; define and implement data feeds; influence technical decisions and investments; build tooling to automate analytical workflows and increase platform reliability.

Design, build, and maintain scalable, highly available cloud infrastructure for an AI-native cybersecurity platform. Automate deployments and incident response, optimize performance for AI workloads, manage IaC across cloud environments, lead incident management and post-mortems, and collaborate with engineering and security teams to embed reliability.

Support and optimize products migrated to AWS, implement cloud best practices, maintain operational coverage, enhance automation, observability, CI/CD/GitOps, and security. Collaborate with development and platform teams to scale, troubleshoot, and ensure reliable SaaS operations.

Maintain and improve reliability of cloud-based enterprise systems by implementing SRE practices. Participate in design and code reviews, incident management, automation (IaC/CI-CD), monitoring, documentation, and collaboration with cross-functional teams to reduce downtime and improve scalability and security.

Operate, scale, and improve a cloud-native platform on AWS and Kubernetes. Manage GitOps deployments with ArgoCD and Helm, provision infra with Terraform/Terragrunt, build CI/CD automation, enhance observability, respond to incidents, reduce operational toil through scripting, and collaborate with security and application teams to improve reliability and platform guardrails.

The Blockchain Site Reliability Engineer is responsible for maintaining blockchain nodes' reliability, monitoring, incident response, and building automation tools to enhance operations.

Operate and scale production AI inference infrastructure, run releases and capacity changes, build self-service CD pipelines and automation, extend telemetry and observability, collaborate on SLOs, post-mortems, and capacity planning to reduce operational toil.

Design, operate, and improve large-scale Microsoft 365 and Purview services. Automate operational processes, build telemetry and monitoring pipelines, develop scripts/code, troubleshoot and optimize systems, participate in on-call incident response, and collaborate with engineering teams to improve availability, performance, security, and customer experience.

Design, deploy, and operate large-scale, multi-region cloud-native services to improve reliability, performance, and security. Partner with application teams to build automation, run SLO-driven incident response and on-call rotations, leverage Kubernetes and CNCF tooling, and implement scalable operations, chaos and scale testing, and infrastructure-as-code for a resilient SaaS platform.

Join Arista Networks as a Site Reliability Engineer to manage CloudVision service reliability, scalability, and stability in a FedRAMP environment, focusing on areas like architecture, security, and performance optimization.

The Site Reliability Engineer will develop, deploy, and operate AI infrastructure, focusing on high-performance and scalable machine learning systems using Kubernetes and cloud platforms.

Operate and harden Blitzy's self-hosted, Kubernetes-based AI platform inside customer-controlled secure cloud environments. Own deployments, upgrades, capacity planning, observability, incident response, and customer-facing technical coordination while championing security and feeding operational learnings back into the product roadmap.

Lead architecture and delivery of highly available, resilient cloud and on‑prem systems for the Password Safe platform. Own platform engineering, CI/CD pipelines, IaC/GitOps, release orchestration, observability (metrics/logs/traces), chaos engineering, SLO/SLI definition, and core services. Mentor engineers, define SRE strategy, and drive reliability, security, and automation improvements.

The Forward Deployed Site Reliability Engineer ensures the reliability of a mission-critical platform, manages incident response, defines SLIs and SLOs, and liaises between engineering and government customers.

The Deployment Engineer will build and operate AI inference clusters, ensure scalable deployments, optimize allocation, and maintain infrastructure. Responsibilities include software updates, telemetry development, and collaborative improvements with teams.

Build and operate the Veeam Data Cloud GOV environment: map systems, write runbooks, define SLIs/SLOs, run incident response, close observability gaps, automate deployments and support fleet management while working across security and compliance constraints.