Top Remote Reliability Engineer Jobs in Chicago, IL

Lead global SRE team to design, implement, and operate scalable, highly available cloud infrastructure. Drive observability, automation (IaC/CI-CD), cost optimization (FinOps), security hygiene, and post-incident improvements while remaining hands-on and exploring AI tooling for reliability.

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.

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.

Lead design, development, deployment, and scaling of cloud infrastructure and SRE tooling. Build automation, CI/CD, observability, capacity planning, and reliability improvements; collaborate with product teams to define non-functional requirements and resolve production issues.

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.

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.

Own and improve platform reliability, availability, and performance for Filevines systems. Build AWS infrastructure with Terraform, develop CI/CD pipelines, monitoring, and automation, define SLOs/SLIs/error budgets, lead incident response, mentor engineers, and participate in a 24/7 on-call rotation to support highly available, low-latency production systems.

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.

Lead development and implementation of preventive and predictive maintenance for onshore mechanical equipment, use CMMS to plan and monitor maintenance, analyze reliability data, perform RCA, support operations and maintenance teams, ensure safety and compliance, and recommend improvements to reduce downtime and costs.

Lead development and implementation of preventive and predictive maintenance programs for offshore mechanical equipment, use CMMS to plan and track work, perform RCA for failures, support offshore teams in troubleshooting, monitor equipment reliability, and ensure compliance with safety and maintenance standards.

Lead the creation of SRE practices across six product teams: define SLOs/SLIs, implement observability, reduce outages, automate toil with IaC and tooling, run production readiness reviews, and train teams to improve incident detection and reliability.

Join as the company's first SRE to design reliability processes, build observability/CI/CD/IaC tooling, define SLOs, embed with product teams, run incident response, and support compliance for patient data.

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.

Lead qualification, performance validation, and production readiness for new Azure Storage hardware and firmware. Drive test planning, automation frameworks, large-scale telemetry and benchmark analysis, root-cause investigations across software/hardware/firmware, and partner with engineering and vendors to resolve reliability and performance issues.

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.

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.

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.

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.

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.

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

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.