Top Remote Senior Site Reliability Engineer Jobs in Chicago, IL

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

Owns reliability, observability, and incident response for a GPUaaS platform. Defines SLOs, builds monitoring and alerting systems, leads major incidents and post-incident reviews, automates operational processes, maintains runbooks, manages on-call operations, coordinates with engineering teams, drives chaos testing, reports SLA performance, and mentors junior engineers.

Ensure stability and resilience of Runpod's distributed AI platform by defining SLIs/SLOs, leading incident response, building observability and reliability tooling, automating operational workflows, and partnering with engineering teams to reduce toil and improve production readiness.

Lead infrastructure modernization and platform reliability across multiple cloud providers. Design infrastructure as code, operate Kubernetes and Linux environments, improve CI/CD and deployment tooling, establish SLI/SLO practices, strengthen observability, lead incident response, manage cloud costs, and partner on security and compliance. Provide technical leadership through architecture guidance, mentorship, engineering standards, and roadmap development while participating in on-call support.

Design, build, and operate cloud infrastructure and SRE capabilities for an enterprise AI platform. Responsibilities include infrastructure-as-code, landing zones, networking, Kubernetes, CI/CD, observability, incident response, SLOs, production readiness, automation, cost optimization, and support for hybrid, edge, air-gapped, and customer-controlled environments. The role is remote, client-facing, and requires strong collaboration and reliability ownership.

Design, build, and operate scalable infrastructure and CI/CD/IaC systems. Implement observability (monitoring, logging, alerting), automate reliability improvements, mentor engineers, collaborate on incident response, and participate in on-call rotations to maintain Akamai Cloud services.

The Site Reliability Engineer II ensures the reliability, availability, performance, and security of critical cloud systems and services. Responsibilities include developing automation for provisioning and configuration management, maintaining monitoring and alerting, optimizing infrastructure performance, supporting high availability, and enabling continuous integration and delivery. The role collaborates with security teams and drives operational improvements across cloud and network infrastructure.

Own reliability for Kong’s Volcano internal developer platform by defining SLOs, incident practices, and observability. Design multi-region Kubernetes infrastructure, GitOps deployment automation, preview environments, managed PostgreSQL, Redis, and object storage. Lead reliability and compliance initiatives with engineering, security, and OCTO leadership while evaluating emerging edge, serverless, vector database, and AI infrastructure technologies.

Build and maintain reliable, scalable cloud compute platforms across distributed services. Troubleshoot Linux, networking, and production issues; develop automation and AI-assisted tooling; improve monitoring, alerting, SLIs, and SLOs; conduct incident response and root cause analysis; and partner with engineering teams on system design, deployment safety, and operational readiness.

Designs, deploys, and maintains resilient AWS and Kubernetes infrastructure. Builds automation, GitHub Actions components, internal AI-assisted operational tools, and observability systems. Leads incident response, postmortems, and SLO/SLI management while ensuring HIPAA compliance and high availability. Collaborates across teams on architecture reviews, risk reduction, clinical safety, and reliability best practices.

Lead site reliability engineering for Akamai’s compute infrastructure and services. Develop automation, define reliability requirements and standards, establish SLOs and KPIs, troubleshoot complex distributed-system and hardware issues, manage incidents and postmortems, and participate in on-call rotations. Coordinate engineering teams, support strategic initiatives, mentor engineers, and guide restoration of service-impacting issues.

Build and maintain scalable infrastructure platforms supporting domestic and international workloads. Develop CI/CD, declarative lifecycle management, Kubernetes clusters, monitoring, and automation systems. Troubleshoot infrastructure issues, respond to alerts, minimize downtime, streamline delivery pipelines and database changes, and help guide SRE team direction. Collaborate with engineers, data scientists, and technology professionals while promoting a high-performance, cross-functional culture.

Operate and maintain highly available, secure, containerized SaaS applications across AWS and Azure. Responsibilities include rotating 24x7 on-call coverage, observability, incident and security response, disaster recovery, Terraform infrastructure-as-code, CI/CD automation, cloud integration, performance optimization, and developing AI agents to automate SRE and DevSecOps workflows.

The Senior Site Reliability Engineer will lead security design and implementation for cloud infrastructures, mentor teams, and automate security solutions.

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.

Owns the FedRAMP-authorized AWS GovCloud environment, ensuring reliability, security, compliance, patching, vulnerability remediation, continuous monitoring, deployments, hardening, audits, incident response, and on-call support. The role requires hands-on Kubernetes, AWS, infrastructure-as-code, CI/CD, vulnerability management, automation, and regulated-environment experience, while collaborating with SRE and security teams.

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.

Support reliable deployment and daily operations across AWS accounts, Linux workloads, AWS data services, networking, and Snowflake connectivity. Investigate infrastructure incidents, deployment failures, outages, and access issues. Improve automation, configuration management, monitoring, alerting, CI/CD, infrastructure-as-code practices, deployment consistency, and operational documentation. Collaborate with application engineering, data engineering, security, and other stakeholders to maintain secure, available, and dependable 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.

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.

Design and maintain reliable, scalable infrastructure for Replit’s global platform. Responsibilities include building observability and alerting systems, automating infrastructure with infrastructure-as-code, managing CI/CD pipelines, defining SLOs and SLIs, leading incident response and postmortems, maintaining runbooks, optimizing performance, and improving capacity, availability, and recovery times.

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.

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.

Own production reliability across cloud environments by defining SLOs, SLIs, error budgets, observability practices, and actionable dashboards. Troubleshoot incidents, perform root cause analysis, manage capacity planning, and improve service performance and availability. Build automation to reduce toil, support release management, maintain runbooks, and collaborate with engineering teams on operational readiness. Manage tools including Datadog, Prometheus, and Grafana while advancing monitoring, logging, metrics, tracing, and reliability practices.