Top Senior Site Reliability Engineer Jobs in Chicago, IL

The Staff Site Reliability Engineer will lead reliability strategies, manage high-risk initiatives, and enhance engineering standards while ensuring system reliability and operational excellence within a hybrid work environment.

Design, implement, and optimize global cloud infrastructure and platforms for an IoT service. Lead platform improvement initiatives, automate infrastructure (IaC/GitOps), ensure observability and security, troubleshoot incidents, mentor SRE team members, and collaborate with executives, architects, and security stakeholders to execute the infrastructure roadmap.

Design, implement, and maintain reliable, scalable cloud infrastructure and deployment pipelines. Monitor and optimize application availability using observability, SLOs, and telemetry. Automate infrastructure/configuration as code, troubleshoot containers and networking, collaborate across teams, and apply enterprise-authorized AI to accelerate incident triage and reliability improvements while ensuring data sensitivity.

Join the SRE team to design, deploy, and operate resilient cloud infrastructure. Recommend solutions, automate workflows, configure Terraform and CI, implement monitoring and alerts, and support developers and users.

As a Senior Site Reliability Engineer, you'll design and build complex systems, support Atlas platform operations, automate processes, and ensure high availability of services.

Lead the SRE function for NinjaTrader’s trading platform, ensuring availability, scalability, performance, and 99.95% uptime. Responsibilities include managing Kubernetes services, resolving production incidents, participating in a 12x7 on-call rotation, automating deployments and operational tasks, designing monitoring and alerting systems, establishing SLIs/SLOs, using Terraform for infrastructure automation, and implementing cloud security and compliance practices. The role also mentors engineers and collaborates cross-functionally on reliable platform delivery.

Design, build, and scale cloud-native infrastructure with automation-first approach. Develop Terraform modules, Helm charts, Istio routing, observability (Prometheus/Grafana/Datadog), maintain GCP databases, improve CI/CD, and use AI agents to automate and operationalize reliability and developer experience.

Independently execute small-to-medium reliability projects, write maintainable code, triage and resolve incidents, remove operational toil, maintain cloud infrastructure, implement observability and SLOs, use enterprise-authorized AI for troubleshooting and post-incident analysis, and collaborate across teams to improve reliability and CI/CD practices.

Own Garner’s cloud reliability strategy across AWS and Kubernetes, including SLOs, observability, incident response, infrastructure automation, cost optimization, and security compliance. Lead complex incident resolution, architect Terraform-based infrastructure, establish deployment and monitoring standards, mentor engineers, and use AI tools to automate operational work. Support high-scale AI/ML workloads while setting technical direction for platform reliability and production quality.

Lead the design and roadmap for global Active Directory and identity infrastructure, implement Identity-as-Code and GitOps automation, own incident escalation and observability, define delegation/tiered administration, integrate applications with Okta and cloud identity, mentor teams, and publish identity architecture and security best practices.

Operate and maintain AWS-hosted MERN applications and large-scale data workflows. Manage serverless and Spark-based pipelines, perform incident response and on-call duties, engineer automation to eliminate operational toil, ensure HIPAA/SOC2/HITRUST compliance, build observability and lead blameless post-mortems.

Design, implement, and maintain reliable, scalable cloud-native platforms using infrastructure-as-code and CI/CD. Build observability, define SLOs/SLIs, troubleshoot incidents, reduce toil, and collaborate with engineering teams to improve availability and performance.

Senior SRE owning availability, automation, and observability for CI/CD platform services. Build and operate infrastructure, run on-call, lead incident response, mentor engineers, drive design/capacity planning, integrate AI-assisted workflows, and improve cross-team reliability.

The Senior Site Reliability Engineer will develop and support distributed storage services, ensuring reliability and operational safety, with a focus on automation and efficiency.

Lead development of AI-assisted reliability tooling, own incident response end-to-end, improve observability and SLO/SLI frameworks, scale single-tenant SaaS operations, mentor engineers, and reduce recurring operational toil through engineering and automation.

Define tastytrade’s SRE practice, including customer-focused SLOs, error budgets, burn-rate alerts, observability standards, and production readiness reviews. Embed reliability patterns in Ruby, Java, and Elixir services running on HashiCorp Nomad. Extend Prometheus, Honeycomb, and OpenTelemetry observability; conduct fault-injection and tabletop exercises; strengthen on-call and incident-review processes; and mentor engineering teams in reliability practices.

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

Design, implement, and maintain scalable AWS infrastructure and CI/CD pipelines using Terraform and Harness. Build observability with Dynatrace/Datadog, troubleshoot production incidents, run blameless postmortems, optimize cost/performance, drive chaos engineering, embed SRE practices (SLAs/SLOs), and mentor 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.

Responsible for ensuring reliability, scalability, and performance of data platforms. Design monitoring and alerting, automate deployments and recovery, optimize storage and query performance, troubleshoot incidents, plan capacity and scaling, document operations, enforce security/compliance, and collaborate with data engineering, product, and data science teams to maintain high availability of large-scale data systems.

This internship role focuses on SRE skills, requiring collaboration and problem-solving in dynamic environments for Zscaler's Zero Trust Exchange team.

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

Leads SRE engineering leaders and engineers while defining enterprise observability, reliability, and platform strategy across GCP, on-premise, manufacturing, distribution, and campus environments. Oversees vendor-agnostic tooling, OpenTelemetry integrations, CI/CD observability, SRE maturity models, and Agentic AI initiatives. Drives adoption of SRE practices, develops technical roadmaps, partners with senior leadership and operational teams, and maintains hands-on architectural and technical credibility.

Lead SRE work partnering with development teams to design and implement availability, scalability, observability, and automation for production systems. Build tooling, manage incident response and RCAs, optimize capacity and performance, mentor engineers, maintain runbooks, and participate in a 24x7 on-call rotation.

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.