Top Senior Site Reliability Engineer Jobs in Chicago, IL

The Senior Site Reliability Engineer will focus on automating infrastructure, enhancing cloud resilience, supporting deployments, and mentoring teams in reliability best practices, while participating in on-call rotations.

The Senior Staff SRE leads reliability engineering initiatives, drives operational excellence, mentors staff, and influences architecture to enhance system reliability and performance.

As a Site Reliability Engineer, you'll build and manage observability platforms for satellite communications, define SLOs/SLIs, and collaborate on incident response and deployment automation.

Design and maintain developer experience tooling and CI/CD pipelines, manage self-service deployment tools (secrets, rollbacks), partner with cloud teams to troubleshoot production systems, participate in on-call rotation, and write production-grade automation and tests in Go and TypeScript to improve developer velocity and reliability.

Assist with monitoring system performance, uptime, and reliability; support incident response, troubleshooting, and root cause analysis; monitor SRE alerts in Slack and report issues; learn cloud platforms; and collaborate with development and DevOps teams.

Lead SRE efforts for DFIN SaaS: ensure availability, performance, scalability, and automation. Implement monitoring, CI/CD, IaC, container orchestration, AI-enhanced observability, incident response, RCA, and runbook automation while collaborating across engineering teams.

As a Senior Staff Site Reliability Engineer, you will lead the SRE team, advocate best practices, ensure resilience in cloud architecture, and mentor team members.

Design, build, and operate reliable cloud infrastructure and networking (multi-account AWS, VPC, IAM). Implement IaC, CI/CD pipelines, observability (logging/metrics/alerting), automation, and reliability guardrails. Provide production support and incident response, perform root cause analysis, and collaborate with application teams to co-own system design and continuous improvement, using AI-assisted tools where appropriate.

Deploy and operate scalable, highly available cloud systems; improve application and network security, reliability, speed, and capacity; automate cloud deployments; monitor and troubleshoot services to meet SLAs; analyze logs and events; and resolve infrastructure issues across large-scale cloud infrastructure.

Lead architecture and implementation of reliability platforms and SRE practices for a production SaaS. Build self-service reliability tooling, drive AIOps automation, advance observability (monitoring, tracing, profiling), lead incident response and postmortems, mentor engineers, and embed production readiness across teams to achieve 99.99% uptime.

Own and improve production infrastructure reliability, deployments, Infrastructure-as-Code, Kubernetes environments, automation, CI/CD, monitoring, alerting, and observability. Investigate incidents, optimize system performance, maintain documentation and runbooks, and support DNS, WAF, CDN, and caching infrastructure. The role requires strong Linux administration, Bash scripting, networking, Git, and containerization skills, with independent ownership and collaboration across development and operations teams.

Design and implement scalable cloud infrastructure, monitor performance, automate processes, ensure security and compliance, and lead a DevOps team.

The Site Reliability Engineer will ensure reliable cloud operations by applying Python for infrastructure automation, managing OpenStack and Kubernetes, and practicing devsecops in a fast-paced environment.

As a Site Reliability Engineer II, you'll automate tasks, monitor AI workloads, enhance dashboards, support CI/CD processes, and collaborate with engineering teams on complex issues while participating in on-call rotations.

This role involves managing Kubernetes clusters, cloud infrastructure, and CI/CD pipelines. The engineer will enhance system reliability and efficiency while troubleshooting production issues.

Lead reliability practices across teams: embed early in projects, define SLIs/SLOs, build multi-cloud paved roads with Terraform, run on-call, drive org-wide incident maturity and tooling.

The role involves end-to-end ownership of AWS infrastructure, managing Kubernetes platforms, and ensuring system reliability through observability and automation. Responsibilities include incident response and maintaining CI/CD systems.

Build, operate, and scale production Kubernetes infrastructure using GitOps and declarative IaC. Design CI/CD workflows, observability, and secure-by-default systems. Troubleshoot networking/storage, participate in on-call rotations, automate operational workflows, and drive postmortems and reliability improvements.

Build, operate, and scale AWS cloud infrastructure and Kubernetes workloads using Terraform and Helm. Improve observability, define SLIs/SLOs, automate deployments and incident response, support on-call rotation, and implement security and compliance (HIPAA, SOC 2) best practices while partnering with product and engineering teams.

Design, scale, and maintain enterprise observability and alerting across multi-cloud and hybrid systems. Build observability stacks (Prometheus, Grafana, GCP observability), automate infrastructure with Terraform/Ansible, integrate CI/CD for containerized workloads on Kubernetes/GKE/OpenShift, optimize Linux systems, and implement SRE practices (SLIs/SLOs/Error Budgets).

Build and operate production-grade AI infrastructure using Kubernetes, ensuring high availability, reliability, and performance. Develop custom operators and implement automation for efficient operations and monitoring.

Own reliability and security of CI/CD and production services: define SLI/SLOs, lead incident response and postmortems, build observability (Datadog), operate Kubernetes and IaC (Terraform), harden pipelines with SAST/DAST/SCA and policy-as-code, and coach teams on reliability and operational best practices.

Design, build, and maintain highly available cloud-native systems. Improve reliability through automation, CI/CD, Kubernetes, observability, and incident management. Collaborate with developers, security, and product teams to define SLOs, implement self-healing, debug production issues, and ensure secure deployments.

Design, develop, test, and operate scalable infrastructure and services for Akamai Cloud. Implement and manage Infrastructure-as-Code (Terraform and similar tools), CI/CD, and observability. Automate reliability improvements, mentor engineers, collaborate on incident response and root-cause remediation, and participate in on-call rotations.

Build and operate Nebius's network infrastructure: define SLIs/SLOs, improve site and inter-site reliability, lead incident response and postmortems, develop observability and alerting, automate change workflows, and collaborate with network and platform teams to embed operability.