Top SRE Engineer Jobs in Chicago, IL

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.

Lead reliability engineering for Caterpillar’s eCommerce platforms by monitoring and troubleshooting production systems, supporting 24/7 incident response, automating deployments, maintaining observability dashboards, improving performance and scalability, collaborating with developers, and ensuring security and compliance across infrastructure and applications.

Lead resilience engineering for large-scale cloud infrastructure. Responsibilities include defining architectural vision, automating platform operations, managing incidents and root-cause analysis, governing multi-cloud IaC, establishing SLOs, mentoring SRE teams, and optimizing capacity, costs, and FinOps strategy. The role also drives observability, security governance, distributed systems reliability, and production platform scalability across engineering organizations.

Designs, engineers, and automates highly available cloud infrastructure and platforms for a global IoT service. Responsibilities include evolving PaaS implementations, managing Kubernetes and infrastructure-as-code solutions, monitoring and troubleshooting security and infrastructure events, conducting root-cause analysis, collaborating on architecture and security, and mentoring junior engineers. The role also supports technology roadmaps, cloud cost optimization, and infrastructure initiatives across distributed teams.

Builds, maintains, monitors, and optimizes applications and infrastructure using site reliability engineering practices. Responsibilities include designing deployment and reliability approaches, implementing CI/CD and infrastructure as code, monitoring service-level objectives, resolving complex operational issues, improving availability and scalability, and using validated enterprise AI capabilities for incident triage and reliability analysis. The role also guides peers and promotes SRE best practices.

Build and maintain cloud-native infrastructure, automate manual operations, develop Terraform modules and Helm charts, manage Kubernetes and service mesh configurations, monitor GCP databases and services, improve observability, maintain CI/CD pipelines, and use AI coding agents to enhance infrastructure development. Collaborate with engineering teams on instrumentation, architecture, capacity planning, scalability, reliability, security, and developer experience.

Build and operate reliability systems for a cardiovascular data platform, including monitoring, SLIs, SLOs, incident response, automation, and observability. Investigate end-to-end failures across devices, connectivity, mobile applications, firmware, and cloud services. Analyze fleet-level reliability using Python, SQL, and BigQuery; automate manual checks; conduct postmortems; and improve telemetry to ensure complete, trustworthy clinical data delivery.

Builds, maintains, monitors, and optimizes applications and cloud infrastructure for availability, reliability, and scalability. Designs automated CI/CD and infrastructure-as-code solutions, implements observability and SLOs, troubleshoots incidents and networking issues, and reduces operational toil. The role also guides teammates in SRE best practices, uses authorized AI tools for incident analysis, and collaborates across teams to proactively resolve complex platform and business problems.

Leads the migration of globally distributed Kubernetes workloads from AWS to an internal platform, establishes technical direction, and supports production reliability. Responsibilities include incident response, performance optimization, observability, automation, networking, security, operational readiness, and production-quality Go development for distributed systems. The role partners across infrastructure, security, SRE, product, and application teams while contributing to Kubernetes platform reliability and scalability initiatives.

Internship SRE role responsible for availability, performance, and scalability of an e-commerce supply-chain platform. Tasks include SLO/SLA definition, observability (Prometheus/Grafana/Loki/Tempo/OpenTelemetry), incident response, capacity planning, disaster recovery for PostgreSQL, infrastructure-as-code (Terraform), CI/CD automation, and operational reliability for AI agent services. Mentored by Head of Technology/CTO with potential conversion to full-time based on performance.

Lead the vision, strategy, and organizational growth of Payments SRE across reliability, observability, automation, incident management, performance, capacity planning, and disaster recovery. Manage SRE leaders and engineers supporting high-availability, low-latency payment systems. Partner with executives and engineering and product teams, drive compliance and operational excellence, mentor leaders, build reliability frameworks, and advance AI-enabled operations.

Lead the Site Reliability Engineering organization, managing and developing technical teams while driving reliability, scalability, observability, automation, and operational excellence. Responsibilities include infrastructure automation, vulnerability management, incident response, SLA and SLO analysis, monitoring improvements, post-incident reviews, ITIL processes, vendor coordination, and cross-functional reliability initiatives for large-scale production storage systems.

Monitor and maintain enterprise application and infrastructure performance, availability, and stability. Administer observability tools, manage alerts and scheduled jobs, perform incident triage, coordinate outage communications, troubleshoot Linux and infrastructure issues, maintain monitoring dashboards, document procedures, produce reports, and follow ITIL-based escalation and problem-management practices in a 24/7 environment.

Designs and develops Python-based reliability tools and cloud solutions on AWS using Terraform. Builds automation, observability, CI/CD pipelines, and testing frameworks; defines SRE standards, SLIs, SLOs, and error budgets; participates in incident response, on-call support, root-cause analysis, and postmortems. Collaborates across Agile teams to improve platform reliability, reduce toil, optimize cloud costs, and advance cloud-native engineering practices.

Maintain and improve AWS production infrastructure, infrastructure-as-code, CI/CD pipelines, monitoring, observability, and security controls. Participate in on-call support, troubleshoot incidents, track SLOs and cloud costs, write post-incident reports and runbooks, and collaborate with engineering teams on reliable feature delivery. Support SOC 2 compliance, access controls, encryption, audit logging, vulnerability management, and AI workloads on Amazon Bedrock.

Leads architecture, modernization, optimization, and reliability initiatives for mainframe CICS, MQ, and z/OS Connect environments. Provides technical direction across development and operations teams, establishes governance and change processes, tunes performance using telemetry, resolves incidents, and develops modernization roadmaps. Collaborates with stakeholders and enterprise architects to deliver secure, scalable, high-availability solutions while evaluating automation, cloud integration, and AI technologies.

Own end-to-end client support, troubleshoot production issues, monitor cloud environments, respond to incidents, automate operational tasks, and lead postmortems. Develop and execute manual and automated QA tests, maintain regression suites, integrate testing into CI/CD, and validate AI-powered features. Build documentation, collaborate with engineering and product teams, and improve reliability for regulated-industry clients.

Provide technical direction for GitLab Dedicated, a managed single-tenant SaaS platform. Lead architecture and transformation across resilience, failover, tenant orchestration, change management, automation, and platform integrations. Identify systemic reliability and scalability risks, establish reusable platform patterns, strengthen service ownership, and guide cross-team technical decisions. Mentor senior engineers and advance engineering excellence across the organization.

Architects, deploys, and operates secure, highly available Kubernetes and cloud infrastructure for AI/ML workloads. Builds Terraform-based automation, GitOps workflows, CI/CD pipelines, observability, and security controls across cloud environments. Serves as a customer-facing technical SME, supporting solution architecture, technical scoping, demonstrations, documentation, and client handoffs. Participates in on-call operations, troubleshooting, root-cause analysis, and post-mortems.

Build and operate reliable, scalable cloud applications through automation, infrastructure as code, CI/CD, monitoring, incident response, capacity planning, and SLO management. Collaborate with software engineers on resilient system design, support development environments, improve operational processes, and participate in 24x7 on-call rotation. The role requires expertise with AWS, Kubernetes, Terraform, Docker, networking, and observability, along with mentoring and leadership in SRE practices.

Owns reliability, availability, incident response, and infrastructure for a regulated SaaS platform. Maintains AWS and Azure environments using Terraform, operates Kubernetes production systems, develops automation, improves observability and deployment safety, mentors engineers, and helps establish the company’s reliability practice.

Staff Site Reliability Engineer responsible for setting infrastructure direction and owning availability, stability, scalability, observability, disaster recovery, and cloud costs for a SaaS platform. The role involves multi-cloud architecture, managed Kubernetes, infrastructure automation, GitOps delivery, incident response, business continuity, technical evaluations, platform migrations, and mentoring engineers. This is a fully remote U.S.-based position with an on-call rotation.

Lead the evolution of Azure infrastructure toward Kubernetes-based, microservices-oriented systems. Design reliable and scalable cloud infrastructure, observability, networking, CI/CD pipelines, and Infrastructure-as-Code. Drive incident response, cost optimization, capacity planning, performance improvements, and automation while partnering with engineering and data teams. Document best practices, mentor colleagues, and support platform strategy in a healthcare environment with PHI, access control, and audit requirements.

Provide technical leadership for site reliability engineering, applying software engineering practices to large-scale operations. Design automated, repeatable operational solutions; monitor service objectives, application performance, and business metrics; improve resiliency, efficiency, and cost. Support cloud and on-premise infrastructure, production applications, deployment automation, testing, and vulnerability response. Partner with software development, security, and business teams while promoting Agile practices, change management, training, and operational health.

Principal Site Reliability Engineer responsible for the availability, scalability, durability, and operational reliability of production systems. The role leads observability, incident response, SLO and error-budget practices, automation, infrastructure as code, and long-term service improvements. Responsibilities include designing monitoring and alerting frameworks, supporting Kubernetes and distributed storage environments, improving operational processes, collaborating across engineering and business teams, and mentoring reliability-focused practices. The position requires extensive experience with Linux, cloud infrastructure, containers, scripting, storage systems, and large-scale production environments.