Top Senior Site Reliability Engineer Jobs in Chicago, IL

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.

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.

Leads reliability, scalability, performance, and security for large-scale cloud systems. Designs AWS infrastructure with Terraform, automates CI/CD and operational workflows, establishes SLOs, manages incident response and disaster recovery, develops monitoring and observability solutions, and builds internal tools. Partners with engineering teams on architecture and reliability practices, conducts code reviews, mentors SREs, and supports compliance, vulnerability management, and security integration.

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.

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.

Design and implement reliable, scalable IT infrastructure; automate processes; monitor systems; resolve incidents; conduct performance and load testing; optimize cloud environments; maintain storage architecture; and lead continuous improvement. The role requires troubleshooting complex system issues, developing automation solutions, managing incidents, collaborating across teams, mentoring others, and supporting secure business operations across AWS, Google Cloud, and Microsoft Azure.

Lead SRE practices for highly available cloud-native platforms across AWS, Azure, and Kubernetes. Build observability, dashboards, alerting, infrastructure automation, CI/CD, GitOps, and self-healing capabilities. Lead incident response, root cause analysis, and remediation while improving reliability, scalability, and operational excellence. Partner with engineering, architecture, security, and platform teams, drive AI-enabled operations, and mentor engineers on SRE and cloud-native best practices.

Lead Site Reliability Engineer responsible for reliability, availability, observability, incident response, and operational excellence across large-scale public-facing software. The role defines SLOs and error budgets, leads capacity and resilience testing, improves infrastructure using Terraform and Kubernetes on AWS, automates operational workflows, and mentors engineers. Responsibilities also include production readiness reviews, architecture guidance, on-call support, postmortems, and establishing reliability standards across the technology organization.

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, 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.

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.

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.

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.

Leads teams designing and deploying AI-driven enterprise and cloud security solutions. Responsibilities include developing machine learning systems, integrating data infrastructure and pipelines, performing advanced modeling and analysis, and building AI applications with Python, Java, and C++. The role involves client engagement, strategic problem-solving, stakeholder validation, coaching, process innovation, and operational excellence while addressing complex cybersecurity and privacy challenges.

Leads the design and operation of highly available cloud systems, primarily on AWS, using Terraform, GitLab CI/CD, containers, and observability tools. Responsibilities include reliability engineering, incident response, disaster recovery, automation, monitoring, security integration, vulnerability management, and cost optimization. The role builds internal tools, guides architecture, mentors SRE engineers, documents operational processes, and partners with software engineering teams to improve production reliability and compliance.

Own and scale Drivetrain’s multi-cloud AWS and GCP infrastructure, Kubernetes platforms, CI/CD pipelines, Terraform modules, automation, observability, and security practices. Drive reliability engineering through capacity planning, incident response, postmortems, and SLI/SLO/SLA management. Partner with development teams to improve application deployability, scalability, resilience, and operational efficiency across the SaaS platform.

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.

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.

Site Reliability Engineer responsible for maintaining the reliability, availability, scalability, and performance of enterprise automation platforms. Duties include monitoring, incident response, root cause analysis, observability improvements, deployment support, testing, configuration management, release activities, infrastructure automation, and production risk mitigation. The role partners with development and operations teams to improve system stability and operational readiness across automation solutions.

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.

Manage and improve CI/CD pipelines, containerized deployments, AWS infrastructure, Terraform resources, monitoring, and incident response for the SportsRecruits platform. Troubleshoot application, database, and distributed-system performance issues; maintain development and QA environments; collaborate with engineering, QA, product, and security teams; and implement automation, observability, scalability, and AI-assisted monitoring improvements.

Supports system reliability, scalability, and observability through monitoring, logging, metrics, tracing, alerting, infrastructure as code, automation, production support, incident response, and post-incident improvements. The role collaborates with development and operations teams and uses tools including Prometheus, Grafana, ELK, Terraform, AWS, Docker, and Kubernetes.

Design, operate, and support reliable customer platforms across Linux, Kubernetes, and public cloud environments. Responsibilities include OS lifecycle management, infrastructure automation, IaC, configuration management, GitOps, observability, SLOs, capacity planning, incident response, and on-call support. The role requires depth in one data platform area—Elasticsearch/OpenSearch, Redis, or Kafka-Hadoop-Spark—and willingness to learn others. It also involves customer consultation, platform architecture guidance, documentation, knowledge sharing, and reducing operational toil through scripting and automation.

Manage AWS and GCP cloud environments, scale infrastructure globally, shape technical architecture, and build reliable CI/CD pipelines. Automate security and compliance controls, improve infrastructure performance, and develop systems interacting with smart contracts across multiple blockchains. The role requires Terraform, shell scripting, GitHub Actions, Docker, production cloud operations, and observability experience, with Kubernetes, networking, and fintech compliance knowledge preferred.