Top Reliability Engineer Jobs in Chicago, IL

Advance warehouse automation reliability and performance across AS/RS, packaging, receiving, picking, sortation, and material-flow systems. The role establishes standards, defines control and software behavior, analyzes faults and throughput, improves high-uptime operations, evaluates technical alternatives, and develops AI-enabled troubleshooting tools. Responsibilities also include managing multiple engineering projects, solving complex system issues, and collaborating across hardware, controls, software, process design, analytics, and operations.

Own the reliability, performance, architecture, and lifecycle of heterogeneous database platforms. Design and operate relational, NoSQL, caching, time-series, and warehouse systems; improve provisioning, developer tooling, CI/CD, backups, disaster recovery, security, and performance. Influence architecture and product decisions, lead migrations and upgrades, troubleshoot developer and production environments, and establish platform standards, documentation, and regulatory traceability.

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 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.

The Site Reliability Engineer will ensure the reliability, scalability, and performance of large-scale data platforms. Responsibilities include monitoring and alerting, automation, deployment, backup and disaster recovery, performance optimization, incident response, capacity planning, documentation, security compliance, and cross-functional collaboration. The role requires experience with cloud platforms, distributed data systems, databases, infrastructure automation, Kubernetes, Terraform, CI/CD, programming, and observability tools.

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.

Architects and optimizes high-volume database platforms supporting trading applications. Responsibilities include MySQL schema design, SQL and query optimization, migrations, scalability, reliability, observability, production issue resolution, developer tooling, and database architecture. The role partners with engineering and platform teams, leads technical initiatives, establishes database best practices, mentors engineers, and uses Google Cloud services to improve performance, resilience, and operational efficiency.

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.

The Reliability Engineer develops reliability, availability, and maintainability strategies for defense systems and equipment. Responsibilities include supportability analysis, risk assessment, asset criticality ranking, failure and performance analysis, reliability metrics monitoring, root cause analysis, FMEA, fault-tree analysis, mitigation planning, maintenance optimization, and participation in design reviews. The role supports U.S. Department of Defense customers and requires collaboration with maintenance, operations, and engineering teams.

Analyzes product failures, repair and return data, customer feedback, and service-center information to identify reliability trends and failure modes. The role conducts Pareto analyses, investigates failed samples, supports product trials and launches, drives issue closure, and recommends design and quality improvements. It also provides engineering expertise across the Americas, collaborates with global engineering and quality teams, prepares reliability reports, and investigates product safety issues.

Own the durability, recoverability, performance, and security of a production PostgreSQL/RDS fleet supporting a live trading platform. Lead replication, failover, backup and restore, disaster-recovery drills, data lifecycle management, access control, encryption, and database observability. Investigate engine-level performance issues including WAL contention, replica lag, bloat, and locking. Build infrastructure and AI-assisted operational tooling while documenting runbooks and reliability decisions.

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.

Designs and operates Redwood’s internal engineering platform, including cloud infrastructure, Kubernetes, Terraform, Helm, GitOps, CI/CD, observability, and developer self-service capabilities. The role improves reliability, security, scalability, incident response, operational readiness, and cloud efficiency through automation and cross-functional collaboration with engineering, architecture, security, data, and MLOps teams.

Own and modernize Domino's Tempest scale-testing platform; build repeatable automated validation, sizing guidance, and cloud-scale test automation; partner with platform teams to enable multi-cloud scale testing and improve test reliability and reporting.

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.

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.

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.

Lead incident response and reliability improvements for iManage Cloud. Triage large-scale production issues, build observability and automation, run postmortems, partner with product and engineering, and proactively detect and eliminate systemic problems to improve uptime and customer experience.

Build fault-tolerant, self-healing infrastructure and internal tooling for a brokerage platform. Expand observability using Prometheus, Honeycomb, OpenTelemetry, and Grafana; scale HashiCorp Nomad services through capacity planning and load testing; establish SLOs, error budgets, and alerting; analyze Linux and networking performance; support production on-call operations; and mentor engineers in site reliability practices.

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.