Top Reliability Engineer Jobs in Chicago, IL

The role involves ensuring software reliability and performance, managing incidents, developing infrastructure automation, and mentoring junior engineers within a platform team.

Lead the development of AI-driven software solutions to improve customer experience by addressing issues, monitoring performance, automating resolutions, and mentoring team members in a full stack development environment.

Provide hands-on component reliability support for ECUs: select components, review BoMs against life requirements, coordinate vendors for data/tests, maintain risk lists, collect and format vendor test data, and drive root-cause coordination to close action items.

Lead automation and optimization of Filevine's data platform: performance tune MSSQL/Postgres, optimize Snowflake, provision infrastructure with Terraform/AWS, run stateful containers on Kubernetes, integrate AI/LLM and MCP for operational automation, manage CI/CD, capacity planning, documentation, and serve in 24/7 on-call rotation.

The Customer Reliability Engineer will analyze and provide predictive analytics for power generation and mining equipment, ensuring customer satisfaction and monitoring solutions.

The Customer Reliability Engineer analyzes the health and performance of various industrial equipment using predictive analytics software, requiring knowledge of engineering processes and equipment.

The role involves delivering predictive analytics solutions for customer accounts, analyzing data, and mastering related software tools. Requires teamwork and customer management skills.

The Customer Reliability Engineer leverages expertise in mechanical engineering and IT to provide predictive analytics for industrial equipment maintenance and performance, primarily in power generation, oil and gas, and mining industries.

The Site Reliability Engineer will automate processes, manage server deployments, and collaborate with teams to enhance operational workflows in a trading environment.

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

As a Cloud Cost Utilization SRE at GitLab, you'll manage cloud spending, improve tracking and optimization of cloud usage, and collaborate with finance and engineering teams to enhance cost efficiency across AWS and GCP.

Drive reliability testing and qualification of cellular base stations, collaborating with R&D for long-term reliability and product lifecycle support.

The Senior Technology Site Reliability Engineer is responsible for maintaining and optimizing infrastructure and applications, ensuring reliability and performance while automating processes and collaborating with teams.

Responsible for enhancing application infrastructure, ensuring reliability and scalability, automating processes, implementing observability, and collaborating with software development teams.

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.

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.

The Database Reliability Engineer manages and maintains cloud-based database infrastructures for SaaS applications, focusing on automation, process improvement, and collaboration with engineering teams.

As a Database Reliability Engineer at ClickHouse, you'll improve reliability, manage escalation processes, support incident response, and enhance database performance while collaborating across teams.

Lead reliability engineering for Silicon Photonics hardware: define and validate reliability models, perform MTBF/MTBCF predictions, analyze field data, direct verification testing and root-cause analysis, drive corrective actions, and mentor cross-functional teams to improve product reliability.

Design, build, and maintain scalable, reliable application infrastructure. Automate deployments and configuration, implement observability and monitoring, troubleshoot performance, advise development teams on SDLC and microservice best practices, create runbooks, participate in 24x7 on-call rotation, and ensure security and disaster recovery readiness.

Seek an SRE/Network Engineer with deep MAAS and bare-metal automation expertise to manage hundreds of nodes across distributed sites. Responsibilities include Linux administration, hardware-level diagnostics (BIOS/IPMI/RAID), network design (VLANs/L2-L3/VPN/UniFi), infrastructure automation (Ansible, Bash/Python, Git), observability (Prometheus/Grafana, ELK/Graylog/Loki), PXE/MAAS-based OS provisioning, API integrations, virtualization (OpenStack/Kolla-Ansible, Proxmox, VMware), and container workload support.

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

Own and evolve Babylist's AWS infrastructure and developer platform using Terraform and Kubernetes. Improve CI/CD reliability, support engineers across environments, define monitoring and alerting standards, lead incident response and postmortems, and shape platform architecture to scale for millions of users.

Lead SRE work to keep Circle highly available and performant: respond to incidents, own monitoring/alerting/log management, manage and optimize MySQL/Postgres/ClickHouse/Redis databases, maintain server infrastructure and deployment pipelines, collaborate with engineering teams, and build internal SRE tooling and automation.

Owner of on-prem reliability and escalations: reproduce and resolve L2/L3 issues across heterogeneous Kubernetes environments, build diagnostics and automation, improve CI and e2e test stability, establish performance baselines, harden install/upgrade flows, and write tooling in Python/Go/Rust to reduce repeat incidents.