Top Remote Reliability Engineer Jobs in Chicago, IL

Lead platform infrastructure reliability initiatives for a microservices-based cloud SaaS solution. Design scalable, automated, observable infrastructure; define platform roadmaps; guide engineering teams through design reviews; reduce operational toil; build monitoring and alerting; and participate in on-call incident response. The role uses AWS, Kubernetes on EKS, Istio, infrastructure-as-code, GitLab, Argo CD, and Datadog.

Build and operate reliable, scalable production infrastructure for GitLab’s user-facing services. Responsibilities include developing infrastructure automation and tooling, managing Kubernetes deployments, maintaining infrastructure as code, supporting CI/CD and GitOps, participating in on-call and incident response, improving observability and SLOs, troubleshooting production systems, and documenting operational practices. The role spans Intermediate through Senior Staff levels and requires strong software engineering, cloud, reliability, and asynchronous collaboration skills.

Design, implement, and operate infrastructure for high-scale production systems serving millions of users. Own reliability, observability, incident response, deployments, capacity planning, cost management, and operational excellence across bare-metal and cloud environments. Develop automation and performance tooling, improve production readiness, manage vendors, lead incident reviews, and mentor engineers on reliability and distributed-systems practices.

Lead Infrastructure Technical Program Management across Data Infrastructure, Reliability Engineering, and Developer Experience. Manage multi-quarter platform migrations, reliability and deployment-safety programs, AI-scale infrastructure initiatives, efficiency efforts, and planning rhythms. Define success metrics, manage risks and dependencies, align senior stakeholders, and communicate outcomes. Hire, coach, and develop senior TPMs while establishing operating standards for execution and portfolio reporting.

Define and enforce governance and standards across AWS, Azure, GCP, OCI, and Snowflake platforms. Design and implement cloud platform features, infrastructure as code, automation, monitoring, and reliability improvements. Support application engineering teams with infrastructure design, troubleshooting, security, performance, cost efficiency, backup, and disaster recovery. Configure and automate Windows and Linux systems, servers, storage, networking, Active Directory, Group Policy, and Remote Desktop Services.

Own the reliability, availability, performance, observability, and security of Ophelia’s GCP telehealth platform. Define SLOs, improve monitoring and incident response, expand Terraform infrastructure, strengthen CI/CD, manage disaster recovery, and address latency and Cloud Run performance. Lead on-call maturity, HIPAA/SOC 2 infrastructure controls, and reliability education for engineers. Use AI-assisted tools for automation and incident triage while partnering with technical and non-technical stakeholders.

The Site Reliability Engineer will operate and improve critical, high-traffic systems across AWS and Azure. Responsibilities include infrastructure-as-code, automation, incident response, root-cause analysis, monitoring, alerting, disaster recovery, capacity planning, performance tuning, high availability, cloud security, CI/CD, and multi-cloud networking. The role also involves mentoring, documentation, regular DR testing, and on-call participation.

Build and operate AWS GovCloud environments within FedRAMP boundaries, including multi-account infrastructure, guardrails, logging, security tooling, and Terraform provisioning. Develop automated fleet release, patching, verification, CI/CD, compliance evidence, telemetry, SLO, and alerting systems. Support VM and appliance fleets at scale, participate in on-call, and engineer recurring incident causes away. The role also requires compliance-as-code, continuous monitoring, and test harnesses validating operational state.

Lead operational reliability and platform enablement for Databricks: build monitoring, CI/CD, deployment standards, compute and job policies, observability, runbooks, and governance to support secure, cost-aware, production data workloads across regulated environments. Mentor engineers and align platform with cloud/infrastructure and compliance requirements.

Ensure reliability, scalability, and usability of network infrastructure for Akamai Connected Cloud. Define requirements and SLOs, build automation and CI/CD pipelines, collaborate with dev/QA to improve code and stability, troubleshoot complex network issues (on-call), and mentor teammates while driving architectural standards.

Lead end-to-end deployment and operation of cloud infrastructure and Symmetri environments for US customers. Provision, configure, monitor, maintain, upgrade, and troubleshoot cloud, single-tenant, on-premises, and air-gapped environments. Manage Kubernetes, networking, IAM, infrastructure as code, resource planning, incident response, runbooks, and root-cause analysis. Represent the company in customer security reviews and help establish US deployment and operations standards and teams.

Designs and develops Python-based AWS cloud solutions, reliability tools, automation, observability, and Terraform infrastructure. Builds CI/CD pipelines, defines SRE standards and SLOs, supports incident management, and improves platform reliability through monitoring, postmortems, testing, and proactive toil reduction. Collaborates with cross-functional Agile teams to deliver scalable cloud automation across the Federal Reserve System.

Own the reliability, performance, resilience, observability, and security of AWS and Kubernetes infrastructure supporting products and AI/ML workloads. Define SLOs, lead incident response and root-cause analysis, build Terraform automation, optimize cloud costs, reduce operational toil, and establish deployment standards that help engineers ship reliably. Participate in on-call rotations and maintain HIPAA-compliant infrastructure.

Serve as Vida’s first dedicated Site Reliability Engineer, modernizing Terraform, standardizing environments, improving CI/CD, scaling GCP and Kubernetes infrastructure, upgrading databases and runtimes, and strengthening monitoring, observability, security, and operational processes. The role includes building runbooks, on-call and escalation procedures, supporting enterprise launches, managing infrastructure costs, and evaluating multi-cluster Kubernetes architecture in a fully remote environment.

Maintain, operate, and enhance a multi-cloud platform supporting enterprise payment systems. Design resilient microservices and cloud-native architectures, manage Kubernetes environments, implement monitoring and alerting, evaluate emerging technologies, and mentor junior engineers. The role requires deep AWS or Azure expertise, Terraform-based infrastructure automation, cloud networking, container security, and experience migrating large monolithic applications to scalable cloud platforms.

Own and improve CI/CD, developer tooling, agent harnesses, Kubernetes infrastructure, observability, cost management, and incident-response practices. Build platform capabilities that reduce engineering toil and improve delivery speed for conversational AI products. Participate in an on-call rotation for core infrastructure and help shape reliable, scalable systems across a fully remote engineering organization.

Own the reliability, scalability, and administration of production Vitess/MySQL and Cassandra databases. Design highly available architectures, replication, backup, recovery, security, and disaster recovery strategies. Lead incident response, on-call operations, monitoring, SLO development, root cause analysis, and production readiness reviews. Automate database and infrastructure operations using scripting, Kubernetes, Terraform, Ansible, and Jenkins. Establish runbooks, escalation procedures, training materials, and mentor junior database SREs while partnering across engineering and infrastructure teams.

Leads site reliability engineering for mission-critical cloud platforms, focusing on disaster recovery drills, platform rebuild validation, infrastructure automation, Kubernetes operations, CI/CD, observability, incident response, and system resilience. Collaborates across engineering, security, applications, and data teams while driving remediation and modernization efforts. The role requires deep AWS, Infrastructure as Code, containerization, automation, monitoring, and failure-analysis expertise, plus eligibility for Public Trust clearance.

Architects and owns highly available infrastructure and Kubernetes-based platforms supporting autonomous systems. Builds Golang backend services, platform tooling, observability systems, dashboards, alerts, and log aggregation. Partners with product teams to launch services, performs performance analysis, manages cloud upgrades, and participates in incident response and postmortems. Collaborates on cloud security risk assessments, intrusion detection, threat-feed systems, risk mitigation, and SaaS payment processes. Provides architectural leadership and mentorship across engineering teams.

Own production reliability across Azure, colocation, and edge Kubernetes environments. Build observability, alerting, automated recovery, high-availability architectures, deployment automation, and cost optimization. Lead incident response, troubleshoot distributed systems, improve disaster recovery and operational maturity, support platform lifecycle management, and mentor engineers. Participate in separate weekday and weekend on-call rotations for customer-facing systems.

Own database reliability, scalability, and operational excellence across cloud and on-premises environments. Build automated Kubernetes-based database platforms, infrastructure tooling, failover and backup systems, and self-healing capabilities. Lead observability, performance optimization, capacity planning, incident response, and safe migration practices. Partner with application teams, leverage AI for operational improvements, mentor engineers, influence architecture, and drive technical strategy for highly available database infrastructure.

As a Senior Site Reliability Engineer, you'll design and build complex systems, support Atlas platform operations, automate processes, and ensure high availability of services.

Designs, operates, and improves scalable cloud and on-premise infrastructure, CI/CD pipelines, Kubernetes platforms, data streaming systems, and observability tooling. Owns AWS reliability, security, cost efficiency, automation, progressive deployments, incident response, and production troubleshooting. Partners with software engineering teams to integrate services and drive continuous improvements in system performance, scalability, and uptime.

Owns reliability analysis for mission-critical electrical systems in data centers. Develops electrical BIA and FMEA packages, defines monitoring and maintenance strategies, validates one-line diagrams and redundancy assumptions, and recommends testing, spare-parts, redesign, and risk-reduction actions. Supports root-cause analyses, commissioning, vendor reviews, workshops, and design changes while communicating technical risks and tracking reliability improvements. Requires travel of 25% to 40% and occasional maintenance-window support.

Leads reliability engineering for power generation, wind, electrification, data center, hybrid, and energy storage systems. Develops reliability models and simulations, coordinates equipment and protective relay requirements, evaluates architectures, and translates customer availability goals into engineering designs. Supports energy policy analysis, customer reports, proposals, reference architectures, and cross-functional projects involving engineering, sales, government, universities, and industry partners.