Top Senior Site Reliability Engineer Jobs in Chicago, IL

Maintain reliable, secure, and scalable APIs and websites across AWS environments. Monitor service health, define SLOs, resolve incidents, automate remediation, and optimize performance. Configure CDN, WAF, bot management, and rate limiting to mitigate abusive traffic such as scraping, credential stuffing, and API abuse. Manage infrastructure as code, IAM, network segmentation, TLS, secrets, CI/CD security checks, logging, and configuration drift. Collaborate with engineering, security, product, marketing, and legal teams on policies, compliance, and data integrity.

Builds, maintains, monitors, and optimizes applications and infrastructure for availability, reliability, scalability, and performance. Designs automated CI/CD and infrastructure-as-code solutions, implements observability and SLOs, responds to incidents, reduces toil, troubleshoots cloud and networking issues, and applies authorized AI tools to improve incident analysis and reliability. Guides teammates in adopting SRE practices across data management and migration platforms.

Own the operational health, observability, reliability, and failover of AI model providers and endpoints. Build SLO monitoring, canaries, quality regression detection, automated provider-operations tooling, and load-testing systems. Lead incident response, communicate with external providers, produce reliability scorecards, and drive postmortems and corrective actions. Support capacity planning and launch readiness for high-volume LLM inference traffic.

Own the reliability, availability, security, and observability of Tradeweb’s global AWS platform. Responsibilities include infrastructure-as-code automation, monitoring, SLO development, incident triage and resolution, performance analysis, architecture collaboration, and regular on-call support. The role requires cloud-native engineering, scripting, networking, Linux/Unix, security, and reliability expertise while contributing to an Agile engineering organization.

Owns production reliability for a B2B SaaS platform, including SLOs, error budgets, observability, alerting, incident response, recovery exercises, performance and capacity engineering, load testing, disaster recovery, and production readiness. The role writes automation and production code, leads incidents, coaches engineering teams, and improves reliability across Kubernetes, Azure, databases, messaging, and service infrastructure.

Performs site reliability engineering for large-scale cloud infrastructure, focusing on application and network performance, reliability, security, scalability, and capacity. Deploys highly available systems, automates cloud service deployments, monitors and troubleshoots services, analyzes logs and events, maintains SLAs, and resolves infrastructure issues. The role requires expertise in microservices, container orchestration, cloud migration, deployment automation, and multiple DevOps technologies.

Analyzes and resolves availability and performance issues in large-scale production and lab environments. Develops automation, monitoring, alerting, log analysis, debugging tools, and systems programming solutions. Collaborates with software development and engineering teams on CI/CD, platform architecture, incident resolution, and operational best practices within an agile SDLC.

Own production reliability and infrastructure operations for the GrayKey cloud platform. Responsibilities include AWS monitoring, incident response, vulnerability remediation, networking, IAM and Okta administration, EKS and Argo CD operations, backups, recovery testing, Terraform changes, cost optimization, automation, documentation, and compliance support. The role requires independent work during Pacific and Mountain time-zone hours and involves less than 5% travel.

The Staff Data Reliability Engineer ensures data integrity, quality, freshness, and availability across enterprise pipelines. Responsibilities include defining data SLOs, implementing observability, building resilient Informatica and Python/PySpark pipelines, automating validation and recovery, eliminating operational toil, leading data incidents and postmortems, creating runbooks, and applying AIOps, machine learning, and DataOps practices to detect anomalies and self-heal data workflows.

The Linux Systems Administrator will maintain and troubleshoot Linux systems, support network services, and work on systems integration while collaborating with infrastructure teams.

Lead reliability, scalability, and operational excellence of large-scale database platforms across cloud and on-prem. Build automation-first database infrastructure (Kubernetes operators, IaC, GitOps), drive monitoring/SLOs, incident leadership, performance and cost optimization, and partner with application teams on safe schema/migration practices. Mentor engineers and evaluate AI-assisted workflows to improve productivity and reliability.

Leads SRE and cloud operations for highly available, scalable platforms and AI-powered solutions. Designs AWS infrastructure, Kubernetes environments, CI/CD pipelines, Infrastructure as Code, observability, automation, and incident response processes. Develops AI-driven operational capabilities, supports MLOps and model lifecycle management, establishes reliability metrics and SLOs, and mentors engineering teams. Partners with software, data, machine learning, security, and product teams to improve platform performance, resilience, and operational excellence.

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.

Designs and operates Azure DevOps CI/CD pipelines, Terraform infrastructure, Azure platforms, API Management, and MuleSoft integrations. The role owns reliability engineering through observability, SLOs, incident response, disaster recovery, performance optimization, and cost governance. It also embeds DevSecOps practices and develops AI-assisted automation for troubleshooting, infrastructure, and operational workflows. Responsibilities include technical leadership, standards development, mentoring, production support, and collaboration across development, architecture, security, and infrastructure teams.

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.

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 and mentor a global SRE team while overseeing incident response, system health, availability, performance, monitoring, logging, automation, and capacity management. Develop reliability tooling, improve observability, support on-call operations, and partner with engineering and product teams on reliability-focused initiatives. The role also involves project leadership, compliance adherence, and proactive reduction of operational toil through automation and engineering practices.

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.

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.

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.