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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Engineer, Platform Engineering - Systems - **Company:** Cboe Exchange, Inc. - **Location:** Chicago, IL, United States - **Experience:** Experienced - **Salary:** $102,850.0 - $133,100.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Application Services, Microsoft Azure, Cloud Computing, Continuous Integration, Linux, Programming Tools, Github, Python (Programming Language), PostgreSQL, Reliability Engineering, Shell Script, SQL Databases, YAML, Data Logging, Kubernetes Helm Charts, Kubernetes, Information Technology, Apache Kafka, Terraform, Docker, Artifactory, Microservices - **Published:** October 2, 2026 - **Apply:** https://cboe.wd1.myworkdayjobs.com/External_Career_CBOE/job/Chicago-IL/Engineer--Platform-Engineering---Systems_R-4705-1 ## About the Role * Minimum Work Experience: 2+ years in platform, developer experience, infrastructure or reliability engineering with a bachelor's degree, or 5+ years without a degree * Experience supporting developer experience across the delivery lifecycle, from build and test through deployment and observability * Experience building and operating production application services, in Java or a comparable language, before moving into developer tooling * Instrumenting services and pipelines for observability, including the metrics, logs and traces that make runtime behavior visible * Defining service level objectives and running to an error budget, with alerting that reflects user impact rather than machine noise * Reducing deployment pain through automation, so changes reach production on a repeatable path with a low change failure rate and fast time to restore service * A bias toward automating repeated work permanently rather than performing it twice * Strong Linux fundamentals and comfort operating containerized services on Kubernetes, Nomad or similar orchestrators Preferred: * Proficiency in Python, Terraform and YAML, which is what most of this work is actually written in * Container runtimes such as Docker or Podman * GitOps deployment workflows * Building CI pipelines and integrating them with deployment tooling you did not write * Shell scripting and comfort automating around tools that lack an API * Incident response and disaster recovery testing * Financial markets infrastructure or other regulated, latency-sensitive systems Nice to have: * Cloud platforms including AWS, Azure or GCP * AI-assisted development tooling * Working SQL and comfort with PostgreSQL * Experience standing up a platform function from scratch Current technology stack: Java on Kubernetes. Application code and CI pipelines live in GitHub with GitHub Actions. Container images and build artifacts live in registries such as Harbor and Artifactory, and Helm charts are deployed by ArgoCD from a GitOps repository. PostgreSQL, Kafka and Linux. This is representative rather than exhaustive. Our platform team runs the deployment platform on its own tooling, in its own repositories, so a real part of this role is integrating cleanly across that boundary and telling them what our application developers need. You do not need experience with every technology in our environment. We hire for competencies over pedigree, so if you have built similar systems and learn quickly, we encourage you to apply. Minimum Work Experience: 5+ years in platform engineering, developer experience, infrastructure or reliability engineering Minimum Education: Bachelor's in Computer Science or a related discipline, or equivalent practical experience ## Description * Building and maintaining our CI pipelines in GitHub Actions, and integrating them with the platform team's deployment tooling. * Owning the Helm charts and values that define how our services run in each environment. * Instrumenting those pipelines to produce real metrics on our software delivery lifecycle. * Wiring observability into our microservices so engineers can diagnose behavior in production rather than reproduce it locally, including logging, tracing and retention. * Defining service level objectives for the services this team provides, and holding them to an error budget. * Making the path to production push button and reversible, so releases and rollbacks are routine, automated and low risk. * Creating tooling that measurably improves how quickly and safely other engineers ship. * Deploying and operating containerized services on Kubernetes. * Managing infrastructure as code and keeping environments consistent and reproducible. * Participating in incident response and turning findings into durable fixes rather than repeat tickets. * Contributing to disaster recovery testing and the validation of recovery objectives. * Documenting decisions in architecture decision records so choices stay visible to other teams., At Cboe, we are committed to providing a competitive, transparent, and market-informed total rewards program. The anticipated base salary range for this role is $102,850-$133,100, with actual compensation determined by job-related factors such as skills, relevant experience, education, internal alignment, and location. This role may also be eligible for annual incentive compensation and, where applicable, participation in Cboe's long-term equity programs.