Jobs / Kohl's
Associate Reliability Engineer (Remote)
Kohl's · Menomonee Falls, WI, United States · Remote
Menomonee Falls, WI, United StatesRemote
Remuneration
Not specified
Location
Menomonee Falls, WI, United States · Remote
Central Daylight Time (UTC-5)
Visa sponsorship
Not specified
Job summary
The role helps ensure the resilience and availability of systems and applications by improving reliability, observability, and operational efficiency across product teams. Responsibilities include responding to production incidents, conducting blameless retrospectives and root-cause analyses, automating repeated toil, and using chaos engineering to identify failures; the work involves IBM Mainframe environments and may use Java, Python, Go, Node.js, cloud platforms, containers, and monitoring tools.
Qualifications
- Bachelor's Degree or equivalent in MIS, Computer Science or related field
- Programming skills in one or more languages (Java, Python, Go or Node.js)
- Working experience on IBM Mainframe (TSO/ISPF, JCL, Batch job scheduling, transaction processing (CICS) and Security (RACF)
- Basic knowledge of systems architecture, operating system internals and network fundamentals
- Basic knowledge of application design patterns, event-driven architecture, database schemas and testing strategies
- Basic knowledge of cloud platforms (e.g., GCP, AWS, or Azure)
- Working experience with Elixir
- Basic knowledge of continuous integration, continuous deployment and test-driven development
- Basic understanding of containerization and container orchestration (e.g., Docker, Kubernetes, Rancher)
- Basic understanding of configuration management (e.g., Chef, Ansible, Puppet)
- Familiarity with monitoring techniques and tools (e.g., CloudWatch, Grafana, Prometheus, OpenTelemetry, Tracing)
Responsibilities
- Follow software lifecycle driving reliability, observability and efficiency across product teams within your domain
- Identify repeated toil and find opportunities for automation
- Remain part of an on-call rotation to respond to production incidents and conduct blameless retros and root-cause analyses (RCAs) to drive a culture of continuous improvements
- Proactively identify failures before they cause outages by using chaos engineering techniques such as edge cases, failure modes and design review
Skills
AnsibleAWSAzureChefCloudWatchDockerElixirGCPGoGrafanaJavaKubernetesNode.jsOpenTelemetryPrometheusPuppetPythonRancherIBM Cloud
Degrees
Bachelor's Degree or equivalent in MIS, Computer Science or related field
Languages
JavaPythonGoNode.jsElixir
Work schedule
On-call rotation
Relocation
No