Reliability Engineer (Remote)
About the Role
As Reliability Engineer, you will ensure the resilience and availability of Kohl’s systems and applications and collaborate closely with development teams to review designs, conduct risk assessments and implement robust monitoring and failover mechanisms.
What You’ll Do
Drive incident response efforts, perform root cause analysis and implement preventative measures to enhance system reliability
Establish consistent practices that elevate Kohl’s operational excellence through automation and process improvements
Follow software lifecycle and drive reliability, observability and efficiency across product teams within an assigned domain
Identify repeated toil and find opportunities for automation and risk reduction
On-call on a 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 using chaos engineering techniques such as edge cases, failure modes and design review
Advise on capacity planning and provide continuous assessments on systems behavior and consumption
Work with product managers to identify and prioritize work for reliability best practices (i.e., leveraging SLIs/SLOs/Error Budgets)
Additional tasks may be assigned
What Skills You Have
Required
Bachelor's Degree or equivalent in MIS, Computer Science or related field
2+ years of experience in software development
Strong programming skills in one or more languages (Java, Python, Go or Node.js)
Working knowledge of systems architecture, operating system internals and network fundamentals
Experience working with one cloud platform (e.g., GCP, AWS, or Azure)
Preferred
Experience with monitoring techniques and tools (e.g., CloudWatch, Grafana, Prometheus, OpenTelemetry, Tracing)
Working knowledge around containerization and container orchestration (e.g., Docker, Kubernetes, Rancher)
As Reliability Engineer, you will ensure the resilience and availability of Kohl’s systems and applications and collaborate closely with development teams to review designs, conduct risk assessments and implement robust monitoring and failover mechanisms.
What You’ll Do
Drive incident response efforts, perform root cause analysis and implement preventative measures to enhance system reliability
Establish consistent practices that elevate Kohl’s operational excellence through automation and process improvements
Follow software lifecycle and drive reliability, observability and efficiency across product teams within an assigned domain
Identify repeated toil and find opportunities for automation and risk reduction
On-call on a 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 using chaos engineering techniques such as edge cases, failure modes and design review
Advise on capacity planning and provide continuous assessments on systems behavior and consumption
Work with product managers to identify and prioritize work for reliability best practices (i.e., leveraging SLIs/SLOs/Error Budgets)
Additional tasks may be assigned
What Skills You Have
Required
Bachelor's Degree or equivalent in MIS, Computer Science or related field
2+ years of experience in software development
Strong programming skills in one or more languages (Java, Python, Go or Node.js)
Working knowledge of systems architecture, operating system internals and network fundamentals
Experience working with one cloud platform (e.g., GCP, AWS, or Azure)
Preferred
Experience with monitoring techniques and tools (e.g., CloudWatch, Grafana, Prometheus, OpenTelemetry, Tracing)
Working knowledge around containerization and container orchestration (e.g., Docker, Kubernetes, Rancher)