Senior Reliability Engineer (Remote)

• Drive error budget and Service Level Objective (SLO) adoption across products
• 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 identifies 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)
• Mentors and assists engineers on the team
• Additional tasks may be assigned

• Bachelor’s Degree or equivalent in MIS, Computer Science or related field
• 4+ years of experience in software development
• Strong programming skills in one or more languages (Java, Python, Go or Node.js)
• In-depth knowledge of systems architecture, operating system internals and network fundamentals
• In-depth knowledge of application design patterns, event-driven architecture, database schemas, and testing strategies
• Experience with multi-region application troubleshooting and performance tuning
• Working experience on IBM Mainframe (TSO/ISPF, JCL, Batch job scheduling, transaction processing (CICS) and Security (RACF)
• Working experience with one cloud platform (GCP, AWS, or Azure)
• Working experience with monitoring techniques and tools (e.g., CloudWatch, Grafana, Prometheus, OpenTelemetry, Tracing)

Preferred

• In-depth knowledge of containerization and container orchestration (e.g., Docker, Kubernetes, Rancher)
• Experience with one or more configuration management systems (e.g., Chef, Ansible, Puppet)
• Working experience with Elixir
• Passion for and experience with AI and ML methodologies (MLOps)
• Experience writing Infrastructure as code (e.g., Terraform, OpenTofu)