Senior Reliability Engineer

Responsibilities

• Ensure the resilience and availability of Kohl’s systems and applications
• Collaborate closely with development teams
• Contribute to architectural designs
• Conduct risk assessments and design for failure
• Implement robust monitoring and failover mechanisms
• Drive error budget and Service Level Objective (SLO) adoption across products
• Lead incident response, perform root cause analysis, and implement preventative measures
• Establish operational excellence through automation and process improvements
• Drive reliability, observability, and efficiency across product teams
• Identify toil and opportunities for automation and risk reduction
• Participate in an on‑call rotation for production incidents
• Conduct blameless retrospectives and root-cause analyses
• Proactively identify failures using chaos engineering, edge cases, failure modes, and design reviews
• Advise on capacity planning and assess system behavior and consumption
• Work with product managers to prioritize reliability best practices using SLIs, SLOs, and error budgets
• Mentor and assist engineers on the team
• Perform additional assigned tasks

• 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 with one cloud platform: GCP, AWS, or Azure
• Working experience with monitoring techniques and tools such as Cloud Watch, Grafana, Prometheus, Open Telemetry, and tracing
• Preferred:
  In-depth knowledge of containerization and container orchestration, such as Docker, Kubernetes, or Rancher
• Preferred:
  Experience with configuration management systems, such as Chef, Ansible, or Puppet
• Preferred:
  Passion for and experience with AI and ML methodologies (MLOps)
• Preferred:
  Experience writing Infrastructure as Code, such as Terraform or Open Tofu

Demonstrates expertise in systems architecture, application design patterns, and cloud platforms, with a strong focus on reliability, observability, and automation. Proficient in programming languages such as Java, Python, and Go, and experienced in implementing monitoring and failover mechanisms.

• Systems Architecture
• Java Programming
• Cloud Platform Experience
• Monitoring Techniques
• Incident Response

• Java
• Python
• Go
• Node.js
• Systems Architecture
• Application Design Patterns
• Database Schemas
• Infrastructure as Code
• Multi-Region Application Troubleshooting
• Performance Tuning

• Collaboration
• Mentoring
• Root Cause Analysis
• Process Improvement
• Blameless Retrospectives

• Service Level Objective
• Error Budget
• Chaos Engineering
• Capacity Planning
• Automation

• GCP
• AWS
• Azure
• Cloud Watch
• Grafana
• Prometheus
• Open Telemetry
• Docker
• Kubernetes
• Terraform