Senior Reliability Engineer

Kohl's

. Drive error budget and Service Level Objective (SLO) adoption across products .

Posted 10/13/2026full-timeMenomonee Falls • Wisconsin • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in driving reliability and operational excellence through automation, incident response, and root cause analysis. Proficient in software development, systems architecture, and cloud platforms, with a focus on performance tuning and monitoring.

Highest-signal resume keywords

Service Level Objective (SLO) AdoptionRoot Cause Analysis (RCA)Cloud Platform Experience (GCP, AWS, Azure)Programming Skills (Java, Python, Go, Node.js)Monitoring Techniques and Tools (CloudWatch, Grafana, Prometheus)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentSystems ArchitectureApplication Design PatternsEvent-Driven ArchitectureDatabase SchemasPerformance TuningContainerization (Docker, Kubernetes)Infrastructure as Code (Terraform, OpenTofu)AI and ML Methodologies (MLOps)IBM Mainframe Experience

Soft Skills

MentoringCollaborationProblem-Solving

Tools & Technologies

CloudWatchGrafanaPrometheusOpenTelemetryChefAnsiblePuppet

Industry Keywords

Operational ExcellenceIncident ResponseChaos EngineeringCapacity PlanningBlameless Retrospectives

Tech Stack

Tools & technologies

AnsibleAWSAzureChefCloudDockerElixirGoogle Cloud PlatformGrafanaJavaJavaScriptKubernetesNode.jsPrometheusPuppetPythonTerraformGo

About the role

Key responsibilities & impact

Drive error budget and Service Level Objective (SLO) adoption across products
Drive incident response efforts, perform root cause analysis, and implement preventative measures
Establish operational excellence practices through automation and process improvements
Follow the software lifecycle and drive reliability, observability, and efficiency across product teams
Identify repeated toil and opportunities for automation and risk reduction
Participate in an on-call rotation for production incidents
Conduct blameless retrospectives and root-cause analyses (RCAs)
Proactively identify failures using chaos engineering, edge cases, failure modes, and design reviews
Advise on capacity planning and continuously assess system behavior and consumption
Partner 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

Requirements

What you’ll need

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 IBM Mainframe, including TSO/ISPF, JCL, batch job scheduling, CICS transaction processing, and RACF security
Working experience with one cloud platform: GCP, AWS, or Azure
Working experience with monitoring techniques and tools such as CloudWatch, Grafana, Prometheus, OpenTelemetry, 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: Working experience with Elixir
Preferred: Experience with AI and ML methodologies (MLOps)
Preferred: Experience writing infrastructure as code, such as Terraform or OpenTofu