About the Role
In this role you will lead and mentor a team of reliability engineers to drive operational excellence across Kohl's distributed systems. You will develop and implement strategies, collaborate closely with engineering teams and ensure SRE best practices are embedded throughout the software development lifecycle.
What You'll Do
Conduct design reviews, implement robust monitoring and alerting and establish auto-healing practices
Provide leadership and guidance during critical incidents to triage, troubleshoot and resolve complex issues
Drive comprehensive root cause analysis and follow-through on preventative measures
Manage the software lifecycle, driving reliability, observability and efficiency in collaboration with peers across Design, Product Management, and Engineering
Lead major automation and toil reduction initiatives, simplifying the ecosystem and reducing risks
Set the vision and drive cultural transformation within the team
Lead technical initiatives within the team
Coach team through empathy and hands-on mentoring
Develop and deliver training programs to upskill the team and broaden SRE adoption across the organization
Hire, mentor, cultivate and lead a high-performing SRE team aligned with business priorities
Additional tasks may be assigned
What Skills You Have
Required
Bachelor's Degree or equivalent in MIS, Computer Science or related field
6+ years of experience in software development and 2+ years of progressive leadership experience, mentoring diverse teams
Successful transformation of technical leadership into people leadership
Advanced in-depth knowledge of application design patterns, event-driven architecture, database schemas and testing strategies
Demonstrated knowledge of systems architecture, operating system internals and networking
Proven experience with multi-region application troubleshooting and performance tuning
Demonstrated experience working with (at least one) cloud platform (GCP, AWS, or Azure) and a hybrid cloud environments
Advanced in-depth knowledge and experience with continuous integration, continuous deployment and test-driven development
Strong programming skills in one or more languages (Java, Python, Go or Node.js)
Strong leadership skills
Preferred
In-depth experience with containerization and container orchestration (e.g., Docker, Kubernetes, Rancher).
Demonstrated experience with one or more configuration management systems (e.g., Chef, Ansible, Puppet)
Demonstrated experience with monitoring techniques and tools (e.g., CloudWatch, Grafana, Prometheus, OpenTelemetry, Tracing)
Strong understanding of systems architecture, UNIX internals, networking topologies, multi-cluster applications, multi-tenant platforms and systems/network security
Passion for and experience with AI and ML methodologies (MLOps) and how to leverage solutions such as LLMs to automate.