About this role
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.