• Build, maintain, and improve CI/CD pipelines using GitHub Actions to support application development teams across the program • Manage and optimize AWS cloud infrastructure supporting secure, scalable software delivery • Build and maintain infrastructure as code using Terraform and/or CloudFormation • Support a shift-left approach to security by embedding automated scanning, policy checks, and compliance validation into delivery pipelines • Monitor system health, performance, and security using CloudWatch and related tooling • Collaborate with development teams to improve developer experience and streamline deployment workflows • Support federal security and compliance requirements including FISMA and NIST 800-53

• 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 • 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 identify 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) • Mentor and assist engineers on the team

• Design, implement, and manage cloud infrastructure (primarily on GCP or similar platforms) • Deploy, monitor, and maintain applications on Kubernetes environments (GKE or similar) • Automate infrastructure provisioning and configuration using tools such as Ansible or equivalent • Build and manage CI/CD pipelines for efficient and automated deployments • Ensure high availability, scalability, and security of cloud-based systems • Monitor system performance, troubleshoot issues, and support production environments • Collaborate closely with development teams to improve deployment processes and system reliability • Implement logging, monitoring, and alerting solutions (e.g., Cloud Monitoring, Prometheus, Grafana) • Manage containerized applications using Docker and Kubernetes • Maintain and improve Infrastructure as Code (IaC) practices

- Ensure platform reliability and availability across production and pre-production environments through proactive monitoring, alerting, and automation. - First response for incidents, contribute to problem management and root cause analysis. - Supporting the development team's effort towards reliability, creating a solid reliability culture within the development lifecycle. - Develop troubleshooting documentation for production support resources. - Collaborate with Engineering teams to develop optimised and productive runbooks, operational documentation and automation of operational tasks. - Collaborate with development and cloud engineering teams to embed reliability and performance into the software delivery lifecycle. - Design, implement, and evolve observability solutions (metrics, logs, traces, dashboards) using tools such as Prometheus, Grafana, and ELK. - Participate in on-call rotations and continuously improve alert quality and response processes. - Champion a culture of reliability, performance, and continuous improvement across teams.