• Design, provision, and manage AWS infrastructure using Terraform • Operate, maintain, and scale production workloads running on Kubernetes • Package, deploy, and manage applications using Helm and infrastructure automation tools • Build, operate, and improve distributed and event-driven systems • Define, monitor, and maintain Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets • Develop automation for deployment, scaling, monitoring, incident response, and operational workflows • Own platform observability by implementing and maintaining metrics, logging, tracing, monitoring, and alerting solutions • Lead incident response efforts, facilitate blameless postmortems, and drive long-term corrective actions • Partner with Product and Engineering teams on capacity planning, performance optimization, and resilient system design • Implement and maintain security best practices to support HIPAA, SOC 2, and other compliance requirements • Participate in an on-call rotation and provide operational support for production systems

• Collaborating with development teams for the design and implementation of robust, scalable, and secure cloud-native solutions on Azure and AWS. • Developing and maintaining infrastructure-as-code to manage and provision infrastructure across numerous Azure and AWS accounts, ensuring consistency and efficiency. • Maintaining and optimizing CI/CD automation pipelines to facilitate rapid and reliable software deployments. • Collaborating with security experts to translate organizational security requirements into secure and compliant cloud implementations. • Participate in all aspects of the software development lifecycle from user story generation, through design, development, automated testing and operational support • Improve quality by actively participating in code-reviews and adhering to team quality standards. • Own execution of small-medium sized features with higher-level technical support • You describe the details of your work fluidly and accurately to technical peers

• Scaling and maintaining our infrastructure and services using AI (Claude Code) as a first-class collaborator in your daily development workflow. • Being opinionated on technical direction and strategy (and documenting those opinions for others to be able to follow). • Leading and mentoring other engineers on the team • Owning and resolving the most complex infrastructure failures — Kubernetes scheduling edge cases, networking degradation, cross-service cascading failures, and AWS platform issues that other engineers escalate • Participating in a shared on-call rotation (roughly one week every six to eight weeks on call) • Estimating schedules, breaking tasks down to reasonable 1-3 day tasks. • Driving cloud cost efficiency by identifying over-provisioned resources, rightsizing EC2 and container workloads, and building tooling to surface cost anomalies before they compound

Role Description The Site Reliability Engineering organization at Medallia brings together the infrastructure and applications that power a highly reliable global SaaS platform. As an SRE I, you will work alongside experienced engineers to help maintain reliable, scalable, and efficient production systems. This role is designed for engineers early in their careers who are passionate about cloud infrastructure, automation, Kubernetes, and modern operational practices. - Gain hands-on experience supporting cloud-native applications. - Troubleshoot production environments. - Build automation to improve operational efficiency. - Participate in a rotating on-call schedule after onboarding and training. Responsibilities - Support production applications and infrastructure running in cloud and Kubernetes environments. - Monitor systems, troubleshoot alerts, and assist with operational incidents. - Collaborate with engineering teams to improve reliability and operational processes. - Write scripts and automation to reduce repetitive operational tasks. - Leverage modern automation and AI-assisted tools to improve operational efficiency and reduce repetitive work. - Demonstrate an engineering leverage mindset by identifying opportunities to automate repetitive work and improve team productivity. - Assist with CI/CD and deployment workflows. - Help maintain monitoring, alerting, and observability systems. - Participate in root cause analysis and continuous improvement efforts. - Learn and apply SRE principles and operational best practices. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. - 1 year of experience in software engineering, systems engineering, cloud operations, DevOps, or related technical roles. - Demonstrated experience configuring, navigating, or managing Linux systems and managing basic networking protocols (such as TCP/IP, DNS, or HTTP). - Ability to write, debug or modify scripts using Python or Bash. - Experience using Git and basic software development workflows. - Experience troubleshooting, diagnosing and resolving technical errors or system failures in a development or production environment. - Professional working proficiency in written and spoken English. Preferred Qualifications - Exposure to Kubernetes, Docker, or containerized environments. - Familiarity with cloud platforms such as AWS, OCI, or GCP. - Exposure to CI/CD concepts and automation tooling. - Familiarity with monitoring and observability concepts. - Internship or academic project experience related to cloud infrastructure or automation. - Understanding of infrastructure-as-code concepts such as Terraform or Ansible. - Exposure to AI-assisted engineering tools, automation platforms, or modern developer productivity solutions. - Strong willingness to learn modern cloud and infrastructure technologies. - Demonstrated curiosity and enthusiasm for automation, modern engineering practices, and emerging technologies. - Troubleshooting and analytical thinking mindset. - Strong communication and collaboration skills.