[Hiring] Site Reliability Engineer I @Medallia

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.