Site Reliability Engineer

*What you will do*

In this vital role you will responsible for the reliability, stability, performance, scalability, and security of platforms that support Amgens digital products and engineering teams. This hands-on role focuses on supporting cloud-based infrastructure, automating operations, maintaining observability, and improving platform reliability through code.

Youll work closely with senior engineers and cross-functional teams to support CI/CD workflows, container platforms, incident response, and enterprise toolingall while adopting modern SRE principles and practices.

This role is ideal for engineers who have foundational site reliability experience and are looking to expand their skills in a cloud-native, enterprise-scale environment.

Roles & Responsibilities:

*Infrastructure & Platform Support*

• Provision and manage cloud infrastructure using Infrastructure as Code (IaC)
• Support container orchestration platforms, ensuring availability, access control, and resource management
• Assist in configuring and maintaining CI/CD pipelines and environments

Monitoring & Incident Response

• Set up and maintain observability tools to track system health and performance
• Participate in alert tuning, incident resolution, and root cause analysis
• Support integration of observability platforms with incident response workflows

Automation & Platform Operations

• Automate routine platform tasks such as provisioning, patching, and configuration
• Write scripts to improve platform reliability, reduce manual work, and enforce compliance
• Participate in platform upgrades, maintenance windows, and service validation efforts

*AI Enablement & Intelligence*

• Support the adoption of AI-assisted operational tools for log analysis, anomaly detection, and predictive alerts
• Collaborate with senior engineers to evaluate AI/ML-based observability and automation platforms
• Assist in integrating AI-driven insights into dashboards, alerts, or incident workflows
• Stay current with emerging AI trends in infrastructure and site reliability, and contribute to tool evaluations and pilots

*Collaboration & Enablement*

• Work with development, QA, and security teams to ensure reliable and secure deployments
• Document operational procedures, playbooks, and system runbooks
• Learn and support enterprise collaboration platforms and internal tooling
• Participate in Agile and SAFe delivery processesincluding sprint planning, stand-ups, retrospectives, and PI planningto ensure security and platform reliability are embedded across development cycles.

*What we expect of you*

We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications.

Basic Qualifications:

• Master's degree / Bachelor's degree and 5 to 9 years in Computer Science, IT or related field
• 4 years of hands-on related experience in site reliability, DevOps, or platform engineering roles
• Hands-on experience with cloud platforms preferably AWS
• Familiarity with Kubernetes or container orchestration technologies
• Exposure to CI/CD practices and pipeline automation
• Experience troubleshooting Linux systems, processes, and services

Preferred Qualifications:

*Must-Have Skills:*

• Practical experience with cloud platforms (e.g., AWS, Azure, or GCP), including compute, networking, IAM, and storage services
• Familiarity with container orchestration platforms (e.g., Kubernetes, Docker), including basic workload deployment and troubleshooting
• Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation
• Working knowledge of Linux administration , including system services, package management, and file system structures
• Hands-on exposure to CI/CD platforms (e.g., GitLab CI, Jenkins, GitHub Actions) and pipeline troubleshooting
• Proficiency in scripting or automation languages like Python , Bash , or Go
• Exposure to observability tooling (e.g., Dynatrace , Prometheus , or Grafana ) for monitoring and alerting
• Familiarity with incident management practices and tools (e.g., runbooks, escalation workflows, basic alert tuning)
• Version control skills using Git and understanding of branching strategies
• Experience supporting or integrating enterprise collaboration platforms (e.g., Jira, Confluence, ServiceNow)
• Interest and basic understanding of AI/ML tools used in infrastructure and operations (e.g., anomaly detection, intelligent alerting, log analysis)

*Good-to-Have Skills:*

• Experience using Infrastructure as Code (IaC) tools like Terraform or CloudFormation
• Familiarity with IT incident response workflows and ticketing platforms
• Knowledge of secrets management, configuration management tools (e.g., Ansible), or logging frameworks
• Exposure to AI-assisted tooling (e.g., AIOps platforms, AI-enhanced alerting, anomaly detection)

Professional Certifications (Preferred)

• Cloud DevOps Certification (AWS/Azure/GCP)
• Certified Kubernetes Administrator (CKA) or Security Specialist (CKS)
• CI/CD Platform Certification
• ITIL Foundation or equivalent service management certification

*Soft Skills:*

• Strong analytical and troubleshooting skills
• Collaborative and proactive mindset
• Effective communication and documentation practices
• Curiosity and willingness to adopt new tools and methods, including AI integrations
• Ability to manage time and prioritize tasks in dynamic environments

Shift Information: This position is an onsite role and may require working during later hours to align with business hours. Candidates must be willing and able to work outside of standard hours as required to meet business needs.