Sr. Site Reliability Engineer

*What you will do*

In this vital role you will play a key role in building, scaling, and securing the platforms that underpin Amgens global digital initiatives. This role focuses on ensuring the reliability, performance, and efficiency of cloud-native platforms while enabling development velocity and operational excellence.

You will be responsible for designing and operating infrastructure and shared platforms used across the enterprise, including CI/CD, observability, incident management, and collaboration systems.

You will work extensively with containerized environments, handle multi-tenant Kubernetes platforms, and automate processes to improve resilience and reduce operational burden. This role requires deep technical depth, leadership skills, and the ability to drive initiatives across cross-functional teams and global stakeholders.

*Roles & Responsibilities:*

Platform Reliability Engineering

• Design, operate, and scale secure, highly available cloud-based infrastructure using Infrastructure as Code (IaC).
• Handle multi-tenant container orchestration environments with advanced access controls, workload isolation, and governance policies.
• Ensure enterprise CI/CD platforms are performant, secure, and optimized for high-throughput engineering teams.

Monitoring, Observability & Incident Management

• Build and handle observability platforms for full-stack visibility, leveraging metrics, logs, and traces.
• Define, implement, and continuously refine SLIs, SLOs, and error budgets for platform health and service performance.
• Automate incident response workflows, integrate with incident management platforms, and lead post-incident reviews and root cause analysis.
• Enterprise Platform Administration
• Operate and improve core engineering platforms (e.g., CI/CD, collaboration, knowledge sharing) to ensure availability, security, and ease of use.
• Automate platform provisioning, upgrades, access controls, and integration pipelines to reduce manual effort and improve consistency.
• Implement compliance, audit logging, and policy enforcement through code-driven governance models.

AI Adoption & Enablement

• Drive the adoption of AI/ML-based tools to enhance observability, incident prediction, remediation, and intelligent alerting.
• Evaluate and integrate AI-assisted automation platforms to reduce toil and improve operational efficiency.
• Partner with platform, security, and development teams to embed predictive analytics into dashboards, workflows, and root cause tooling.
• Champion a data-driven SRE practice by enabling thoughtful insights and anomaly detection across systems and platforms.

Leadership & Collaboration

• Serve as a technical thought leader and mentor within the SRE organization.
• Promote SRE principles and reliability culture across engineering teams.
• Collaborate with cross-functional stakeholders to influence architecture, roadmaps, and platform investment.
• Lead operational reviews and service health retrospectives, with a focus on continuous improvement.
• 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.

Basic Qualifications:

• Doctorate degree / Master's degree / Bachelor's degree and 8 to 13 years in Computer Science, Information Technology, or a related technical field
• Demonstrated success operating cloud-native infrastructure in production environments
• Practical experience handling Kubernetes clusters and CI/CD environments at enterprise scale
• Exposure to global on-call or incident support rotations
• Excellent collaboration and communication skills across technical and non-technical teams

Preferred Qualifications:

Must-Have Skills:

• Deep experience with cloud platforms (AWS, Azure, or GCP), including services such as compute, networking, IAM, and VPC design
• Proven proficiency in Infrastructure as Code (IaC) using tools such as Terraform or CloudFormation
• Advanced skills in managing container orchestration platforms (e.g., Kubernetes), including workload isolation, resource quotas, and role-based access control
• Strong understanding of Linux system administration , process management, and system performance tuning
• Hands-on experience with CI/CD platforms and pipelines (build automation, artifact storage, environment provisioning, rollback strategies)
• Strong background in observability tooling , including Prometheus , Grafana , Dynatrace , and distributed tracing frameworks like OpenTelemetry or Jaeger
• Strong practical experience with incident management platforms and practices (e.g., alert routing, runbooks, escalation paths)
• Automation and scripting proficiency in languages such as Python , Go , or Bash
• Experience with configuration management tools like Ansible , Chef , or SaltStack
• Strong grasp of networking fundamentals , such as routing, DNS, OSI layers, load balancing, firewalls, TLS, and security groups
• Version control and collaboration workflows using Git and GitOps principles
• Experience with enterprise collaboration platforms , including provisioning, integration, and permission control

Good-to-Have Skills:

• Exposure to service mesh technologies (e.g., Istio, Linkerd) and zero-trust network concepts
• Familiarity with secrets management platforms (e.g., HashiCorp Vault, AWS Secrets Manager)
• Experience using incident response and chaos engineering tools (e.g., Gremlin, Chaos Mesh)
• Background in cost optimization , budgeting, and resource tracking (FinOps)
• Awareness of policy-as-code frameworks (e.g., OPA, Kyverno)
• Familiarity with feature flagging and progressive delivery tools (e.g., LaunchDarkly, Argo Rollouts)
• Integration experience with ticketing and change management platforms (e.g., ServiceNow, Jira)
• Understanding of compliance standards (e.g., HIPAA, GDPR, SOC 2) and how they apply to infrastructure operations
• Understanding of security and encryption technologies and authentication protocols such as OpenID, OIDC, OAuth, SAML, and LDAP

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:

• High level of ownership and accountability for platform reliability
• Strong diagnostic and analytical capabilities with a bias for action
• Clear and confident communicator with an ability to influence without authority
• Passion for automation, operational excellence, and team mentorship