Career Category

Job Description

ABOUT AMGEN

At Amgen, our mission to serve patients drives everything we do. We discover, develop, manufacture, and deliver innovative medicines, and we use technology, data, and collaboration to help teams across the enterprise operate with greater speed, quality, and impact.

Role Description

The Sr Associate Software Engineer - Cloud Platform & DevOps will join a Global Supply Chain Data & Analytics team that supports a portfolio of cloud-native technology solutions used by supply chain strategy, network, planning, and operations functions. The team builds and sustains enterprise applications and services that support data-driven operational and strategic decisions.

In this role, you will independently own defined platform and production-reliability components across cloud infrastructure, Kubernetes, CI/CD, release automation, observability, identity, security, resilience, and operational support. You will work closely with application, data, architecture, quality, cybersecurity, and enterprise cloud teams to ensure solutions are secure, scalable, supportable, and production ready.

Roles & Responsibilities

• Operate and support cloud-native application environments on AWS, with a focus on Amazon EKS and Kubernetes-based workloads.
• Manage Kubernetes deployments, pods, services, ingress, namespaces, configuration, secrets, health checks, autoscaling, resource limits, and environment-specific settings.
• Build, maintain, and improve CI/CD pipelines for source validation, automated testing, security scanning, container-image creation, deployment, environment promotion, and rollback.
• Manage Docker images and container registries such as Amazon ECR, including image lifecycle, vulnerability remediation, and release traceability.
• Automate infrastructure and application configuration using Terraform, CloudFormation, Helm, or comparable infrastructure-as-code and configuration-management tools.
• Support development, test, staging, and production environments and maintain controlled, repeatable promotion paths between them.
• Implement and maintain application and platform observability, including logs, metrics, traces, dashboards, alerting, health indicators, and operational telemetry.
• Monitor availability, latency, errors, pod and node health, API performance, database connectivity, resource consumption, capacity, and cloud cost.
• Manage IAM roles, service identities, role-based access, secrets, credentials, certificates, network controls, and least-privilege access in alignment with enterprise standards.
• Coordinate vulnerability remediation, platform and dependency upgrades, patching, certificate and secret rotation, and resolution of security-scan findings.
• Lead incident response, service restoration, root-cause analysis, corrective actions, and continuous reliability improvements for platform-related issues.
• Define and test backup, restore, disaster-recovery, high-availability, and rollback procedures based on system criticality and enterprise requirements.
• Support integration and connectivity between cloud-hosted applications, databases, enterprise data platforms, APIs, and approved AI services.
• Partner with software engineers to diagnose production issues across React applications, backend services, APIs, databases, and distributed cloud components.
• Create and maintain architecture documentation, deployment procedures, support runbooks, operational standards, and knowledge-transfer materials.
• Support production releases, hyper care, and an appropriate release or production-support rotation in collaboration with global teams.

Basic Qualifications and Experience

• Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Engineering or equivalent).
• 5–9 years of work experience in cloud engineering, platform engineering, DevOps, SRE, or software engineering, subject to final HR leveling.
• Experience in the global pharmaceutical industry preferred.

Functional Skills

• Cloud platform engineering: independent operation and improvement of secure, scalable, production cloud environments and containerized workloads.
• Delivery automation: CI/CD, infrastructure as code, environment management, release orchestration, testing, security scanning, and rollback.
• Reliability and observability: service health, metrics, logs, traces, alerting, incident response, root-cause analysis, capacity, and resilience.
• Security and governance: IAM, service identities, least privilege, secrets, certificates, vulnerability management, auditability, and enterprise control alignment.

Must-Have Skills

• Strong hands-on experience with AWS and Kubernetes, preferably Amazon EKS.
• Experience deploying, operating, and troubleshooting containerized applications using Docker and Kubernetes.
• Strong CI/CD experience using GitLab CI/CD, GitHub Actions, Jenkins, Azure DevOps, or comparable tooling.
• Experience with infrastructure as code using Terraform, CloudFormation, or an equivalent framework.
• Experience with Helm or comparable Kubernetes packaging and configuration tools.
• Strong understanding of IAM, service identities, role-based access, secrets, certificates, networking, and least-privilege controls.
• Experience implementing monitoring, logging, alerting, production support, incident management, and root-cause analysis.
• Ability to automate operational tasks using Python, Bash, PowerShell, or a similar scripting language.
• Working knowledge of Linux, DNS, TLS, load balancing, networking, and cloud-native troubleshooting.
• Ability to diagnose deployment, pod, API, database-connectivity, performance, and environment issues with limited guidance.

Good-to-Have Skills

• Experience with AWS services such as ECR, RDS, S3, IAM, VPC, Application Load Balancer, Route 53, Lambda, API Gateway, or CloudWatch.
• Experience with PostgreSQL/RDS availability, backup, recovery, performance, and Multi-AZ configurations.
• Experience integrating with Databricks and supporting MLflow or data-platform observability.
• Experience with Open Telemetry, Prometheus, Grafana, Splunk, CloudWatch, or comparable observability platforms.
• Working knowledge of React applications, Python/FastAPI or Node.js services, REST APIs, and microservice troubleshooting.
• Experience defining SLOs/SLIs, conducting resilience or disaster-recovery testing, and improving operational readiness.
• Experience with cloud cost optimization, capacity management, and platform lifecycle management.
• Experience operating AI-enabled, RAG, or agent-based services in a controlled enterprise environment.
• Experience in life sciences, manufacturing, supply chain, healthcare, or another regulated enterprise environment.

Professional Certifications

• AWS Certified Solutions Architect - Associate, AWS Certified SysOps Administrator - Associate, AWS Certified DevOps Engineer - Professional, or Certified Kubernetes Administrator preferred.

Soft Skills

• Strong ownership, sound technical judgment, and disciplined follow-through from design through production support.
• Excellent analytical, problem-solving, and troubleshooting skills.
• Clear written and verbal communication of design decisions, estimates, evidence, trade-offs, risks, and support implications.
• Ability to work effectively with global, virtual, and cross-functional teams.
• High degree of initiative, adaptability, self-motivation, and willingness to learn new technologies and business domains.
• Ability to manage multiple priorities while maintaining quality, security, and delivery commitments.
• Collaborative mindset with openness to feedback and a focus on team outcomes.

WHAT YOU CAN EXPECT OF US

Amgen supports the professional and personal growth of its colleagues through a collaborative culture, meaningful work, and competitive total rewards aligned with local market practices.

EQUAL OPPORTUNITY STATEMENT

Amgen is an Equal Opportunity employer and considers qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. Reasonable accommodation is available for the application and interview process and for performing essential job functions.