Implement and support infrastructure and deployment patterns for enterprise applications, including containerized workloads, Kubernetes-based platforms, AWS services, networking, certificates, secrets, identity, and environment configuration.
Support the secure deployment and operation of enterprise applications across development, test, pre-production, and production environments, promoting consistent and repeatable platform practices.
Translate technical requirements and application needs into repeatable infrastructure, deployment, automation, and operational solutions.
Build reusable CI/CD pipelines, deployment templates, automation scripts, and platform components that can be applied consistently across applications and environments.
Integrate applications and deployment workflows with AWS services, enterprise identity platforms, registries, data platforms, monitoring solutions, and approved internal or external APIs.
Implement and support automated quality and security controls within CI/CD pipelines, including infrastructure validation, security scanning, dependency checks, and deployment verification.
Create rapid prototypes and proofs of concept to validate infrastructure, deployment, automation, and platform approaches, then translate approved concepts into production-ready capabilities.
Use Git-based source control, CI/CD, infrastructure as code, containers, Kubernetes, automated releases, monitoring, rollback, and incident-management practices to support reliable software delivery.
Write clean, reusable, well-documented, secure, and maintainable automation, infrastructure, configuration, and application-support code.
Participate in code reviews and incorporate feedback to improve automation quality, infrastructure reliability, security, performance, and maintainability.
Monitor and troubleshoot production platforms and applications across Kubernetes, containers, AWS infrastructure, CI/CD pipelines, networking, identity, data integrations, and application components; support defect resolution and root-cause analysis.
Create and maintain technical documentation, including architecture notes, infrastructure diagrams, deployment procedures, configuration standards, troubleshooting guides, and operational runbooks.
Contribute reusable platform components, DevSecOps patterns, engineering standards, and continuous improvements that strengthen the broader Commercialization Technology ecosystem.
Work closely with software engineers, architects, product owners, security teams, data engineers, QA engineers, infrastructure teams, and other technology partners.
Follow Agile practices, contribute to sprint planning and effort estimation, and provide timely status updates on platform, DevOps, and infrastructure work.
Continuously build knowledge of modern DevSecOps, cloud, container, Kubernetes, infrastructure automation, observability, AI platform, and software delivery technologies.
Maintain accurate documentation of infrastructure configurations, platform standards, operational processes, and changes.
What we expect of you
We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a person with these qualifications.
Basic Qualifications and Experience
Master’s or Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field
Approximately 5 to 9 years of relevant software development or software engineering experience
Demonstrated experience serving as a developer or software engineer delivering enterprise software or data solutions
Ability to independently deliver moderately complex technical assignments while collaborating effectively within a cross-functional team
Ability to quickly learn unfamiliar technologies, platforms, and business processes
Eagerness to learn and grow in a software development environment
Functional Skills
Must-Have Skills
Demonstrated ownership of at least one production DevOps, CI/CD, infrastructure, automation, cloud, container, or platform component.
Hands-on experience with DevOps automation, scripting, or platform tooling using technologies such as Python, PowerShell, TypeScript/JavaScript, or shell scripting.
Hands-on experience with CI/CD pipelines and software delivery automation using technologies such as GitLab CI/CD, Jenkins, GitHub Actions, Azure DevOps, or comparable platforms.
Hands-on experience with containerization and deployment using Docker or comparable technologies, and working knowledge of Kubernetes concepts and operations.
Hands-on experience with AWS cloud services and infrastructure concepts, including compute, networking, IAM, storage, load balancing, and managed services.
Experience with infrastructure as code and environment automation using tools such as Terraform, CloudFormation, Helm, or comparable technologies.
Working knowledge of DevSecOps and cloud security concepts, including identity and access management, secrets management, vulnerability scanning, certificate management, and secure configuration.
Strong problem-solving and analytical skills; ability to learn quickly; excellent communication and interpersonal skills.
Experience working within Agile or Scrum delivery methodologies.
Ability to create clear technical documentation, including architecture diagrams, infrastructure designs, configuration instructions, deployment procedures, and operational support documentation.
Ability to communicate effectively with technical and nontechnical stakeholders and collaborate across global, virtual, and cross-functional teams.
Good-to-Have Skills
Experience supporting enterprise-grade technology platforms within a global, highly regulated healthcare, pharmaceutical, or biotechnology environment.
Strong experience with AWS cloud services, infrastructure management, and cloud-native architecture patterns.
Experience designing, deploying, and operating containerized workloads using Docker and Kubernetes in enterprise environments.
Experience implementing DevSecOps practices, CI/CD pipelines, automated quality and security controls, and source-control platforms such as GitLab.
Experience integrating deployment and operational workflows with enterprise data platforms, application platforms, registries, and relational databases.
Experience implementing secure identity, authentication, authorization, and secrets-management patterns using enterprise technologies such as OAuth 2.0, OIDC, SAML, IAM, or managed secrets platforms.
Familiarity with supporting AI/ML application infrastructure, platform integrations, or secure deployment patterns for AI-enabled workloads.
Experience with observability, application monitoring, centralized logging, metrics, alerting, tracing, and production support practices.
Ability to evaluate technology and infrastructure approaches, communicate engineering tradeoffs, and contribute to technology roadmap development with technical and nontechnical stakeholders.
Working understanding of business operations within Research and Development, Commercialization, Operations, Process Development, Commercial, or Marketing.
Experience working with geographically distributed development teams, vendors, business stakeholders, infrastructure teams, or managed-service providers.
Professional Certifications
Agile certification preferred: SAFe for Teams certification or equivalent
Cloud or DevOps certification preferred: AWS certification, Kubernetes certification, or equivalent
DevOps or infrastructure certification preferred: Terraform, Kubernetes, Docker, or equivalent
Relevant certifications preferred in cloud technologies, software development, DevOps, cybersecurity, infrastructure, Kubernetes, networking, Agile, or enterprise platforms
Soft Skills
Exceptional collaboration and communication skills
High degree of initiative and self-motivation
Ability to manage multiple priorities successfully
Team-oriented with a focus on achieving team goals
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