Manager, Cloud Engineering - AA, Remote
AbbVie
- Location
- Los Angeles, CA, United States
- Employment
- Full Time
- Work model
- Remote
- Level
- Mid
- H-1B history
- 94 approvals (FY2023)
- Posted
- 1d ago
Skills
About this role
Company Description
Allergan Aesthetics At Allergan Aesthetics, an AbbVie company, we develop, manufacture, and market a portfolio of leading aesthetics brands and products. Our aesthetics portfolio includes facial injectables, body contouring, plastics, skin care, and more. Our goal is to consistently provide our customers with innovation, education, exceptional service, and a commitment to excellence, all with a personal touch. For more information, visit https://global.allerganaesthetics.com/. Follow Allergan Aesthetics on LinkedIn.
Job Description
The Manager, Cloud Engineering , will continuously collaborate with key stakeholders across the business to solve critical technical problems for Allergan Aesthetics. You will be a hands-on leader of the foundational engineering team driving our system/service reliability, scale, and developer productivity. In this dual-focus leadership role, you will bridge the gap between keeping our production environment highly resilient and ensuring our internal software developers have friction-free, high-speed tools and pipelines. You will lead a talented team of engineers who build scalable infrastructure, standardize developer tooling, reduce toil, and foster a culture of operational excellence across the entire engineering organization. People & Team Leadership: Manage, lead, hire, develop and mentor a team of Platform Engineers to deliver high-quality infrastructure and developer solutions that are secure, resilient, and scalable. Foster a collaborative and inclusive team culture, encouraging knowledge sharing and continuous learning. Create and recommend professional learning paths for direct reports Conceptualize and execute technical approaches for emerging systems and architecture. Implement, through the team, the high bar of quality and standards for production reliability and the developer experience Act as the key point of contact between your team and other stakeholders and partner teams Site Reliability & Platform Engineering: Lead the adoption and maturation of SRE practices across the organization, partnering with service owners to improve production reliability. Define and champion SLO/SLI frameworks and error budget-based decision making to drive prioritization between reliability and feature work. Lead the strategy for internal developer platform capabilities — influence self-service infrastructure, developer tooling, and deployment patterns that improve velocity and reduce toil for product teams. Responsible for team capacity planning and staffing allocation activities to ensure sufficient staffing for current and future needs. Incident Management & Response: Plan, staff and support on-call rotation. Manage robust incident response and resolution, capture corrective and preventative actions and continuous improvements Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field.
Experience
(1-3 years) in a leadership role managing cloud/platform engineering teams with 6+ years of hands-on experience in SRE, DevOps, Infrastructure, and Platform Engineering. Experience building and operating internal developer platforms that improve engineering productivity, standardize delivery patterns, and reduce operational toil. Deep background in modern cloud environments (AWS, GCP, or Azure), container orchestration (Kubernetes), Infrastructure as Code (Terraform, Pulumi), and CI/CD tools (GitHub Actions, ArgoCD, GitLab CI). System Design: Proven track record in designing, scaling, and maintaining distributed systems with high availability requirements. Observability: Experience implementing comprehensive monitoring, logging, tracing, and alerting frameworks (Datadog, Prometheus, Grafana, OpenTelemetry) Experience surveying developer teams to identify friction points, prioritize platform improvements, and translate feedback into self-service capabilities that improve developer productivity. Deep