Sr. Manager, Cloud Center of Excellence & Systems Engineering

Arlo is standing up a Cloud Center of Excellence (CCoE) to drive engineering efficiency and ease of adoption across our 400+ person engineering organization. You will own the CCoE program and a Systems Engineering team responsible for cloud standards, shared tooling, and common libraries - making it easier for every team to build and ship reliably.

Do you have experience in Team management?, * 8+ years of software or cloud/platform engineering experience, with 3+ years in

engineering management

• Deep expertise in AWS (EKS, DynamoDB, RDS, IAM, Cost Explorer) and IaC tooling

(Terraform, CDK, or equivalent)

• Experience designing and maintaining shared libraries or platform SDKs consumed by

multiple teams

• Demonstrated ability to define and enforce engineering standards across a large, multi-

team organization

• FinOps mindset: experience managing and optimizing cloud costs at scale
• Strong communicator - able to translate technical topics for both engineers and

executives, * Experience building an internal developer platform (IDP) or cell-based / multi-region

architecture

• Familiarity with AI/ML infrastructure (Databricks, SageMaker, Bedrock)
• AWS certifications (Solutions Architect, DevOps Engineer) or FinOps Foundation

3.33.3 out of 5 stars Milpitas, CA $200,000 - $270,000 a year - Full-time, * Own the cloud engineering culture across a 400+ person org with global impact

• Work on a platform processing billions of events per day for millions of customers
• Competitive compensation, equity, and a genuine commitment to your growth

The pay range for this position reflects the minimum and maximum target for new hire salaries at commencement of employment and is expected to be between USD$200,000 - $270,000/year. However, base pay offered may vary depending on multiple factors, including role, job-related knowledge, skills, relevant education and experience.

Early leverages Generative AI to accelerate development, enhance code quality, and speed up time-to-market. Early's AI-Agent for test code generates automated, comprehensive, cost-effective working tests, catching bugs early, expanding code coverage, and improving overall quality.