Arlo
protection technology
Sr.Manager,CloudCenterofExcellence&SystemsEngineering
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optimal for Senior candidates.
“Sr. Manager, Cloud Center of Excellence & Systems Engineering at Arlo. Skills: Cloud Center of Excellence program ownership, Systems Engineering team management, cloud engineering standards definition and evolution, FinOps, shared platform tooling development, internal developer platform strategy, organizational influence on cloud strategy. Define and evolve cloud engineering standards, architectural patterns, and operational baselines. Drive FinOps practices: cost monitoring, rightsizing, reser”
What You'll Achieve.
Cloud standards and library gaps identified within 90 days; CCoE roadmap defined within 90 days; Working relationships established with engineering leads, SRE, and Engineering Tools teams within 90 days; Standards and updated libraries adopted across 3+ teams within 6 months; FinOps savings training program underway within 6 months; CCoE is the go-to for cloud decisions at 12 months; Common libraries are versioned and org-wide at 12 months; Platform tooling measurably reduces time-to-production at 12 months
Industry & Context.
Translate findings into adoption roadmaps; translate findings into updated standards and training; Influence investment decisions with data- driven insights
What They're Looking For.
Must Have
8+ years of software or cloud/platform engineering experience, 3+ years in engineering management, Deep expertise in AWS (EKS, DynamoDB, RDS, IAM, Cost Explorer), 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
Nice to Have
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 (FOCP), Background in consumer IoT, connected devices, or real-time streaming platforms
What You'll Do.
Define and evolve cloud engineering standards
architectural patterns
and operational baselines
Drive FinOps practices: cost monitoring
reserved capacity planning
and budget forecasting
Build and maintain a best-practices knowledge base: design patterns
common cloud service libraries
and observability playbooks
Evaluate emerging tools and technologies (AI infrastructure
etc.) and translate findings into adoption roadmaps
and documentation programs to upskill engineers on cloud-native design
Partner with the SRE organization on post-mortem translate findings into updated standards and training
Manage and grow a team of DevOps and Systems engineers
and career development for the Systems Engineering team
and lifecycle of common libraries shared across cloud services
Deliver shared platform tooling and internal developer platform
Partner with the Engineering Tools team on CI/CD integration
Drive adoption of the Arlo Cloud Platform — cell-based
AZ-bounded architecture and semver’d operational baselines — through enablement
Collaborate with Security and Compliance to embed governance into platform delivery
Serve as the senior technical voice on cloud
Build trusted relationships with engineering leads across all teams
Represent the team to executive leadership
Influence investment decisions with data- driven insights
How You'll Work.
Team & Collaboration
Partner with the SRE organization on post-mortem translate findings into updated standards and training; Partner with the Engineering Tools team on CI/CD integration; Collaborate with Security and Compliance to embed governance into platform delivery; Build trusted relationships with engineering leads across all teams; Represent the team to executive leadership
Communication Scope
Able to translate technical topics for both engineers and executives; Serve as the senior technical voice on cloud; Represent the team to executive leadership; Influence investment decisions with data- driven insights
Process & Methodology
Own the CCoE program, Own the development, versioning, and lifecycle of common libraries, Deliver shared platform tooling and internal developer platform, Drive adoption of the Arlo Cloud Platform
Full Job Description
**About Arlo:** At Arlo, we're passionate about creating innovative and reliable solutions that help people protect what matters most to them. Our team is dedicated to delivering products that exceed our customers' expectations, while always pushing the boundaries of what's possible in the world of protection technology. We believe that everyone deserves to feel safe and secure, whether they're at home or away, and we're committed to providing our customers with the peace of mind they need to live their lives without worry. Arlo’s deep expertise in AI- and CV-powered analytics, cloud services, user experience, product design, and innovative wireless and RF connectivity enables the delivery of a seamless, smart security experience for Arlo users that is easy to set up and interact with every day. The Role 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. # **What You’ll Do** # **Cloud Center of Excellence** • Define and evolve cloud engineering standards, architectural patterns, and operational baselines • Drive FinOps practices: cost monitoring, rightsizing, reserved capacity planning, and budget forecasting • Build and maintain a best-practices knowledge base: design patterns, IaC standards, common cloud service libraries, and observability playbooks • Evaluate emerging tools and technologies (AI infrastructure, edge compute, etc.) and translate findings into adoption roadmaps • Run office hours, workshops, and documentation programs to upskill engineers on cloud-native design — lowering the barrier to doing things the right way • Partner with the SRE organization on post-mortem learnings; translate findings into updated standards and training # **Systems Engineering**
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