Staff Engineer - Engineering Platform

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 Opportunity

We are hiring a Staff Engineer to lead architecture, scalability, and modernization across our Java-based cloud platform. This role will drive the design and evolution of mission-critical services powering a large-scale IoT (MQTT) ecosystem handling millions of real-time device interactions.

You will operate as a senior technical leader—owning architectural direction, elevating engineering standards, and advancing AI-assisted development practices to improve velocity, quality, and governance.

Key Responsibilities

Architecture & Technical Strategy

• Define and evolve scalable, high-availability distributed system architecture.

• Lead modernization of microservices and modular Java platforms.

• Establish technical roadmaps aligned with product and business priorities.

Engineering Excellence

• Develop high-performance backend services using Java and Spring Boot.

• Optimize systems for scalability, low latency, and reliability under heavy load.

• Strengthen CI/CD, containerization, and deployment automation practices.

• Drive best practices in observability, security, and system reliability.

Cloud & Data Systems

• Architect and operate cloud-native systems on AWS (EKS, Lambda, DynamoDB, Aurora, S3, etc.).

• Design and optimize SQL and NoSQL data models for performance and scale.

AI-Assisted Development

• Leverage AI tools (Cursor, GitHub Copilot, ChatGPT, etc.) to accelerate design, refactoring, testing, and modernization while ensuring enterprise-grade quality and security standards.

Cross-Functional Leadership

• Influence technical direction across teams.

• Partner with Product, DevOps, SRE, and Security to align engineering initiatives with business goals.

What You Bring

• 10+ years of backend engineering experience, primarily in Java.

• Strong expertise in Spring Boot and distributed systems architecture.

• Proven experience building and operating large-scale production systems on AWS (7+ years preferred).

• Hands-on experience with Docker, Kubernetes, and CI/CD pipelines.

• Advanced experience with SQL and DynamoDB.

• Experience operating high-throughput systems (1M+ requests/min).

• Real-time or event-driven systems expertise (MQTT, streaming).

• Strong understanding of observability, distributed tracing, and performance tuning.

• Solid knowledge of OAuth2/OIDC and security best practices.

• Demonstrated cross-team technical leadership and mentorship capability.

• IoT or event-driven domain experience preferred.

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$155,000-225,000/year.  However, base pay offered may vary depending on multiple factors, including role, job-related knowledge, skills, relevant education and experience.  The total compensation package for this position may also include other elements, including bonus, equity, and a full range of benefits. Details of all benefits will be provided if an employee receives an offer of employment. 

We’re committed to inclusivity and selecting the strongest candidate—no matter their background. Even if you don’t meet every listed qualification, we encourage you to apply. We’re happy to support growth in areas essential to the role. Interested in learning more about our workplace? Visit and follow our LinkedIn, and Glassdoor pages to read employee insights and get updates of what it’s like to be part of Arlo.

Arlo is proud to be an Equal Opportunity Employer. We value inclusion and are committed to inclusive, and harassment-free workplace. We prohibit discrimination and harassment based on all legally protected statuses in all hiring and employment.

We provide reasonable accommodations to applicants and employees with disabilities, who are pregnant or have a related medical condition, or who have sincerely held religious beliefs, observances, and practices. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, the Company will consider for employment qualified applicants with arrest and conviction records.