Sr Staff Software Engineer

Key Responsibilities

• Collaborate with leadership to align the 2-3 year technical roadmap for cloud infrastructure.
• Evaluate "Build vs. Buy" scenarios for core platform components to ensure we maintain a competitive advantage in the AI/IoT space.
• Lead the evolution of the SmartThings Schema and Cloud-to-Cloud (C2C) integration layers.
• Ensure that our interfaces with external ecosystems (e.g., Alexa, Google Home, Matter-over-Bridge) are low-latency, secure, and highly scalable.
• Standardize the implementation for "AI-Augmented Engineering."
• Guide how the organization uses LLM-based coding assistants and automated agentic workflows to compress the SDLC without compromising security or architectural integrity.
• Drive the adoption of Model Context Protocol (MCP) to bridge the gap between our cloud data silos and AI agents.
• Ensure that our internal tools and documentation are optimized to empower autonomous debugging and discovery.
• Implement Service Level Objectives (SLOs) and Error Budgets that balance the pace of innovation with high-availability requirements.
• Partner with Security teams to embed Zero Trust and Secure-by-Design principles.
• Ensure the platform meets global privacy standards (GDPR, CCPA) without sacrificing developer velocity.
• Champion the technical review process.
• Provide rigorous, ego-free feedback on high-impact designs, specifically evaluating how new services will interact with the broader AI-agent ecosystem and partner cloud integrations.

Skills, Knowledge & Expertise

• Deep proficiency in OAuth2, JWT, and Webhooks as they relate to secure partner authentication and event-driven architectures.
• Proven experience designing and scaling Cloud-to-Cloud (C2C) connectors and public-facing APIs.
• Understanding of the requirements for third-party ecosystem integration (e.g., Amazon Alexa, Google Home, and Apple HomeKit/Matter).
• Proficiency in leveraging AI-native development environments (e.g., Cursor, Claude, or GitHub Copilot) to achieve significant velocity gains on complex refactoring and architectural tasks.
• Ability to coach engineers on Prompt Engineering for Engineers—moving from simple chat to complex agentic workflows.
• Knowledge of MCP to facilitate seamless communication between AI models and local or remote data sources, ensuring agents have the necessary context to assist in system maintenance.
• Advanced understanding of CAP theorem, distributed locking, and eventual consistency in high-concurrency IoT environments.
• Deep hands-on experience with AWS, Azure, or GCP, specifically regarding Serverless, Container Orchestration (K8s), and Global Traffic Management.
• Ability to discern between "AI Hype" and genuine architectural value.
• Exceptional ability to distill complex technical designs into a concise executive summary.

The Sr. Staff Mindset

Ability to discern between "AI Hype" and genuine architectural value.

What You Bring On Day One

• 10+ years of relevant experience, with at least 2-3 years in a providing technical leadership across multiple related teams.
• Bachelor's Degree Required.
• Interoperability & Integration Standards: Deep proficiency in OAuth2, JWT, and Webhooks as they relate to secure partner authentication and event-driven architectures.
• Proven experience designing and scaling Cloud-to-Cloud (C2C) connectors and public-facing APIs.
• Understanding of the requirements for third-party ecosystem integration (e.g., Amazon Alexa, Google Home, and Apple HomeKit/Matter).
• AI Productivity Mastery: Proficiency in leveraging AI-native development environments (e.g., Cursor, Claude, or GitHub Copilot) to achieve significant velocity gains on complex refactoring and architectural tasks.
• Ability to coach engineers on Prompt Engineering for Engineers—moving from simple chat to complex agentic workflows.
• Knowledge of MCP to facilitate seamless communication between AI models and local or remote data sources, ensuring agents have the necessary context to assist in system maintenance.
• Distributed Systems Mastery: Advanced understanding of CAP theorem, distributed locking, and eventual consistency in high-concurrency IoT environments.
• Cloud Ecosystems: Deep hands-on experience with AWS, Azure, or GCP, specifically regarding Serverless, Container Orchestration (K8s), and Global Traffic Management.
• The Sr. Staff Mindset: Ability to discern between "AI Hype" and genuine architectural value.
• Experience managing Technical Debt, knowing when to automate legacy cleanup using AI.
• Exceptional ability to distill complex technical designs into a concise executive summary.

SmartThings Benefits

• Athletic facilities and amenities.
• Comprehensive health benefits, including medical, dental, vision, and mental health coverage.
• HSA with employer contribution.
• Life & disability insurance.
• FSAs for health and dependent care expenses.
• A competitive 401k with a 5% employer match.
• Unlimited PTO, 12 paid holidays, and a generous parental leave policy (8 weeks fully paid parental leave and 8 more fully paid weeks for childbirth recovery leave).
• Education reimbursement program.
• Access to learning resources through O'Reilly.
• Parking stipend to cover the monthly garage cost.
• EV chargers onsite.
• In-office catered lunches on Thursdays.
• Onsite gym.

Base Compensation Range

Base compensation range for this position is $165,000 to $235,000 annually. Actual base within this range will depend on many factors including experience, skills, technical expertise and market alignment.

Annual Target Bonus

This role is eligible for a 20% annual target bonus based heavily on individual performance.