Senior Staff Software Engineer

Role Overview

• Collaborate with leadership to align the 2-3 year technical roadmap for cloud infrastructure.
• Lead the evolution of the SmartThings Schema and Cloud-to-Cloud (C2C) integration layers.
• Standardize the implementation for "AI-Augmented Engineering."
• Drive the adoption of Model Context Protocol (MCP) to bridge the gap between our cloud data silos and AI agents.
• Serve as the guardian of the system's blast radius.
• Partner with Security teams to embed Zero Trust and Secure-by-Design principles.
• Champion the technical review process.

Requirements

• 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.
• Model Context Protocol (MCP): 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.

Tech Stack

• AWS
• Azure
• Cloud
• Distributed Systems
• Google Cloud Platform
• IoT
• Kubernetes

Benefits

• We offer an attractive compensation package with comprehensive health benefits, including medical, dental, vision, and mental health; an HSA with employer contribution; life & disability insurance; FSAs for health and dependent care expenses; a competitive 401k with a 5% employer match, and more.
• All of our employees enjoy 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).
• Eligible employees benefit from our education reimbursement program, and all employees enjoy access to learning resources through O’Reilly.
• We offer a parking stipend to cover the monthly garage cost. EV chargers are also onsite.
• In-office catered lunches on Thursdays.
• Access to the onsite gym.