Senior Staff Software Engineer

SmartThings

Senior Staff Software Engineer driving technical excellence across cloud organization for leading IoT ecosystem, SmartThings. Collaborating on technical roadmap and ensuring integration across external ecosystems.

Posted 4/17/2026full-timeMinneapolis • Minnesota • 🇺🇸 United StatesSenior💰 $165,000 - $235,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsGoogle Cloud PlatformIoTKubernetes

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

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.

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Hard Skills & Tools

cloud infrastructureAI-Augmented EngineeringModel Context Protocol (MCP)OAuth2JWTWebhooksCloud-to-Cloud (C2C) connectorspublic-facing APIsAI-native development environmentsdistributed systems

Soft Skills

technical leadershipcoachingcommunicationcollaborationproblem-solvingexecutive summary distillationstrategic thinkingadaptabilitycritical thinkingmentorship

Certifications

Bachelor's Degree