Remote Senior Software Developer Jobs in Seattle, WA

Corporate Systems Engineering builds and operates the software platforms, integrations, and automations that power Smartsheet's core business functions across Finance, Sales/GTM, and People & Culture.  Our team owns mission-critical systems and workflows that enable how the company hires, sells, bills, pays, reports, and scales. We operate at the intersection of software engineering, enterprise platforms, and business-critical data, treating internal systems with the same rigor, reliability, and product mindset as customer-facing software.

The Automation team builds human-to-system and system-to-system automations that reduce manual effort and friction across the business.  We combine cloud-native services, agentic AI, and workflow orchestration to enable employees to interact with enterprise systems through intelligent, secure, and auditable automation.

As a Senior Software Engineer I (Automation), you will lead the design, build, and operation of systems and workflows that directly support business execution at scale.  You will own complex technical initiatives, partner with Product Managers and stakeholders on technical roadmaps, and mentor junior engineers.

This full-time position reports to the Sr. Director, Development and can be located in our Bellevue, WA office, or you may work remotely from anywhere in the US where Smartsheet is a registered employer.

You Will:

• Architect AI Agents: Take a leading role in designing Agentic Workflows using AWS Step Functions and Bedrock Agents that reason through multi-step business problems.
• Standardize Context via MCP: Drive the implementation of the Model Context Protocol (MCP) across the org to unify how AI interacts with Smartsheet, CRM, and ERP data.
• Design Human-in-the-Loop: Own the end-to-end design of high-stakes automations where UiPath Action Center acts as the safety gate for AI-driven decisions.
• Optimize RAG Performance: Manage vector database indexing and retrieval strategies (e.g., chunking, embedding) to eliminate hallucinations in enterprise search.
• Collaborate Across Teams: Partner with the Integration & Application Engineering Teams to consume the REST APIs they build, transforming them into user-facing AI tools.
• Take part in and lead code reviews and architectural discussions, acting as a technical gatekeeper for code quality and system integrity.
• Forge a strong partnership with Product Management and business stakeholders to translate high-level business goals into technical roadmaps.
• Mentor & Elevate: Mentor junior/mid-level engineers on AI prompt engineering, MCP server development, and UiPath best practices
• Participate in a production support weekly rotation, taking ownership of complex issue resolution and driving root-cause analysis to improve system resiliency.
• Drive Agile/Scrum processes, helping to refine team velocity and ensuring the consistent delivery of high-impact features.

You Have:

• 5+ years of experience building highly scalable applications or enterprise-grade integration services.
• Advanced AWS Expertise:  Step Functions, EventBridge, and SQS/SNS for orchestrating complex, asynchronous logic.
• 5+ years of programming experience with modern languages such as Javascript(Node.JS) , or TypeScript , Python.
• AI Native: 1+ years of experience building AI features using Generative AI or Agentic workflows with a measurable business impact.
• MCP & Protocol Mastery: Deep knowledge of MCP, REST APIs, and modern authentication (OAuth) for secure data retrieval.
• UiPath Expertise: Expertise in UiPath Integration Service and Action Center to bridge the gap between AI and human reviewers
• Expertise in observability platforms (e.g., Datadog, CloudWatch) to proactively manage system health and lead troubleshooting and conducting root cause analysis for production-grade environments.
• Work autonomously leading development aspects within large projects, breaking tasks into accurate work breakdown plans and providing regular feedback to the product managers / project team
• A degree in Computer Science, Engineering, or a related field, or equivalent practical industry experience.
• Legally eligible to work in the U.S. on an ongoing basis