Staff Solutions Engineer

About the role

We're looking for a highly motivated Solutions Engineer to join our Solutions organization, reporting to the Head of Solutions Engineering. This is a customer-facing, hands-on builder role: you'll work directly with customers to scope, design, and deliver production solutions on top of the Archetype AI platform — from initial discovery through deployment. You'll partner with Sales and Product on early customer engagements, then own the technical execution: building applications, integrations, and pipelines in real customer environments. This is a generalist role spanning the full stack, and we're especially interested in engineers who have shipped solutions end-to-end from edge devices to the cloud.

Core Responsibilities

• Partner directly with customers to understand requirements, scope solutions, and deliver production deployments across predictive maintenance, safety, and industrial IoT use cases.
• Lead technical discovery, architecture discussions, demos, and proof-of-concept builds with customers and prospects.
• Design and build full-stack applications and integrations that solve real customer problems, from prototype through production hand-off.
• Build and maintain backend services, APIs, and data flows that power real-time visualization and analytics in customer environments.
• Extend our plugin architecture (primarily backend, with frontend contributions as needed) following established design patterns.
• Implement protocol-level integrations: REST APIs, IoT connectivity (MQTT, OPC-UA, Modbus), streaming video (RTSP), and multi-sensor data flows.
• Contribute to edge-side software where needed: sensor ingestion, buffering, on-device processing, and reliable transmission to the cloud.
• Develop and manage data processing pipelines with messaging systems (Kafka, RabbitMQ, or similar).
• Support reliable delivery into customer environments through CI/CD, Kubernetes/Docker deployments, and infrastructure-as-code.
• Apply best engineering practices: testing, observability, versioning, and maintainability.
• Produce customer-facing technical documentation, runbooks, and internal templates that make successful deployments repeatable.

Required Qualifications

• 5+ years professional software engineering experience across client and server environments.
• Strong proficiency in TypeScript and Python, plus working proficiency in Rust or C++.
• Demonstrated experience designing and implementing scalable APIs, services, and integrations used by other engineers or applications.
• Experience developing within modular, plugin-based architectures with clear separation of concerns and well-defined interfaces.
• Experience with real-time or streaming data processing under latency and throughput constraints.
• Experience with Kafka or other messaging protocols and building data processing pipelines.
• Experience with communication protocols: REST APIs, IoT (MQTT, OPC-UA, Modbus), and video streaming (RTSP).

Preferred Qualifications

• Experience developing and deploying software on resource-constrained Linux devices, with familiarity with system-level concerns such as resource usage, process management, and I/O.
• Experience taking solutions end-to-end, all the way to edge device deployments and launching cloud services in production.
• Startup or consulting experience.
• Experience with CI/CD pipelines, Kubernetes/Docker deployments, and infrastructure-as-code.
• Familiarity with front-end frameworks (Svelte, React, Tailwind) and data visualization libraries (e.g., D3.js, Recharts, Plotly) for building customer-facing demos.
• Experience building frameworks, SDKs, or internal developer tools that scale across teams.
• Background in industrial IoT, predictive maintenance, or safety/security applications.
• Familiarity with real-time data visualization and applied AI/ML.

Travel Expectation

Open to stints of 1+ months of travel.