Solutions Engineering

Solutions Engineering

Job type:
Full Time
· Department:
Solutions Engineering
· Work type:
On‑Site

San Mateo, California, United States

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 should be comfortable in front of customers — translating requirements, walking through architectures, and presenting results — while also being the person who writes the code, deploys the system, and makes it work in production. You communicate clearly, document effectively, and take ownership from concept through deployment.

• 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, Rabbit
  
  MQ, 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.

• 5+ years professional software engineering experience across client and server environments.

• Strong proficiency in Type Script 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).

• 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.

• 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.