Edge IoT Systems Architect, Full-Stack Platforms

At Kform, you’ll be the bridge between the physical and digital worlds. As the Edge IoT Systems Architect for Full-Stack Platforms, you’ll shape how connected hardware, networks, compute, applications, data, and AI come together across our product lines and engineering environments.

A day in the life

You start by refining a system diagram for a new connected product—mapping how sensors talk to gateways, how edge computers route to servers, and how apps consume data across cloud, on‑prem, and disconnected sites. By mid‑morning, you’re configuring a managed Ethernet switch, separating traffic with VLANs, standing up DHCP/DNS, and tightening firewall rules. After lunch, you push updates to a Python service that orchestrates device provisioning, review a Rust PR for a reliability‑critical component, and ship a Type Script UI improvement for operational dashboards.

You wrap the day validating telemetry, updating deployment docs, and mentoring a teammate through a tricky integration test.

What you’ll ownEnd‑to‑end architecture for connected products, edge compute, IoT rollouts, prototypes, manufacturing lines, and test setups.

Configuration and administration of switches, routers, wireless, edge devices, servers, gateways, and related infrastructure.

Network blueprints: VLAN design, routing and addressing, DHCP/DNS, PoE, firewall policy, segmentation, and device connectivity.

System‑wide communication patterns connecting sensors, controllers, embedded devices, gateways, edge computers, servers, and applications.

Standards for provisioning, configuration, and lifecycle management of networked and deployed systems.

Full‑stack software across Python, Rust, JavaScript/Type Script, and other appropriate stacks.

Back‑end services, APIs, data processing pipelines, automation layers, device interfaces, and distributed services.

Front‑end tooling and UIs for configuration, monitoring, operations, and data visualization.

Interfaces spanning hardware, networks, edge platforms, databases, on‑prem or cloud infrastructure, and user‑facing applications.

High‑performance, systems‑level, and reliability‑critical services written in Rust where it fits best.

Python solutions for applications, automation, AI workflows, data engineering, integrations, and engineering tools.

AI‑enabled applications: model integration, AI agents, retrieval systems, structured extraction, reasoning workflows, and automated engineering processes.

Data pipelines linking devices and systems to databases, apps, analytics platforms, and AI services.

Architectures that function seamlessly across cloud, on‑premises, edge, and intermittently connected environments.

Containerized deployments and the developer environments that support them.

Automation for provisioning, deployment, configuration management, monitoring, and testing.

Hands‑on leadership troubleshooting across networking, hardware, OS, containers, APIs, databases, applications, and AI services.

Integration and validation testing to confirm end‑to‑end behavior of mixed hardware/software systems.

Operational observability—logging, monitoring, diagnostics, and telemetry for system health and root‑cause analysis.

Technical reviews of designs and configurations; guidance and feedback for peers.

Authoritative documentation: network and system diagrams, interface definitions, configuration standards, deployment runbooks, and software docs.

Cross‑disciplinary collaboration with mechanical, electrical, manufacturing, product, cybersecurity, software, and test teams.

Mentorship for junior engineers; help establish best practices across software, networking, IoT, AI, and systems integration.

Minimum qualifications BS in Computer Science, Computer/Software/Electrical Engineering, IT, or a related technical field;…