Infrastructure & Automation Engineer

COMPANY BACKGROUND

Specter's mission is to help customers automate the physical world.

Today, we build video sensors with state-of-the-art AI agents that answer any question, anywhere in their environments. Our systems can automatically detect and reason about any physical activity captured on camera, from security incidents (e.g. perimeter intrusion, theft, LPR), to safety monitoring (e.g. PPE detection, injured people), to operational efficiency (e.g. material tracking, congestion monitoring). We offer both long range wireless (1km range) and wired sensor variants to suit any deployment.

We will soon release a drone that coordinates with our AI agents to automatically respond to safety and security incidents across customer properties.

THE ROLE

We’re hiring an Infrastructure & Automation Engineer to build the internal infrastructure that lets us develop, test, and deploy across our sensor fleet at speed. As we add hardware variants and scale the fleet, validating new hardware and pushing software to the field are becoming bottlenecks — this role exists to solve both with automation.

This is the proactive side of fleet operations: the test infrastructure, deploy orchestration, and tooling that prevent fires before they start. Early on, that means standing up reproducible test infrastructure and CI for our hardware variants so validating a new build or HW rev is automated and repeatable.

RESPONSIBILITIES

TEST INFRASTRUCTURE & CI — PRIMARY

• Build reproducible test infrastructure for our hardware variants: test rigs, fixtures, and hardware-in-the-loop setups that produce trustworthy, repeatable results.
• Stand up and own CI for firmware and software builds — every build and HW rev gets validated automatically before it goes anywhere.
• Partner with engineering and Test Ops to turn manual test plans into automated suites and speed up new HW variant bring-up.
• Be the team’s go-to for test setup — stand up benches and rigs on demand to meet engineering’s prototype and bring-up needs as new hardware shows up.
• Keep the internal dev and test fleet healthy and available — own the hardware the rest of the team builds and validates against.

DEPLOY & FLEET ORCHESTRATION

• Own the deploy methodology across the fleet: make OTA / software rollouts automated, observable, and rollback-capable so a bad push is a non-event, not an incident.
• Build the tooling and pre-deployment checks that catch problems before they reach devices.
• Improve tracking and visibility for deploys and fleet state — what version is where, what succeeded, what needs attention.

INTERNAL TOOLING & AUTOMATION

• Automate toil relentlessly — turn repetitive work like deployment tickets, debug handoffs, and fleet checks into code.
• Build internal tooling that makes the rest of engineering faster, and maintain it as real software — versioned, tested, documented.
• Instrument the systems you build so the team can make data-driven decisions about test and deploy reliability.

QUALIFICATIONS

• Strong scripting/programming for operational tooling — Python, Go, or Bash — and the instinct to automate rather than repeat.
• Hands-on CI/CD experience: building and maintaining pipelines, not just consuming them (GitHub Actions, GitLab CI, Jenkins, or similar).
• Solid Linux fundamentals — comfortable working over SSH in real environments, not just dev.
• Infrastructure-as-code and config management familiarity (Terraform, Ansible, or equivalent).
• Containerization experience (Docker; Kubernetes a plus).
• Networking fundamentals: DNS, firewalls, VPNs, subnets, secure remote access.
• Nice to have: experience across the hardware-software boundary — HIL test benches, firmware, embedded software, and reasoning about what’s happening below the OS.
• Cloud experience (AWS infrastructure, IAM, networking, observability tooling) is a plus for the deploy and tracking side.
• Bias toward shipping: you’d rather land a working tool today and iterate than design the perfect system for three months.