Cloud Infrastructure & AI Operations Engineer (On-Site Only

About Pioneer Circuits

Since its establishment in 1981, Pioneer Circuits has been leading the way in technology solutions for mission-critical systems. As the leading, privately held U.S. manufacturer of innovative high-performance flexible circuit boards, we are dedicated to the design, production, and assembly of advanced printed circuit board assembly (PCBAs) technology solutions.

Since its establishment in 1981, Pioneer Circuits has been leading the way in technology solutions for mission-critical systems. As the leading, privately held U.S. manufacturer of innovative high-performance flexible circuit boards, we are dedicated to the design, production, and assembly of advanced printed circuit board assembly (PCBAs) technology solutions.

We develop cutting-edge solutions that explore new frontiers, serve and protect our armed forces and allies, safeguard national security against evolving threats, and propel advancements in hypersonic technology.

Our customers include some of the largest aerospace and defense companies like RTX, Lockheed Martin, GE Aerospace, NASA, JPL, Northrop Grumman, and Boeing.

We are building the cloud and data backbone for a manufacturing floor that is becoming genuinely intelligent - AI-driven scheduling, computer-vision inspection, digital work orders, and a unified data layer running in AWS Gov Cloud. This role builds and runs that infrastructure.

This is a hands-on engineering role, not a systems administration role. You will make architecture and / or tooling decisions, write infrastructure as code, build pipelines, instrument systems so they explain themselves, and work directly alongside our AI and Automation engineers to get models and services into production inside a regulated environment.

We are deliberately open on years of experience, with one exception: you need to have worked in AWS. Everything we are building runs there, and we are not in a position to teach the platform from scratch. Beyond that, we would rather hire a sharp engineer with strong fundamentals, real automation instincts, and obvious momentum than someone with a longer resume and less curiosity.

If you have provisioned AWS with Terraform, shipped through CI/CD, containerized an application, and wired up an AI-powered tool because you wanted to see if it would work - you are the profile we are looking for. Defense and compliance experience is something we will teach you.

• Build and maintain infrastructure as code using Terraform (or Cloud Formation/CDK) so environments are repeatable, reviewable, and version-controlled
• Write automation in Python, Bash, or Power Shell to remove manual steps and speed up recurring work
• Build and maintain CI/CD pipelines for infrastructure and application deployment using Git Lab CI.
• Apply configuration management at scale using Ansible, AWS Systems Manager, or similar tooling

• Design, deploy, and operate secure cloud environments across AWS Gov Cloud and Microsoft 365 GCC High, supporting containerized applications and serverless architectures
• Package and run containerized services using Docker, growing into orchestration on ECS or EKS
• Build with managed and serverless services
  - Lambda, S3, API Gateway, Step Functions - rather than standing up servers by default
• Partner with our AI engineers to deploy and operate AI/ML and LLM-backed workloads, including inference endpoints, data pipelines, and retrieval systems

• Deploy centralized logging, distributed tracing, and real-time monitoring across hybrid cloud and on-premise environments using Cloud Watch, or similar platforms
• Automate monitoring configuration and alerting as code so observability ships with the infrastructure rather than after it
• Track and alert on cloud cost and usage changes, and surface optimization opportunities to engineering leadership
• Use AI-assisted anomaly detection and log analysis to find problems before they reach the floor, and grow into defining SLIs, SLOs, and error budgets for critical systems