Machine Lifecycle Automation Engineer

Career Techniques; New York (NY); Hybrid; USD 150,000 - 250,000; Full time

Job summary

Career Techniques seeks an automation-focused engineer to own the journey of every fleet machine—from rack to production. You will design a GitOps-driven pipeline handling discovery, firmware, BIOS, OS install, and health validation, with out-of-band management and unattended provisioning.

You will replace manual runbooks with code in Python and Ansible, validating changes through CI/CD and automated burn‑in before production handoff.

Qualifications

• Curious engineer who learns fast and loves automating physical infrastructure end to end.
• Strong Python for building automation, tooling, and services, not just scripts.
• Hands-on Ansible experience: writing playbooks and roles you’d code-review, not just run.
• Solid grasp of CI/CD: pipelines, testing, staged rollouts, version control discipline.

Responsibilities

• Design end-to-end machine lifecycle pipeline: power-on, network boot, OS install, validation, and production handoff.
• Automate hardware bring-up via out-of-band management (BMC, Redfish, IPMI): firmware updates, BIOS, boot order, inventory.
• Automate OS provisioning with network boot (PXE/UEFI) and unattended install.
• Write and maintain Ansible and Python to configure machines into final roles as code.
• Apply GitOps and CI/CD: desired state in Git, merge requests, pipelines, drift reconciliation.
• Build automated validation and burn-in: health checks, stress tests, acceptance criteria before users see it.
• Model lifecycle as a state machine with clear automated transitions and auditable history.
• Instrument the pipeline with metrics and logging to track progress and bottlenecks.
• Collaborate with HPC/datacenter teams to codify operational knowledge into automation.

Skills

Python automation

CI/CD

GitOps mindset

Linux

Communication

Tools

Ansible

Job description

Career Techniques seeks an automation-focused engineer to own the journey of every fleet machine—from rack to production. You will design a GitOps-driven pipeline handling discovery, firmware, BIOS, OS install, and health validation, with out-of-band management and unattended provisioning.

You will replace manual runbooks with code in Python and Ansible, validating changes through CI/CD and automated burn‑in before production handoff.