DevOps Engineer (Cleared)

ConductorAI

$180K — $240K *
Aerospace & Defense
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • US DoD security clearance - minimum Secret
  • 4+ years as a DevOps engineer in high-stakes environments
  • Experience leading and collaborating with engineers
  • On-site experience outlining infrastructure requirements
  • Strong written and verbal communication skills
  • Proactive mindset with initiative for problem-solving
  • Strong experience with Docker, Kubernetes, Helm, and CI/CD
  • Experience in multi-cloud software deployment
  • Knowledge of cybersecurity principles, specifically FedRAMP and NIST 800-53
  • Experience with LLMs is a plus

Responsibilities

  • Design and maintain a system architecture for multiple AI models
  • Deploy software to classified environments, including on-site work
  • Write and improve Dockerfiles for efficient and secure images
  • Develop and enhance Helm charts for Kubernetes deployments
  • Improve GitHub actions CI/CD processes for application updates
  • Assist with technical decisions for compliance with FedRAMP and other standards
  • Contribute to company strategy and culture as a core team member

Benefits

  • Opportunity to shape code deployment in sensitive environments
  • Possibility of working on high-stakes projects with classified clients
  • Engagement in a small, tight-knit technical team
  • Chance to influence architecture and processes during company growth
  • Contribution to diverse responsibilities as the company evolves
Full Job Description
Introduction

We value candidates who have significant experience with managing complexity, working independently, and are motivated by hard problems.

Position Overview

You'll help build and deploy different configurations of our application into a variety of environments, including numerous air-gapped classified networks. You'll contribute to defining and improving our system architecture, building out CI/CD pipelines, writing and improving Helm charts, and informing our deployment strategy. You'll have an opportunity to shape how we ship code into highly sensitive environments, and to confront interesting infrastructure problems around deploying LLMs and other large models efficiently and robustly. You'll help drive our system's numerous accreditations, including FedRAMP, IL5, IL6, and beyond.

We are seeking an engineer with a generalist skillset and attitude, strong communication skills, and a willingness and ability to take ownership of hard problems. You'll be working on a small tight knit technical team, with the opportunity to help define and mature our architecture and processes as we grow.

Key Responsibilities
  • Design and maintain the architecture of a system with multiple AI models, a set of backend APIs, and a frontend web application
  • Work with partners to deploy our software to classified customer environments, including going on-site as needed
  • Docker: Help write and improve the Dockerfiles of the various pieces of our system, to build efficient and hardened docker images with minimal CVEs.
  • Kubernetes: Help write and improve our Helm charts that define our deployments into a variety of different Kubernetes clusters, including those backed by cloud infrastructure as well as on-prem.
  • CI/CD: Help improve our Github actions CI/CD processes to make updates to our application and its dependencies as painless and robust as possible.
  • System Accreditation: Help us make technical decisions to enable continued compliance with a variety of standards, such as FedRAMP.
  • Strategy and Culture: As a core member of our team, contribute to company strategy, nurture and shape our growing culture, and take on diverse responsibilities as we evolve.
Qualifications
  • US DoD security clearance - minimum Secret
  • 4+ years as an individual contributor DevOps engineer in high-stakes customer or company environment
  • Experience leading and collaborating with other engineers
  • On-site experience with senior customer stakeholders to outline infrastructure requirements and deploy software
  • Strong communication skills, both written and verbal
  • Proactive mindset, with a knack for identifying opportunities and taking initiative
  • Strong experience with Docker, Kubernetes, Helm, and CI/CD
  • Strong experience with system design and strategy, including multi-cloud software deployment
  • Knowledge of cybersecurity principles/best practices, especially FedRAMP and NIST 800-53
  • Experience with LLMs is a plus

The base salary range for this role is between $180K-$240K with the opportunity for significant equity. However, this is just an estimate - starting pay will be based on a number of factors, including qualifications & experience.

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