ConductorAI

DevOps Engineer at ConductorAI (Washington, DC)

ConductorAI· Washington, DC·

Role details

Work type
Hybrid
Employment
Full-Time

Job description

INTRODUCTION

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

WHAT WE OFFER

  • The ability to have real impact on mission-critical workflows
  • The chance to use state-of-the-art tech to solve novel problems with mission partners
  • The opportunity to define your role through time as we grow
  • Competitive salary and equity upside with annual merit refreshes based on impact

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, adding and optimizing services to our core platform and our tooling stack, 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. You'll help drive our system's numerous accreditations, including FedRAMP, IL5, IL6, and beyond. You'll help diagnose and fix technical issues resulting from the rapidly increasing scale of data and usage on our platform.

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

  • 2+ years as an individual contributor DevOps engineer (or similar position)
  • Experience collaborating with other engineers
  • 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 $180K-$230K 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, and performance in the interview process.

Why work at ConductorAI

  • Culture highlight: Mission-driven, early-stage startup focused on making a tangible impact on national security and government efficiency. Described as “building on the cutting edge of AI-powered decision making for Defense, Intelligence, USG Civilian, and Commercial customers.”
  • Remote/hybrid policy: Remote-first company operating on East Coast hours with a hub in NYC; hybrid presence in Washington, DC. Open positions are listed as hybrid (NY, DC, or Maine) and some remote.
  • Notable perks/engineering culture: Equity is offered; salary ranges for engineering roles from $150K–$220K. Engineering team works on microservice architecture, multiple LLM integrations, and high-security deployments. Teams are small (16 people) with high autonomy and close collaboration with founders.

Application questions