ML‑Ops / DevOps Engineer — Hybrid (Arlington)

DeepSig, Inc.; Arlington (VA); Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Employee stock option program

Flexible schedule

Work-life balance

Job summary

DeepSig, Inc. is seeking an experienced DevOps Engineer in Arlington, VA to design, build, and operate scalable CI/CD and infrastructure for AI/ML-enabled wireless projects.

You will partner with engineering and QA to automate workflows across on-premise and cloud environments, ensuring high availability and compliance. Your work will span architecture, provisioning, and optimization of compute resources, data storage, and job orchestration, while supporting DoD and commercial initiatives in 5G

Qualifications

• Authorized to work in the United States (US citizenship or approved work status).
• Experience deploying and operating CI/CD, artifact storage, and compute infrastructure with AWS, GitLab, Docker, and related tools.
• Proficient in Linux (Ubuntu/Debian), virtualization, networking, and scripting (Python/Bash).
• Ability to provision hardware and define hardware/software requirements for DoD or partner work.

Responsibilities

• Architect infrastructure to support engineers and QA, extending on-premise and cloud environments.
• Manage full lifecycle of production systems from development to maintenance and upgrades.
• Optimize CI/CD and compute infrastructure to remove bottlenecks and improve performance.

Skills

CI/CD

Linux

Networking

Scripting

Tools

AWS

GitLab

MinIO

Nexus

Conan

PyPI

Docker

Slurm

MLFlow

Optuna

Prometheus

Grafana

Terraform

Python

Bash

Job description

DeepSig, Inc. is seeking an experienced DevOps Engineer in Arlington, VA to design, build, and operate scalable CI/CD and infrastructure for AI/ML-enabled wireless projects.

You will partner with engineering and QA to automate workflows across on-premise and cloud environments, ensuring high availability and compliance. Your work will span architecture, provisioning, and optimization of compute resources, data storage, and job orchestration, while supporting DoD and commercial initiatives in 5G