DevOps / ML-Ops Engineer

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

Description

Type: Full-Time(W2) On-site/Hybrid, Arlington, VA

DeepSig is defining the future of wireless communications by merging deep learning with the Radio Access Network (RAN). We are seeking an experienced DevOps Engineer to work with engineering and QA teams to automate and optimize software and ML model development and validation, supporting existing and upcoming product lines, web applications, and strategic initiatives in 5G and “FutureG” programs.

In this role, you will be a key contributor to expanding DevOps capabilities as our organization grows. Your responsibilities will include research, design, development, procurement, provisioning, maintenance, and optimization of DevOps systems leveraging a mix of on-premise and cloud infrastructure.

What You’ll be Doing:

• System Architecture: Architect infrastructure to support the needs of internal engineering/QA teams, as well as commercial and DoD partners. Develop a plan to extend infrastructure both on-premise and in the cloud. Includes CI/CD, data storage, computeresources (CPU/GPU), and job orchestration.
• Engineering and Operations: Manage the full lifecycle of production systems, from initial system development and deploymentto ongoing operation and maintenance ensuring availability requirements. Includes specifying, procuring, and provisioninghardware as necessary.
• Optimization: Optimize the utilization of CI/CD and compute infrastructure in collaboration with engineering and QA teams.Identify and address performance bottlenecks.

What we need to see:

• Candidates must be authorized to work in the United States by US citizenship to meet certain information processingand contract requirements
• Hands-on experience developing, deploying and ongoing management of source code repositories, CI/CD infrastructure, artifactand package storage, and compute infrastructure with tools such as: AWS, GitLab, MinIO, Nexus, Conan, PyPI, Docker, Slurm,MLFlow, Optuna, Prometheus, Grafana, Terraform
• Experience with modern Ubuntu/Debian Linux, containerization services, virtualization technologies, backup solutions, andautomation using scripting languages such as: BASH, Python
• Experience in networking and dealing with firewall, VLAN and network configuration tools
• A demonstrated ability in provisioning hardware and information systems and helping do system engineering to help define new hardware and computing system requirements

What we would like to see:

• Experience achieving and maintaining compliance with cyber security standards such as SSDF.
• Hand-on experience optimizing CI jobs and infrastructure, especially GitLab.
• Experience with build systems, especially CMake.
• This opportunity is ideal if you possess experience in or a strong enthusiasm for AI/ML, high-performance computing, SIGINT,SDR, FPGA, or wireless technology.

Working at DeepSig

DeepSig is growing its technical team while cultivating a collaborative, agile, and fun small-team culture. We value creativity, knowledge sharing, and employee growth, and we encourage participation in scientific publications, conferences, and open-source software. We offer competitive salaries and benefits, an employee stock option grant program, an environment where we are excited to be transforming and disrupting how signal processing is done with AI/ML, a welcoming and inclusive environment, a flexible schedule, and a great work / life balance.

DeepSig is an equal-opportunity employer and does not discriminate based on race, ethnicity, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability. We are dedicated to cultivating an inclusive, diverse, and engaging workplace where individuals feel fulfilled, inspired, and motivated. We value the unique perspectives that our team brings.