DevOps Engineer
DevOps Engineer at DeepSig (on-site/hybrid in Arlington, VA) who architects and runs CI/CD, CPU/GPU compute, and ML infrastructure supporting the company's AI-driven wireless/5G products. Daily work spans AWS and GitLab pipelines, Linux systems, networking, and hardware provisioning.
- Compensation
- $110K–$170K / yr
- Location
- Arlington, VA
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Contract
- Experience
- Not specified
- Category
- Devops
- Posted
Skills
Must have
- US work authorization via US citizenship to meet information processing and contract requirements
- Hands-on experience with source code repositories, CI/CD, artifact/package storage, and compute infrastructure using tools such as AWS, GitLab, MinIO, Nexus, Conan, PyPI, Docker, Slurm, MLFlow, Optuna
- Experience with modern Ubuntu/Debian Linux, containerization, virtualization, backup solutions, and automation with scripting languages such as BASH and Python
- Experience with networking including firewall, VLAN, and network configuration tools
- Demonstrated ability provisioning hardware and information systems and doing system engineering to define new hardware/compute requirements
Nice to have
- Experience achieving and maintaining compliance with cyber security standards such as SSDF
- Hands-on experience optimizing CI jobs and infrastructure, especially GitLab
- Experience with build systems, especially CMake
- Experience or strong enthusiasm for AI/ML, high-performance computing, SIGINT, SDR, FPGA, or wireless technology
Full 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, compute resources (CPU/GPU), and job orchestration.
- Engineering and Operations: Manage the full lifecycle of production systems, from initial system development and deployment to ongoing operation and maintenance ensuring availability requirements. Includes specifying, procuring, and provisioning hardware 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 processing and contract requirements
- Hands-on experience developing, deploying and ongoing management of source code repositories, CI/CD infrastructure, artifact and 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, and automation 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.