DevOps / ML-Ops Engineer

DeepSig, Inc

$110K — $130K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • US citizenship required for compliance with processing and contract needs
  • Hands-on experience with source code management and CI/CD tools including AWS and Docker
  • Proficiency in modern Linux systems and automation scripting (BASH, Python)
  • Knowledge of networking configurations including firewalls and VLANs
  • Experience provisioning and structuring hardware for optimization.

Responsibilities

  • Architect infrastructure to support engineering and QA teams and commercial clients
  • Manage the lifecycle of production systems ensuring operational availability
  • Optimize CI/CD and compute infrastructure in collaboration with engineering teams
  • Identify and resolve performance bottlenecks in systems
  • Develop strategies for enhancing on-premise and cloud capabilities.

Benefits

  • Full-time onsite/hybrid work model
  • Opportunity to contribute to 5G and FutureG initiatives
  • Involvement in strategic product lines
  • Collaboration with engineering and QA teams
  • Hands-on role in both system architecture and operational maintenance.
Full Job Description
Job Type

Full-time

Description

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

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.
  • 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.


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