Poly)

SixGen, Inc.•Columbia, MD

1d•Onsite

About The Position

SIXGEN's mission is to deliver agile, mission-ready cybersecurity solutions that empower government and critical infrastructure organizations to stay ahead of advanced cyber threats. We combine innovation, deep expertise, and cutting-edge capabilities to uncover vulnerabilities, protect vital systems, and ensure operational superiority in an ever-evolving digital landscape. In this position, you’ll provide meaningful support to our customer’s missions and operations. You’ll work alongside a team of highly skilled operators who are dedicated to using innovative processes, tools, and techniques to get things done.

Requirements

Bachelor’s degree in a relevant technical field with 12 years of experience; Master’s degree in a relevant technical field with 10 years of experience
Advanced proficiency in DevOps principles and practice
Demonstrated expertise in containerization technologies such as Docker and Kubernetes
Proven experience architecting and managing CI/CD pipelines
Extensive experience with AI model lifecycle management and maintenance
Familiarity with cloud platforms (AWS, Microsoft Azure) for infrastructure deployment and management
Experience with monitoring and logging tools such as Prometheus, Grafana, and ELK stack
Strong communication and interpersonal skills with the ability to collaborate across cross-functional teams
Ability to translate complex technical concepts into actionable engineering solution
Active TS/SCI clearance with Poly

Nice To Haves

Experience with infrastructure as code (IaC) tools such as Terraform or Ansible
Understanding of machine learning concepts and their implications for infrastructure design
Continuous learning mindset to stay current with evolving DevOps and AI technologies

Responsibilities

Design, implement, and maintain robust and scalable infrastructure for enterprise AI applications in cloud environments (AWS, Microsoft Azure)
Develop and optimize engineering workflows and processes to support AI model development, deployment, and maintenance
Architect and manage CI/CD pipelines for continuous integration and delivery of AI models and application
Implement and manage containerization solutions using technologies such as Docker and Kubernete
Ensure efficient AI model lifecycle management, including versioning, monitoring, and scaling
Collaborate with AI/ML engineers and data scientists to streamline deployment processes and optimize resource utilization
Oversee system performance, security, and scalability of AI infrastructure
Continuously research and implement new DevOps tools and practices to improve efficiency and reliability

Benefits

Employer-paid health insurance premiums (medical, dental, vision) for you and your family
Employer-paid short/long term disability insurance and basic life/AD&D insurance
401K with a 4% employer contribution
Professional development reimbursement options available (training, certification, education, etc)
Flexible PTO and holiday schedule

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume