Senior Platform DevOps Engineer
Job Description
Our team is standing up an AI Enterprise capability — the central hub that mission teams turn to when they want to move an AI solution from prototype to a secure, governed, enterprise-scale service. As a Senior Platform / DevOps Engineer on this team, you will build and run the infrastructure, pipelines, and control-plane guardrails that let the command adopt AI safely and at scale, with significant, visible impact on the mission.
What You'll Be Doing:
- Provide embedded operations support, capability integration, and rapid prototyping for AI-enabled tools in support of our customer.
- Design, implement, and maintain robust infrastructure for enterprise AI applications in cloud environments (AWS, Microsoft Azure) and on-prem/air-gapped/classified environments.
- Develop and optimize engineering workflows and processes to support AI model and agent development, deployment, and maintenance.
- Architect and manage CI/CD pipelines for continuous integration and continuous delivery of AI models, agents, and applications.
- Implement and manage containerization and orchestration solutions using Docker and Kubernetes, and build and maintain control-plane guardrails — identity, policy enforcement, approvals, audit/logging, and observability.
- Ensure efficient AI model and agent 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, and support security accreditation (RMF/ATO) of AI systems.
- Continuously research and implement new DevOps tools and practices to enhance efficiency.
Basic Qualifications
- Bachelor's degree in a relevant technical field with 10+ years of experience, or Master's degree in a relevant technical field with 8+ years of experience
- Advanced proficiency in DevOps principles and practices
- Demonstrated expertise in containerization using Docker and Kubernetes
- Proven experience in architecting and managing CI/CD pipelines
- Extensive experience with AI model lifecycle management and maintenance
- Active TS/SCI clearance w/ Poly
Preferred Skills
- Familiarity with cloud platforms (AWS, Microsoft Azure) for infrastructure deployment and management
- Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack)
- Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams
- Experience with infrastructure as code (IaC) tools (e.g., Terraform, Ansible)
- Understanding of machine learning concepts and their implications for infrastructure; continuous learning mindset to stay abreast of cutting-edge DevOps and AI advancements
- Happy - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.
- Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.
- Honest - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.
- Humble - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task.
- Hungry - Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges.
- Hustle - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success.
Skills
As published by lever · 22 questions · 5 written answers
Basics
Resume/CV, Full name, Email, Phone, Current location, Current company
Short answers (2)
- What is your full street address? (Street, City, State, Zip)
- What is your desired salary?
Pick from a list (14)
- Do you have a Department of Defense (DOD) Recognized Security Clearance?
- What level of DOD clearance do you have?
- Are you authorized to work in the United States?
- Will you now or in the future require sponsorship for employment visa status (e.g., H-1B visa status)?
- Are you open to relocating for this position, or another position with Agile Defense?
- Are you a current employee of Agile Defense or any of its subsidiaries, affiliates, or acquired companies?
- Have you ever been employed by Agile Defense or any of its subsidiaries, affiliates, or acquired companies?
- How did you hear about us?
- Do you have a higher education degree?
- What is your highest level of education?
- Do you have any active industry related certifications?
- Are you a current or former U.S. Government employee or U.S. armed forces?
- Are you currently subject to any post-employment obligations from a current or former employer that could restrict your ability to perform this role if hired?
- I certify that the information provided is accurate to the best of my knowledge and understand that additional details may be requested later in the hiring process.
Written answers (5)
- If you were referred, please list the referrer's name and any other details here: optional
- What active industry related certifications do you have?
- If yes, please briefly describe the type of obligation and its duration (you may exclude employer names and confidential terms). If no, please respond with "N/A".
- If hired, would you have any ongoing outside employment, consulting, or business activities that could conflict with this role or the company’s interests?
- If yes, please briefly describe. If no, please respond with "N/A".
Attachments (1)
- Please upload a copy of your certification(s) if applicable optional