Cloud / DevOps Engineer

Johns Hopkins Applied Physics Laboratory • Laurel, MD

19h

About The Position

Are you passionate about building solutions for our greatest national security challenges? Are you searching for engaging Machine Learning and Developer Operations work with an employer that prioritizes impact, innovation, and personal development? Do you enjoy experimenting with ground-breaking software, hardware, and AI capabilities? If so, we're looking for someone like you to join our team at APL! We are seeking Cloud and DevOps Engineers to help us build innovative solutions for challenges in national defense and healthcare. Our group is looking for talented individuals who can work as part of a team to assist with the basic day to day functions of implementation, maintenance, and lifecycle of software and hardware for our multitude of highly impactful projects. You will combine infrastructure engineering expertise with the latest DevOps technology to support projects end-to-end, collaborating with fellow team members to facilitate impactful solutions. As a Cloud and DevOps Engineer, you will support a wide variety of R&D projects and systems to ensure critical needs are met by providing DevOps expertise, as well as architect and build system solutions on cloud or on-prem infrastructure. Work with sponsors and end users in defense, intelligence, or healthcare organizations to understand their operations and identify requirements. Stay abreast of industry and practices standards to ensure software and hardware maintainability. Explore promising new research areas and maintain/gain technical edge required for projects. Share approaches and methods. Establish relationships across organizational boundaries to increase collaboration.

Requirements

• Possess a B.S. in Computer Science, Engineering, Mathematics, Cybersecurity, or other relevant technical field.
• Possess a minimum of 3 years of experience developing software using Python, C#, Java, or similar software tools
• Possess hands-on experience deploying systems to AWS, GKE, or Azure
• Possess hands-on experience in any of the following technologies: Docker, Kubernetes, hypervisor software (Vmware ESXi, Proxmox, etc.), CI/CD software (Terraform, ArgoCD, Jenkins, Ansible, etc.), Powershell, Windows / Linux Server administration
• Possess experience working successfully within a team environment
• Possess excellent written and verbal communication skills
• Hold an active Top Secret level clearance, and can ultimately obtain a TS/SCI level security clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

Nice To Haves

• Possess a Master's degree or higher in Computer Science, Engineering, Cybersecurity, Mathematics or relevant technical field
• Possess experience scaling a microservices app or converting a monolithic app to micro services
• Possess experience with LLM deployment and management software like vLLM, Llama.cpp, LiteLLM, Triton, etc.
• Possess experience with data storage systems like MinIO or similar
• Possess familiarity with MLOps and workflow orchestration tech stacks like Prefect, MLFlow, AirFlow, etc.
• Possess experience in any of the following technologies: VMware Ecosystem (ESXi, vSAN)
• Networking Certs: CCNA, CCSP, CEH, CISM, CISSP, or others
• Specific Kubernetes distribution stacks (Rancher/RKE2, OpenShift, vCluster)

Responsibilities

• Support a wide variety of R&D projects and systems to ensure critical needs are met by providing DevOps expertise, as well as architect and build system solutions on cloud or on-prem infrastructure
• Work with sponsors and end users in defense, intelligence, or healthcare organizations to understand their operations and identify requirements
• Stay abreast of industry and practices standards to ensure software and hardware maintainability
• Explore promising new research areas and maintain/gain technical edge required for projects. Share approaches and methods
• Establish relationships across organizational boundaries to increase collaboration.

Benefits

• robust education assistance program
• unparalleled retirement contributions
• healthy work/life balance
• retirement plans
• paid time off
• medical
• dental
• vision
• life insurance
• short-term disability
• long-term disability
• flexible spending accounts
• education assistance
• training and development
• sign-on bonus
• relocation benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level