Citizenship Required - Ability to Obtain ClearanceCitizenship Requirements: US Citizenship required.
Clearance Requirements: This position may require a security clearance in the future. Applicants must be able to obtain a U.S. Security Clearance.
Position Responsibilities: The JOB TITLE: The Lead Cloud Engineer possesses infrastructure and software engineering expertise that will be working with the cloud and product teams in deploying hybrid cloud services, experience, using infrastructure as code, containers, CI/CD pipelines, reusable frameworks, and automated workflows. As a veteran leader leading fast agile cloud-based purpose-built deployments, you will also participate in architecture and design discussions on building a secure cloud platform that will run using a SASE model that extends out to branch networks across the globe. Furthermore, you will also be the anchor piece for our site reliability engineering team in support of this scalable and secure hybrid cloud deployment.
- Help establish a SASE hybrid cloud architecture that will connect AWS, Azure, VMware, and distributed edge compute infrastructure to handle disparate AI/ML workloads
- Help build fully automated, secure, and fungible infrastructure consisting of containers and VMs for dev, engineering, product, and operations teams
- Ensure the cloud has the appropriate security controls to protect the company's IP while managing cost controls
Required Skills & Abilities: - At least 1 cloud certification (but must have a comfortable working knowledge of both AWS and Azure).
- VMware, Debian Linux, Windows, Kubernetes
- CI/CD Pipelines
- Tools & automation
- Hybrid Cloud-based networking and network security (eg SDWAN, WAF, CSG)
Education & Experience: - Bachelor's Degree in Computer Science or Software Engineering or related field
- 10+ years of experience in Information Technology
- 5+ years Cloud Engineering experience working within multiple cloud platforms
- Experience with building software factories that house DevSecOps
Preferred Qualifications: - Experience supporting embedded Linux systems
- Experience in minimizing and securing Linux systems, VMs, Containers and Azure/AWS VPCs in production
- Experience in helping to implement MLOps and other AI/ML compute platforms is a plus
- Experience with OpenNebula
Office Location: Clarksburg, MD
Tele-work Opportunities: - Hybrid (1 day/week remote, 2 days/week remote, etc.) after on-site training
Travel Requirements: - Domestic and international travel may be required (10%)
Benefits: Robotic Research is excited to offer the following benefits:
- Company holidays
- Flexible work schedules
- Paid time off
- Competitive medical, dental & vision plans
- 401k contribution plan with up to 4% match
- Employer paid short-term & long-term disability insurance
- Employer paid life insurance
- Voluntary life insurance
- Relocation reimbursement for qualifying situations
- Dog Friendly Office!
- Tuition reimbursement
- Discretional annual bonus and profit sharing
- Employee assistance program
All benefits are subject to change. Please discuss with a member of the Robotic Research HR team for details.
