Systems Engineer
Location: in MD - 15 mins. from DC

What you'll get to do

• Conceptualize and architect the details of delivery to customers, including:
  • use-case architecture
  • queries
  • data schema
  • documentation
  • other requirements
• Engage with strategic partners to architect integrated product solutions and features
• Lead and develop lightweight customer validation exercises to include deploying ZeroReveal using Ansible.
• Provide an authoritative voice to represent Enveil’s engineering thought process and domain expertise for delivery and sales motions
  • Decompose customer requirements into necessary engineering tasks and work with engineering to plan tickets to implement meet those tasks
  • Be a customer advocate: drive customer feedback into support and engineering
  • Help transition products and features from Engineering to Sales
  • Help field technical customer questions with the Sales team.
• Be a technical voice of the Enveil, representing Enveil to customers and customers to the engineering team

What you need to be successful

• Must be a US Citizen
• An active TS//SCI security clearance with a full scope polygraph
• 5+ years experience as a Systems Engineer, Solutions Architect, and/or DevOps engineer
• B.S. or higher degree in Computer Science or otherEngineering fields
• Willingness to travel - 25% of the time (Local travel in the Washington Metro area, CONUS, and OCONUS)
• Willingness to work in a SCIF as needed to meet with customers and satisfy delivery requirements (25 - 50%)
• Strong communication skills, both written and verbal. Willingness to work on a highly collaborative team, think on your feet, and handle live customer calls.
• Desire and ability to learn new technical skills, quickly and constantly
• Familiarity or experience with diverse technical topics including: 
  • Query languages
  • Data storage technologies/ database design
  • Cloud DevOps and Cloud services (for example: Ansible, Terraform, CloudFormation; AWS, GCP, Azure, etc.)
  • Designing system architecture
  • Linux system administration
  • Software languages such as Java and/or Python
  • Machine learning
  • Security architecture and Security-oriented software development (especially on Linux)
  • ETL on distributed systems (Spark, Hadoop, etc.)