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Mirage® Intelligence Analysis Platform

Senior DevOps Engineer

AI-powered intelligence analysis platform for real-time data analysis and improved decision-making.

engineeringonsiteReston, US
$155,000 - $230,000
full-time

Benefits:

  • Substantial Equity

  • Unlimited Flexible Time Away (FTA)

  • 401k Matching

  • 90% Employee Medical Premium Coverage

  • 65% Dependent/Family Medical Premium Coverage Flexible Spending Accounts Employee Referral Program Lunches & Snacks Commuter Benefits Life Insurance Travel Assistance

Education Requirements:

  • BS in Computer Science or related field

Experience Requirements:

  • 8+ years of Systems/Applications automation in 24/7 production services environments

Other Requirements:

  • Ability to be onsite at the customer’s facility several days a week

  • Expert understanding of running a large-scale virtualized infrastructure in the cloud and on-premise

  • Expertise with containerizing concepts like Docker, PaaS services on AWS, and Kubernetes or equivalent technologies

  • Fluency with at least one current generation scripting language used by DevOps professionals such as Python, Bash, or Perl

  • Deep experience operating on AWS (C2S) and infrastructure automation using Ansible and Terraform

  • Excellent troubleshooting and problem-solving skills

  • Demonstrated experience in analyzing and diagnosing large-scale distributed systems and Linux systems internals (system libraries, file systems, etc.)

  • Experience with elastically scalable, fault tolerance and other cloud architecture patterns

  • Experience with Continuous Integration and Continuous Delivery, including tools such as Cloudformation

  • Experience in Linux and security triage and forensic analysis

  • Excellent interpersonal and communication skills

  • US citizenship and a national security background required

  • Experience working with the DoD / IC community a plus

Responsibilities:

  • Utilize troubleshooting and scripting skills to improve the availability, performance, and security of Percipient.ai services

  • Implement automated deployments, and operational tools

  • Collaborate with product and engineering teams to plan and deploy product releases

  • Ensure services are designed with 24/7 availability and operational readiness and rigor

  • Implement proactive monitoring, alerting, and self-healing systems Participate in on-call rotations, driving restoration and repair of service-impacting issues Define non-functional requirements as part of the product lifecycle to influence the new designs, standards, and methods for scalable, highly available distributed systems Coding and automation of applications in the cloud

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