AI Jobs
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Senior DevOps Engineer
AI-powered intelligence analysis platform for real-time data analysis and improved decision-making.
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
Show more details