Senior DevOps Engineer

United States·RestonFull-Timesenior

EngineeringDevOps & InfrastructureDevops EngineerInfrastructure & Cloud

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ansibleawsdockerkubernetespythonterraformci-cddeep-learningdistributed-systemslinuxnetworking

Founded in 2017, percipient.ai utilizes state-of-the-art research in Computer Vision, Artificial Intelligence, and Deep Learning to develop cutting-edge tools that bridge the gap between AI and human understanding. We pride ourselves on maintaining an inclusive and collaborative work environment that enables each individual to grow while having a meaningful impact on national security. Join our team today!

Percipient.ai is currently seeking Sr. DevOps Engineers to work with our customers to ensure their mission success. This position will work directly with customers at their facilities several days a week. In addition to DevOps skills, this broad role requires skills in IT/networking, release management, site reliability engineering, cloud computing, and overall troubleshooting.

Responsibilities include ensuring our pipeline for deploying mission critical updates is working smoothly, and using open-source tooling, cloud services, and Infrastructure as Code to automate deployments and scale our product. Additionally, this role will frequently troubleshoot complex problems that will impact the most pressing intelligence and national security missions.

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

BS in Computer Science or related field

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

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

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