Sr. DevOps Engineer - percipient.ai Santa Clara, CA Bookmark Share Print 57 0 0

Listing Description

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 maintain an inclusive and collaborative environment where each individual can do their best work, grow, and have a meaningful impact on our nation’s security.

We strongly believe in the power of data to save lives, the promise of the human and machine team to protect our values, and the potential of our people to help transform the world.

We look for diverse life experiences, top-quality intellect, emotional maturity and for people that truly want to make a difference enabling profoundly important missions. We work across teams to deliver an impactful product that is changing the way our nation collects and analyzes intelligence.

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Percipient.ai is seeking an experienced Sr. DevOps Engineer to join our team. This role will be based in our Santa Clara, CA headquarters.

The Sr. DevOps Engineer will perform advanced systems automation tasks like writing configuration management code, AWS infrastructure as code, managing CI/CD pipelines using Jenkins, and debugging complex customer and systems issues. In addition to DevOps skills, this broad role requires skills in IT/networking, release management, site reliability engineering, cloud computing, and overall troubleshooting.  

What You’ll Do
  • 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

  • Requirements:
  • BS in Computer Science or related field; MS a plus
  • 5+ 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 & forensic analysis
  • Excellent interpersonal, communication, and collaboration skills
  • US citizenship required due to federal requirements
  • Percipient.ai is a proud equal opportunity employer and we are committed to hiring and supporting a diverse workforce. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

    We believe in the benefit of a highly-collaborative, in-office culture, so if you're in the Bay Area or near the Reston Town Center, plan to be in the office 2-3 days a week.


    Listing Details

    • Citizenship: Not Provided
    • Incentives: Not Provided

     

    • Education: Not Provided
    • Travel: Not Provided
    • Telework: Not Provided


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