DevOps Engineer

Engineering · Draper, Utah
Department Engineering
Employment Type Full-Time
Minimum Experience Mid-level

DeepSee.ai represents a new category of people-first automation solutions in the wake of frustration with the widespread failure of AI-powered productivity projects to deliver value. We’ve created the world’s first Knowledge Process Automation (KPA) platform to mine unstructured data, operationalize AI-powered insights, and automate results into real-time action for the enterprise. Taking AI-productivity from the lab and into production, the KPA suite is especially useful in highly regulated industries such as the capital markets and insurance verticals, with a business solution flow architecture designed to automate line-of-business problems leveraging the very latest innovations in semantic modeling and natural language processing, all while solving the deployment, scalability, and availability issues that plague most robotic AI initiatives. In a world where enterprises are swimming in data, but very little insight, DeepSee.ai is putting the power of AI and the advantages of knowledge in the hands of the humans.


DeepSee is looking for a skilled DevOps Engineer with experience in AWS and cloud technologies to help drive our team forward as a best-in-class engineering organization. We are looking for a leader and self-starter that can take vision from architecture and engineering direction to enhance and build out our technology while helping teams build software faster and better using cloud native architecture.

 

Job Responsibilities

  • Engineer and maintain automated deployment processes using AWS CDK, CodeDeploy, Cloud Formation, Terraform, GitHub Actions and other infrastructures.
  • Maintain best practices in cloud architectures under the guidance Chief Architect
  • Ensure delivery of highly secure and compliant engineering systems and processes
  • Work with Engineering, Product, and Business to design and deliver highly secure and regulatory compliant infrastructure and processes (SOC2, ISO27001, etc.)
  • Create/maintain policies and access infrastructure in AWS and other system that maintain the Least Privilege Principle and enhance our security posture
  • Improve automated processes, cloud configuration, deployment pipeline, service monitoring and logging
  • Monitor and troubleshoot system outages and performance and suggest improvements to the teams
  • Participate with team on triage and resolution of critical issues when needed
  • Recommend best practices for sustainability and scalability

 

Must Haves

  • 4-year degree in Computer Science/Software Engineering or equivalent education and experience 
  • 3+ years' experience with AWS
  • 3+ years’ experience working in enterprise cloud application architecture 
  • Strong understanding of best practices in DevOps, Security, and software delivery
  • Understanding of cloud native, serverless and microservices architecture  
  • Understanding of cloud architecture building modularized, scalable enterprise cloud application systems in AWS 
  • Effectively work across multiple environments (staging, testing, production, etc.) 
  • Ability to debug and troubleshoot effectively both helping developers and teams deliver software and service/infrastructure level problems
  • Self-driven and able to work autonomously 

Nice to Haves

    • Experience in other cloud platforms (Azure or Google Cloud)
    • AWS Certified DevOps Engineer – Professional or other AWS certifications
    • Experience with compliance certifications (SOC2, ISO27001, etc.)


    Finally, it is important that you align with our Values.

    Knowledge Over Noise

    One Team, One Dream

    Be a Seeker

    Stay Human

    Act Boldly

    Believe!

    Own It

     

     We offer 100% company paid premiums on health, dental and vision insurance, unlimited PTO, remote work and the chance to work on cutting edge technology with seasoned professionals. 

     

    Thank You

    Your application was submitted successfully.

    • Location
      Draper, Utah
    • Department
      Engineering
    • Employment Type
      Full-Time
    • Minimum Experience
      Mid-level