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Lead DevOps Engineer (DC area or Colorado)

Company: Figure Eight Federal
Location: virginia beach
Posted on: May 3, 2021

Job Description:

Artificial Intelligence (AI)is transforming government. Across Defense, Health and Human Services, Homeland Security and Emergency Management, Sciences, Natural Resources and Regulatory functions- all are recognizing the power of human-machine teaming. Nothing moves in AI and machine learning (ML) without training data, and only high-quality training data can produce accurate and robust AI/ML powered solutions. Creating high quality training data at the scale necessary to meet the demands of our government mission partners is incredibly challenging. Few companies can do it. Even fewer can do it well. Since 2017, Figure Eight Federal has proven it can do both.

In March 2019, Figure Eight was acquired by Appen. Headquartered in the National Capital Region, Figure Eight Federal was created to specifically serve the needs of our government customers. Together, Appen and Figure Eight Federal, combine the best of human and machine intelligence to provide high-quality annotated training data that powers the world's most innovative machine learning (ML) mission solutions. The Figure Eight platform enables ML and data-driven business solutions to scale across a diverse set of industries including retail, automotive, finance, manufacturing, agriculture, life sciences, robotics, and more. The Figure Eight platform transforms audio, video, text, and images into high-quality annotated data to support a variety of use cases ranging from computer vision and search relevance to data categorization and natural language processing (NLP). Learn more at

This role is ideal for an experienced DevOps Engineer looking to expand their knowledge of Machine Learning. Our SaaS platform consists of annotation software used by thousands of people creating training data, Machine Learning models for real-time predictions at scale. The whole process is maintained by a combination of Human and Machine Intelligence. You will support every part of this pipeline.

You don't need to have a background in Machine Learning, but you do need to have an interest in expanding your knowledge of Machine Learning services. Within the company we train all our engineers on Machine Learning, and how to deploy them on services including AWS, Google Cloud, and Microsoft Azure. You will have the opportunity to learn all of these technologies alongside the other team members. You will lead DevOps strategies to support them.

  • Work closely with Application Developers and contribute to architectural discussions
  • Work closely with Machine Learning Scientists process automation specifically related to their work
  • Work with and support internal users in Sales, Sales Engineering, Customer Success, Marketing and Accounting on optimizations, break-fix and planning for the applications they use in support of our customers and contributors
  • Support of production infrastructure and services, including:
  • AWS Infrastructure such as EC2, ECS, S3, IAM, Route53, Elasticache, Load Balancers, CloudWatch etc.
  • Rails, Python and Java Applications
  • Docker and Kubernetes
  • PostgreSQL administration
  • Provide leadership to the team in mastering technologies, identifying and implementing worthwhile new technologies and improving our process
  • Continuous delivery (CI/CD) using Jenkins, Groovy Script, Docker, Chef/Ansible, AWS ECS, Kubernetes
  • Site reliability and availability, including end-to-end performance, service monitoring, alerting, capacity sizing and planning
  • 24/7 on-call rotation for production support, troubleshooting production and development issues. After-hour emergencies are rare, and you will help us make them even rarer!
  • Business continuity planning and testing

Required Qualifications:
  • 5+ years of DevOps and system administration experience, preferably in mid or late startups
  • Expertise in database scalability and availability, preferably with PostgreSQL and Redis
  • At least 3 years of experience in managing AWS or GCP cloud infrastructure
  • Experience with Redis
  • Experience in configuring and supporting SaaS environments, provisioning resources, monitoring utilization and making adjustments in accordance with SOPs
  • Experience monitoring/APM tools such as New Relic, CloudWatch, PaperTrail and Rollbar
  • Linux administration (Ubuntu, Amazon Linux, Centos) and scripting (e.g. shell script, Python)
  • Soft skills, e.g. team player, clear and concise communication, problem solver, sense of humor
  • U.S. citizenship
  • Willing and able to obtain a security clearance

Desired Qualifications:
  • Top Secret clearance
  • Degree in Computer Science
  • Experience in Docker
  • Experience in Kubernetes
  • Managing micro-services and real-time event processing

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Keywords: Figure Eight Federal, Virginia Beach , Lead DevOps Engineer (DC area or Colorado), Other , virginia beach, Virginia

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