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Golang Techcyte Jobs


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Browse 1 Golang Techcyte Jobs (3 new this week) in October 2022 at companies like Techcyte with salaries from $100,000 to $150,000 working as a DevOps Engineer. Last post

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DevOps Engineer
Techcyte
Orem, UT, United States
$100,000 to $150,000 a year
April 2021
4 Applicants This Week

Job Description

About the Role

At Techcyte, we are building machine learning algorithms for microscopy testing using the latest in deep learning. To support these applications, we use AWS in a dynamically scaling environment while maintaining the availability and quality requirements of medical grade software.

We use the following technologies (and more!):

  • AWS (S3, EC2, ECS, CloudFront, DynamoDB)
  • Terraform, Vault, Packer
  • Gitlab CI
  • Tempo (OpenTracing)
  • Go, ReactJS, Python
  • Docker, Ansible
  • Prometheus, Grafana

The goal of our DevOps team is to create a self-service system for everyone to get their job done. This means designing intuitive and well-documented infrastructure as code that allows others to get their jobs done efficiently, securely, and correctly instead of doing it all for them. At Techcyte, we believe the primary developers are the best suited to dissect production problems, and the DevOps team provides top-notch tools and methods to help them do that. As such, our DevOps members are still developers and will participate in product development, but they should be evangelists for thinking about code in the context of where and how it runs.

Candidates must meet the following requirements:

  • Have a BS in Computer Science or a related degree, or related experience
  • Be authorized to work in the United States
  • 4+ years experience building on AWS or other cloud infrastructure
  • Excellent coding skills (main languages in the company are Go, ReactJS, and Python)
  • Ability to work on remote Linux systems
  • Current with modern dev tools and methodologies such as agile development, git, bug trackers, and team chats.
  • Be able to work remotely
  • Ability to optimize queuing and complex systems to improve speed or costs
  • Knowledge around best security practices
  • Experience with SQL databases

Candidates will be asked to code in the interview process.

About the Company

Work from Home

While we do have offices available for use, our workforce spends the majority of their time working from the comfort of their home. Every team member has a daily standup meeting to touch base with their team and a monthly all hands meeting for the whole company to get updates. Additional meetings are created as needed, and the majority are impromptu.

Benefits

We offer competitive salaries, healthcare benefits, paid time off, work from home, a bonus plan, and equity.

Hard Problems

Techcyte develops products using computer vision and deep learning to automate microscopy for laboratory testing for healthcare, veterinary services, and environmental testing. We need to analyze the equivalent of a blu-ray movie worth of images in the cloud in only a few minutes while staying reliable and accurate. Major problems include transferring, processing, and storing terabytes of data, creating queuing systems that balance turnaround times with costs, and building a pipeline around machine learning models that meet the accuracy requirements of human healthcare.

Extremely Talented People

We have a wide range of talent spanning a variety of industries and positions. We have built a culture of fast paced and agile development in the face of a healthcare system that has been rigid. We are building massive scale systems to implement bleeding edge research. Come interview with us and you will see top notch engineering talent that can compete with any organization on the planet.

Improve the World

Our mission is to improve healthcare and laboratory testing throughout the world. We improve the work environment for our users, improve the accuracy of tests, and lower costs and turnaround times for the healthcare system. We push new innovation in technology, workflow, and regulations to make the healthcare system the best it can be. We have already improved accuracy in laboratory testing that have prevented misdiagnoses, and we are striving to do more.


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