Kryon, a profitable and fast-growing AI robotics startup specializing in process automation tools. We are an alternative workforce provider, specializing in self-learning bots that carry out repetitive tasks for Fortune 500 and small business customers. Our solution, driven by data and technology, enables workplaces execution of non-creative tasks at zero operational cost, at all hours 365/24/7. By solving for the availability of time, Kryon increases work velocity and improves employee focus on tasks that require human insight for their decision and execution.

Our goal is making Automation easy. Doing this is a challenge as Kryon products are offered to production Customers environments without prior training data or procedures. We strive to create a seamless onboarding experience for our Customers while also providing the tools to our Partners to customize their own process flows. We build our tools to self-learn and continuously adapt to the business target function, and customized to a specific use case. From process discovery to helping managers make the most of their business flows, our team creates the tools to make intelligent decisions about our Customers that help guide their first steps and win their loyalty.

Discovery on Kryon is all about finding things to work better, even if you don’t know at first what you’re looking for. The Visual Discovery engineering team at Kryon is tasked with building technology that will help people to continue to do just that, by building technology that captures and understands the objects in a person’s work environment.

The process for developing an effective AI pipeline is iterative. Before an effective network algorithm is reached, many parameters must be evaluated and their impact on performance assessed. Our machine intelligence solution is implemented into a pipeline of stages, both parallel and sequential including image recognition, text recognition, classification, segmentation, correlation, neural networks, NLP, OCR, deep reinforcement and optimization. By using all data available to workers as input, the models continuously optimize and improve accuracy.

Over the last year we’ve been extending the core technology and building a large-scale, cost-effective machine vision pipeline and stack with widely available tools with just a few engineers. We face several main challenges in deploying a commercial visual capture system, and are searching for you – talented, creative and fun to work with!

The core technology is proven, patented and used globally by Fortune 500 and SMBs in the last 9 years.

How would you like to solve one of the biggest problems in the next industrial revolution? If you have a passion for the intersection between business and technology, and you enjoy the process of solving complex problems using data and code, then we want to work with you!

Kryon is building an AI technology platform that is saving Millions of dollars a day, 7 days a week in time, velocity and employee retention. We are using technology to redefine core parts of business infrastructure and enable cheaper, friendlier and more transparent products and work environments that increase commerce. We believe the business workforce industry is fundamentally broken. Not only is the core infrastructure built with technology and concepts from the 1970s, but there are a dwindling number of people who say “I trust my company is efficient”. It doesn’t have to be this way, and it’s our mission to fix this problem. 

Kryon is rapidly growing and we are looking for a highly experienced DevOps Engineer who lives and breathes automation and has strong technical skills together with deep understanding of cloud infrastructure, micro-service infrastructure design and continuous deployment pipeline. Become a part of a dedicated, focused team of professionals and become a key player in shaping up and designing the automation frameworks and pipelines. Work in an Agile (Scrum) environment and help us to continuously deliver our product to customers and SaaS solution to production (AWS).

The team key goal is making Automation easy, both for our Customers and internally for operations. We believe that everything that can be automated should be automated, and we always make time to continuously improve, preferably with OS tools that we use and contribute to. Our CI/CD pipeline is improving iteratively and includes tools such as Jenkins 2.0, HashiCorpOS stack, Docker, K8s, Artifactory on top of our SaaS cloud on AWS and GCP.

Our passion is releasing quality AI algorithms, data and applications. We define the strategy and methodology to build and test ML models, computer vision and complex heuristics, and engineer the infrastructure to support it.


  • Creating fully automated CI build and deployment infrastructure and processes for multiple projects
  • Design, implement and maintain build, test and deployment pipeline
  • Implement system monitoring, logging tools and notification/alert services for full system visibility
  • Performing and automating application deployments.
  • Identify bottlenecks and faults in the system’s performance and correct them.


  • 5+ Years of DevOps and cloud infrastructure experience.
  • High technical skills, deep knowledge in CI/CD best practices.
  • Experience and deep knowledge in building and maintaining CI/CD and best practices.
  • Deep understanding in cloud infra (AWS/GCP) and network security practices.
  • Scripting languages in Windows and Linux (bash, Python, PowerShell, etc.)
  • Windows, Linux, Unix -Sys admin, Installing and optimizing
  • InstallShield/InstallAnyWhere – advantage.
  • Good communication skills and excellent team work capabilities.
  • Motivated, fast learner and independent.

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