DevOps Engineer (Remote)

Posted 4 Hours Ago
Remote
5-7 Years Experience
Artificial Intelligence • Machine Learning • Software • Analytics • Generative AI
The Role
Join MOSTLY AI as a DevOps Engineer to contribute to the development of their privacy-preserving Synthetic Data Platform. Responsible for deployment, maintenance, and optimization of cloud and on-premise environments. Strong knowledge in CI/CD, shell scripting, containerization, and network security is required. Experience with cloud platforms (AWS, GCP, Azure) and Infrastructure as Code (Terraform) is preferred. Must have strong analytical mindset, willingness to learn, and ability to thrive in a fast-paced startup environment.
Summary Generated by Built In

Welcome to the Future!


Become a part of the revolution at MOSTLY AI, where cutting-edge technology meets privacy protection. We lead the way in privacy-preserving synthetic data, using advanced Generative AI to create it. Our goal is clear: to provide everyone with secure data, enabling them to build a brighter and more equitable future.

At MOSTLY AI, we assist companies worldwide in sharing their large data sets with peace of mind, ensuring the privacy of their clients always comes first. With an expanding clientele, we are looking for a passionate DevOps Engineer to join our dynamic team and make a meaningful contribution to the world of AI.


Take advantage of this opportunity to have a lasting impact through AI. Join us!

About you

  • You are an experienced DevOps Engineer eager to make a substantial impact by contributing to the development of deep tech products written in Angular, Kotlin, and Python, deployed on cloud platforms.
  • You are driven by efficiency and automation, leveraging state-of-the-art tools within a truly agile development environment.
  • If this sounds like you, then you should read further!

What you will be doing

  • Contribute to building the MOSTLY AI Synthetic Data Platform.
  • Manage deployments of MOSTLY AI solutions in both cloud and on-premise environments.
  • Ensure the continuous operation of our website and SaaS solution.
  • Develop and maintain installation and deployment code (IaC), including Helm charts.
  • Define, manage, and enhance the release process.
  • Design, build, and optimize CI/CD pipelines.
  • Troubleshoot and resolve infrastructure, network, and environment-related issues.
  • Provide support to development and QA teams, as well as clients, regarding infrastructure matters.
  • Create and maintain cloud infrastructure, including organizational units, access controls, and security definitions.
  • Monitor cloud platform usage and collaborate with teams to optimize it.
  • Assist customer-facing teams with technical issues.

What we are looking for

  • 5+ years of professional experience in a similar role.
  • Expertise in CI/CD, shell scripting (Bash), and version control tools (Git).
  • Advanced knowledge of Kubernetes/OpenShift, containerization, Helm charts, and operators.
  • Experience with CI/CD tools such as GitHub Actions, Travis, and ArgoCD.
  • Public cloud deployment and management experience (primarily AWS, with GCP and Azure as a plus); certifications are a bonus.
  • Strong understanding of network and web application security.
  • Proficiency in Infrastructure as Code (Terraform).
  • Basic knowledge of database maintenance.
  • Familiarity with Python is an advantage.
  • A proactive learner who continuously seeks to improve.
  • Strong analytical skills with a focus on quality and efficiency.
  • A high sense of responsibility and a results-driven mindset.
  • Excellent interpersonal, communication, and collaboration skills.
  • Ability to thrive in a fast-paced startup environment.

Benefits and perks

  • Remote: Work from anywhere you want within EMEA.
  • Win as a Team: participation in MOSTLY AI Phantom Stock Option Plan.
  • Home office support: €1000 when you join, with an additional €300 top-up annually.
  • Lunch subsidy: monthly lunch stipend of €100.
  • Time to recharge: 25 days of paid time off, plus additional days off beyond national holidays.
  • Heaps of fun: virtual and in person team events.
  • Boost your development: continuous career development with an individual training budget.

About MOSTLY AI


MOSTLY AI serves many of the most renowned brands with its synthetic data platform. In particular, industries that deal with highly sensitive data already today reap the value of synthetic data. At the same time, there is a growing appetite for safe & smart data across all industries. These innovation leaders help us move forward, and define the category for years to come. Synthetic data will become a key pillar of every organization’s data stack. 


To us, it is key that as many people as possible can access, collaborate and build upon granular-level data, without infringing on anyone’s privacy. Data that is artificially generated, yet representative, realistic, and insightful for people as well as algorithms alike. This allows for broad data collaboration within and across organizations, helping these to leverage the immense power of Data & AI in order to put these to good use for the benefit of everyone. 


Our team is a diverse group of individuals from various backgrounds and walks of life, and we welcome all applicants. We are committed to providing equal employment opportunities to all. Regardless of a person’s ethnicity, color, creed, religion, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to affirmatively seek to advance the principles of equal employment opportunity.


If you are ready to make a real impact through AI, we want to hear from you!

Top Skills

Angular
Kotlin
Python
The Company
New York, New York
58 Employees
On-site Workplace
Year Founded: 2017

What We Do

MOSTLY AI pioneered the creation of synthetic data for AI model development and software testing. MOSTLY AI’s synthetic data sets look just as real as a company’s original customer data with just as many details, but without the original personal data points – thus helping companies comply with privacy protection regulations such as GDPR, and ensuring models are fair and unbiased. The fast-growing company currently works with multiple Fortune 100 banks and insurers in North America and Europe, and has the deepest expertise in helping companies get business value out of synthetic data.

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