Devops Engineer

About the companyAt Aindo, our mission is to empower companies to harness the potential of their data securely and innovatively.
Our Synthetic Data solutions enhance the protection of privacy and the development of fair AI.
Synthetic Data mimics real data (a) preserving its statistical properties and analytical utility, (b) without retaining personal information.
Hence, it can replace personal data in AI projects, or help rebalancing biased datasets for increased fairness.Job descriptionAs a DevOps engineer, you will work on Aindo's CI/CD pipelines and product deployments.
Our solution is often deployed directly on our customer's cloud.
Your primary responsibility will be finding optimal and developing reliable ways to automate and improve processes related to software management and deployment on various clouds (Google Cloud, Microsoft Azure, AWS).
This also includes close collaboration with software engineers and sales representatives to ensure that development follows established processes and works as intended.
This job also requires collaboration with the customer and the customer tech team to define and implement the optimal architecture to solve their needs.The tools you will work with include:GitHub actionsIaC toolsDocker and KubernetesRequirementsExperience with CI/CD pipelinesExperience with some cloud service providers (Google Cloud, Microsoft Azure, AWS, etc.
)Good knowledge of DockerGood knowledge of GitA flair for problem solvingWilling to learn new technologiesGood communication skillsInteraction with the clientOptionally:Experience with Terraform, Pulumi or equivalent toolsExperience with KubernetesExperience with bashWhat we offerAttractive compensation comprehensive of salary and lunch perksHybrid work opportunity, in alignment with organizational needsWork-life balance, with a generous package of paid vacationHealth insurance, to support you and prioritize your health and wellbeingSocial Events with our fantastic team, to celebrate our people and successPersonal development working at the interplay of science and real-world applications.
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