DevOps Engineer (ML Project) (вакансія неактивна)

3+ years of working experience as a DevOps Engineer;
Strong written and spoken communicator, can confidently document and explain concepts for both technical and non-technical team members;
Self-motivated and capable of working independently to drive initiatives forward, but won’t hesitate to bring in others for input or assistance when necessary;
Comfortable collaborating with developers to make sure new and existing environments meet requirements and conform to best practices;
Experience in cloud services (AWS and Azure) and infrastructure as code (Terraform, CloudFormation, etc);
Kubernetes experience — experience with any flavor of k8s appreciated (EKS, GKE, kops, or Openshift, etc..);
Exposure to functions-as-a-service (Lambda, serverless);
Security minded with a high-level understanding of cryptographic algorithms, secure communication protocols, and secrets management systems;
Capable programmer in modern systems languages (Go, Python, C, Rust, etc);
Experience with different kinds of monitoring tools and can tell which ones are good for what;
Familiar with CI/CD and defining build/test/deploy pipelines in code;
Capable of learning our coding languages and interpreting the business logic of our production codebase.

Experience with deployment and monitoring of IoT devices in a production environment.

A challenging, but also promoting a working atmosphere;
Responsible tasks, fast decision-making process and space for the implementation of your own ideas;
A team-oriented working process, which visibly incorporates the results of your work;
A modern, young work environment including free fruit and beverages;
Medical insurance and partial sports compensation;
Regular corporate events;
German and English classes.

You will be responsible for deploying, automating, and improving the systems that keep the development and production environments running smoothly.
You will work closely with engineering and leadership teams to plan and deliver large scale projects that ensure our company’s infrastructure and DevOps processes are healthy and thriving as we scale.

Our client is an ambitious startup with a remote-first, collaborative culture. Even with a small team, they are having significant impacts on the global operations of large logistics companies by gleaning insights from their data using machine learning and bringing the latest technologies into their operations.