Assignment Description

Our client in the automotive industry is currently seeking a Cloud Platform Developer – Data and Analytics within Engineering Data Hub.

Our client is making bold digital visions come true. They aim to lead the automotive world by creating a digital ecosystem built around making their customers’ lives less complicated. Now, they are looking for curious, creative people who want to change the world through innovative thinking.

They are the Platform Operations and Engineering team, working to accelerate and streamline the use of data, analytics, and AI. The team innovates and collaborates to offer a great user experience and to provide a unified self-service platform.

Responsibilities:

• Be at the forefront of designing and building a Platform to bolster the data and analytics capabilities of our client’s Engineering organization.
• Configure and set up cloud infrastructure.
• Deploy and operate data-oriented applications on Kubernetes.
• Work closely with other teams and platform users to gather requirements.
• Maintain seamless operations.
• Contribute directly to the Platform’s foundation in an early development phase.
• Shape the trajectory of the Platform’s future growth and success through your input.

Some of the tech they use today:

• Languages: Python, Go
• Cloud: Azure, AWS, Rancher, Kubernetes, Istio, Prometheus, Grafana, Vault
• DevOps: Terraform, GitHub Actions, ArgoCD, Helm
• PaaS: Databricks, Snowflake

Who are you?

We are looking for a proactive individual with a solution-oriented mindset, who is proficient in the following areas:

• Public or private cloud (Azure, AWS, or equivalent).
• Implementation of scalable infrastructure through an Infrastructure as Code (IaC) approach.
• Deployment and operation of applications on Kubernetes.
• CI/CD and other modern software development methodologies.

In addition, experience in any of the following is highly valued:

• Networking, security, and reliability in enterprise cloud solutions.
• Continuous Deployment with tools such as GitHub Actions, ArgoCD, Helm, etc.
• Tools and technologies for working with Big Data, including event streaming (e.g., Kafka, MQTT), large-scale data processing (e.g., Spark, Ray, Arrow), and storage solutions for Big Data (e.g., Data Lake, Data Warehouse).
• Minimum of 5 years of experience in related fields, with familiarity in Agile methods.

Desired attributes:

• You are a person with a proactive approach, a problem solver, and a flexible team player.
• Fluent in English, both verbal and written.