DevOps Engineer

Explipro•Gothenburg, NE

About The Position

We are seeking an SRE / DevOps Engineer to join an agile team developing and operating business-critical connected vehicle services. The role bridges development and operations to maximize uptime, automate workflows, and maintain robust monitoring for millions of connected vehicles worldwide. The engineer will maintain and optimize monitoring, logging, and alerting systems; streamline operations and deployments through scripting and Infrastructure as Code; and run and support enterprise Linux environments and core AWS infrastructure. The role participates in the team's on-call rotation and collaborates with engineers and product owners in a “you build it, you run it” culture, applying cloud security best practices. The position is intended for consultants passionate about modern cloud technology who want to tackle challenging client assignments, drive technical excellence, and work alongside leading technology companies in a supportive and innovative network.

Requirements

  • Hands-on experience designing and operating solutions in AWS, including Infrastructure as Code using Terraform or CloudFormation.
  • Strong operational automation skills using languages such as Python, Bash, or Java.
  • Experience setting up distributed metrics, logging, and alerts using tools such as Datadog, CloudWatch, or Kibana.
  • Confidence working in enterprise Linux environments and a solid grasp of basic networking, including TCP/IP.
  • Good understanding of modern DevOps culture, incident management, and agile delivery.
  • Professional proficiency in written and spoken English.

Nice To Haves

  • Experience with serverless architectures such as AWS Lambda and API Gateway, or message brokers such as MQTT and Kafka.
  • Familiarity with container platforms such as Docker and Kubernetes, or backend development in Java.
  • Prior experience in the automotive, telematics, or IoT domain.

Responsibilities

  • Maintain and optimize monitoring, logging, and alerting using tools such as Datadog, CloudWatch, and Kibana.
  • Automate operations and deployments with Python, Bash, or other scripting languages and Infrastructure as Code tools such as CloudFormation, CDK, or Terraform.
  • Run and support enterprise Linux environments and core AWS infrastructure.
  • Participate in the team's on-call rotation.
  • Collaborate with engineers and product owners in a “you build it, you run it” culture.
  • Apply cloud security best practices, including IAM and encryption.
  • Troubleshoot incidents, perform root-cause resolution, and contribute to continuous improvement.
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