What We Offer :
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies.
We invest in our employees, providing them with the support and resources they need to succeed.
As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects.
Because we believe that your career path should be as unique as you are.
Group Summary :
Magna is more than one of the worlds largest suppliers in the automotive space.
We are a mobility technology company built to innovate, with a global, entrepreneurial-minded team.
With 65+ years of expertise, our ecosystem of interconnected products combined with our complete vehicle expertise uniquely positions us to advance mobility in an expanded transportation landscape.
Job Responsibilities :
Magnas Factory of the Future team is looking for an experienced DevOps Engineer to help us build and maintain our cutting edge microservices based platforms.
The ideal candidate will have a solid background in DevOps engineering or in a similar software engineering role and be familiar with Python or NodeJS.
The DevOps Engineer will work with our engineering team to ensure the standards are followed and works as intended.
Responsibilities :
- Proactively identify performance improvements in areas like responsiveness, availability, and scale - especially for connected cloud and edge solutions utilizing Kubernetes, Amazon EKS, or other container orchestration platforms.
- Design, build, and manage infrastructure on AWS with high availability, observability, and scalability in mind.
- Develop and maintain CI / CD pipelines using best practices, including pipeline linting, policy enforcement, and automated testing.
- Build and manage Kubernetes resources including custom controllers and operators (preferably in Go), managing the lifecycle of edge / IoT applications.
- Implement GitOps workflows using tools such as ArgoCD or FluxCD to manage Kubernetes environments declaratively.
- Integrate and maintain observability stacks (e.g., Grafana, Prometheus, OpenTelemetry) to ensure comprehensive insight into infrastructure and application behavior.
- Collaborate with development teams to ensure containerized applications are designed and deployed securely and reliably.
- Contribute to the evolution of platform architecture by developing reusable components and infrastructure patterns.
- Troubleshoot infrastructure-related issues in a fast-paced, highly collaborative environment.
- Evaluate new technologies and tools, and make recommendations to improve automation, performance, and reliability.
Qualifications :
5+ years of experience in a DevOps, SRE, or Infrastructure Engineer role supporting production systems.Strong experience in Go (Golang) for tooling, automation, or Kubernetes operator development.Experience with AWS, including core services like EC2, IAM, S3, VPC, EKS, etc.Proficiency with containerization technologies (Docker, Podman) and orchestration (Kubernetes).Hands-on experience building and operating CI / CD pipelines using GitHub Actions, or equivalent.Experience with Git and GitHub workflows.Deep understanding of infrastructure as code using tools like Terraform.Expertise in Linux system administration and Bash scripting.Proven ability to troubleshoot complex systems and communicate findings clearly and effectively.Experience deploying and maintaining observability tooling : Grafana, Prometheus, OpenTelemetry, Loki, or similar.Demonstrated success supporting high-scale IoT or Edge deployments on Kubernetes.Preferred Qualifications :
Experience with Amazon EKS and workload scaling strategies.Experience developing Kubernetes operators / controllers using the controller-runtime or Operator SDK (in Go).Hands-on experience with GitOps tools : ArgoCD or FluxCD.Familiarity with Helm and Docker Compose.Understanding of cloud-native security best practices and policy enforcement (OPA / Gatekeeper, Kyverno).Background in manufacturing or industrial IoT is a plus.Bachelor's degree in computer science, Engineering, or related field - or equivalent practical experience.(ref : hirist.tech)