Sr Engineer Compute Virtualization

About us:

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.

We are looking for a Senior Engineer to design build and operate highly available compute and private cloud infrastructure at scale. This role requires strong software engineering fundamentals combined with hands-on expertise in Go Linux virtualization networking storage and production operations. Understanding of Kubernetes and docker/containers is a plus.

Education Qualification:
Bachelors degree in Computer Science Engineering or a related field; Masters degree is a plus.
Experience: 5 years of relevant experience in software development and cloud concepts/infrastructure

What Youll Bring
5 years of relevant software/platform engineering experience with a 4 years bachelors degree.
Core Technical Skills
Programming: Strong proficiency in Go (Golang) and solid understanding of data structures algorithms
concurrency and software design.
Linux & Virtualization: Hands-on experience with Linux/Ubuntu KVM libvirt or comparable server virtualization technologies.
Containers: Strong working knowledge of Kubernetes and container technologies such as containerd/Docker.
Distributed Services: Experience building microservices and REST/gRPC APIs.
Infrastructure: Strong fundamentals in compute networking storage load balancing high availability security and failure recovery.
Automation: Experience with Ansible or comparable infrastructure automation/configuration-management tools.
Observability: Hands-on experience with Prometheus/OpenTelemetry Grafana InfluxDB Telegraf or equivalent observability platforms.
Testing: Experience building unit integration and automated infrastructure/service tests.
Engineering Practices: Strong knowledge of Git CI/CD code reviews automated testing and production software-development practices.
Production Operations: Proven experience deploying operating monitoring and troubleshooting
Deep knowledge of virtualization container runtimes distributed systems or infrastructure platform engineering.
Understanding of docker/container

What Youll Do
Design and build scalable resilient compute infrastructure and platform services.
Develop production-quality services and infrastructure components using Go (Golang).
Build and operate virtualization platforms using KVM libvirt and Linux.
Develop REST/gRPC APIs and microservices for infrastructure automation and platform capabilities.
Automate infrastructure provisioning configuration testing and operational workflows using tools such as Ansible.
Build observability into platforms using Prometheus/OpenTelemetry Grafana InfluxDB and Telegraf.
Troubleshoot complex production issues across compute Linux networking storage and virtualization.
Improve platform availability performance scalability operational readiness and failure recovery.
Participate in design reviews code reviews incident response root-cause analysis and production support.
Provide technical guidance to engineers and collaborate with partner teams on architecture and platform
decisions