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

Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree is a plus.

Experience

5+ years of relevant experience in software development and cloud concepts/infrastructure

What You’ll Bring

5+ years of relevant software/platform engineering experience with a 4 years bachelor’s 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 You’ll 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