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