Sr Engineer - Compute Virtualization
Target Corporation (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted on 11 Sept
Reach people at Target Corporation
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Target Corporation you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design, build, and operate scalable, resilient compute and private cloud infrastructure using Go and Linux virtualization technologies.
- Develop and maintain microservices, REST/gRPC APIs, and automation workflows to support infrastructure provisioning and operational workflows.
- Ensure platform availability, performance, and failure recovery through observability tools and production issue troubleshooting.
Minimum Requirements
- Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred).
- 5+ years of software/platform engineering experience including software development and cloud infrastructure.
- Strong proficiency in Go programming, Linux (Ubuntu), and virtualization technologies like KVM and libvirt.
- Experience with container technologies (Docker, Kubernetes), infrastructure automation (Ansible), and observability platforms (Prometheus, OpenTelemetry).
Ideal Candidate Profile
- Experienced engineer with a strong foundation in software engineering, virtualized compute infrastructure, and cloud platform operations.
- Hands-on expertise combining programming in Go with Linux system administration and virtualization platforms.
- Skilled in developing microservices, automation pipelines, and observability for high-availability infrastructure at scale.