Remote Docker Engineer - Cloud & Automation Lead

Bright Vision Technologies; Edison (NJ); Remote; USD 115,000 - 165,000; Full time

Job summary

Bright Vision Technologies is seeking a Docker Engineer to build, secure, automate, and operate cloud or enterprise infrastructure and platforms. The work focuses on availability, scalability, security, observability, automation, and dependable service operations.

The successful candidate will apply practical expertise in Docker, container images, registries, Linux, image security, build pipelines, and container runtime troubleshooting, work with cross-functional teams, and contribute to

Qualifications

• 4+ years in a related professional role.
• Hands-on with Docker, container images, registries, Linux, image security, and build pipelines.
• Experience in cloud engineering, DevOps, or systems operations.
• Scripting, automation, source control, or infrastructure as code.
• Ability to troubleshoot infrastructure and production issues methodically.
• Strong documentation and cross-team collaboration skills.

Responsibilities

• Design, provision, configure, and operate cloud or infrastructure components using approved architecture patterns.
• Automate repeatable provisioning, deployment, configuration, and operational tasks.
• Implement security, identity, networking, backup, monitoring, and availability controls.
• Investigate incidents, capacity issues, vulnerabilities, and performance problems.
• Maintain runbooks, diagrams, standards, and change records; collaborate across engineering and operations.

Skills

Documentation

Cross-team collaboration

Troubleshooting

Tools

Docker

Container images

Registries

Linux

Image security

Build pipelines

Container runtime troubleshooting

Job description

Bright Vision Technologies is seeking a Docker Engineer to build, secure, automate, and operate cloud or enterprise infrastructure and platforms. The work focuses on availability, scalability, security, observability, automation, and dependable service operations.

The successful candidate will apply practical expertise in Docker, container images, registries, Linux, image security, build pipelines, and container runtime troubleshooting, work with cross-functional teams, and contribute to