Hire senior DevOps engineers in your time zone.

A senior DevOps engineer owns the Dockerfiles themselves, not just whether they build successfully. That means multi-stage builds that keep production images small, careful choice of base images, and avoiding layers that bloat the image or slow down every build.

Security is part of the job by default. That includes choosing minimal base images, scanning images for known vulnerabilities as part of CI, and avoiding running containers as root without a reason. These are not optional extras, they are what separates a container strategy that survives an audit from one that does not.

They also own the local development experience through Docker Compose, making sure a new engineer can run the full stack, databases, queues, and services included, with a single command instead of a page of manual setup instructions.

Finally, they own the pipeline that builds, tags, scans, and pushes images to a registry, and they debug the container-specific issues that come up in production: networking between containers, volume permissions, and resource limits that cause unexpected restarts.

A strong Docker hire understands the tools that sit around the container itself. Docker Compose for local development and simple multi-container setups is close to universal knowledge, and a candidate should be able to read and modify a Compose file without hesitation.

CI/CD tooling matters just as much as the Dockerfile. GitHub Actions, Jenkins, and GitLab CI are the common places image builds happen, and a candidate should know how to wire a pipeline that builds, tests, scans, and pushes an image automatically.

Cloud platforms are where most containers actually run. AWS, Google Cloud, and Azure each offer both container-specific services and full Kubernetes offerings, and a candidate's comfort level with your specific provider saves ramp-up time.

Terraform frequently provisions the infrastructure that runs these containers, and monitoring tools like Prometheus and Grafana are the common way teams track container health and resource usage once something is live.

Ask a candidate to walk through a Dockerfile they wrote for a production service, and why each stage exists. A strong answer explains tradeoffs, build speed versus image size, why a particular base image was chosen, not just that the build works.

Ask about image security directly: how they scan for vulnerabilities, how often base images get updated, and whether containers run as a non-root user by default. These questions separate engineers who treat security as routine from those who have not thought about it.

Probe a real incident: a container that crashed unexpectedly, a networking issue between services, or a resource limit that caused throttling. How someone diagnosed and fixed the problem tells you more than any list of commands they know.

BetterEngineer already runs this kind of evaluation, Dockerfile walkthroughs, security questions, and real incident debugging, before a candidate ever reaches your calendar, so the profiles you see have already cleared this bar.

Quick evaluation checklist:

• Ask for a Dockerfile they wrote in production and why they structured the stages that way
• Review how they approach image size and security, not just whether the build passes
• Check their Docker Compose setup for local development on a past project
• Probe how they debug a container issue: networking, resource limits, or a crash loop
• Assess whether their Docker experience is backed by a real CI/CD pipeline, not just local use