Note: The job is a remote job and is open to candidates in USA. Silicon Data is a company building trusted tools for the GPU economy. They are seeking a DevOps Engineer to work on foundational infrastructure, focusing on managing AWS services, CI/CD pipelines, and automation projects.
Responsibilities
- Write, review, and refactor Terraform modules to manage AWS infrastructure as code across our environments
- Help maintain and improve CI/CD pipelines in GitHub Actions, including build, test, and deployment workflows
- Assist with provisioning, monitoring, and operating services in AWS (ECS/Fargate, S3, Lambda, IAM, VPC, CloudWatch)
- Contribute to automation projects that reduce manual toil — scripting routine operational tasks, building internal tooling, and improving developer experience
- Support security hygiene work: IAM policy reviews, secret rotation, dependency vulnerability scanning, log auditing, and following up on findings
- Help triage and respond to infrastructure alerts and incidents under the guidance of senior engineers
- Document infrastructure, runbooks, and processes so the team’s operational knowledge is shared and accessible
- Participate in code reviews and learn production engineering practices through hands-on work alongside senior engineers
Skills
- Some hands-on exposure to Terraform, AWS, and GitHub (Actions, pull request workflows) — either through coursework, personal projects, internships, or prior part-time work
- Working knowledge of Linux fundamentals and the command line
- Comfort with at least one scripting language (Python, Bash, or similar)
- Genuine interest in infrastructure, automation, and security — and the ability to articulate why these areas interest you
- A self-starter mindset: when given a task with some ambiguity, you'll dig in, read documentation, try things, and come back with options rather than waiting for step-by-step instructions
- Strong written communication skills and willingness to document your work clearly
- Ability to work effectively in an async, remote environment
- Familiarity with Docker and containerized deployments
- Exposure to monitoring/observability tooling (CloudWatch, Datadog, Grafana, Prometheus)
- Awareness of common cloud security concepts (least privilege, IAM best practices, secrets management)
- Any prior experience with incident response, on-call rotations, or production systems
- Familiarity with GitOps patterns or infrastructure testing tools (e.g., Terratest, tflint, Checkov)
- A GitHub profile, personal projects, or open-source contributions we can look at
Company Overview