Forward Deployed CloudOps Engineer
Role Description
Cyber Labs Solutions builds AI workflow automation, internal tools, integrations, dashboards, and custom software. We are looking for a fractional Forward Deployed CloudOps Engineer who can help make delivery reliable, secure, and deployable.
This is a hands-on, task-based role. You may help set up cloud environments, GitHub workflows, CI/CD, DNS, monitoring, logs, backups, infrastructure documentation, and client deployment support. The best fit can move quickly while keeping systems understandable, secure, and maintainable for a small consulting company.
Schedule and compensation:
- Contract/fractional, remote in the United States.
- San Diego/California preferred but not required.
- Expected 3-5 hours per week to start with task-based scopes.
- $75-$100/hour.
Responsibilities:
- Set up and maintain lightweight AWS/cloud environments for internal or client delivery.
- Configure GitHub repositories, CI/CD workflows, deployment pipelines, and environment variables.
- Support DNS/domain, monitoring, logging, backups, and basic security hardening.
- Create practical runbooks, deployment notes, and infrastructure documentation.
- Help troubleshoot production or staging issues.
- Coordinate with delivery leads, engineers, and founders on client implementation needs.
- Protect clean separation from any current employer or third-party confidential information.
Good fit:
- Experience with AWS or similar cloud platforms.
- Comfortable with GitHub, CI/CD, Linux, DNS, logging/monitoring, secrets hygiene, and basic security practices.
- Able to work independently on small, well-scoped tasks.
- Practical documentation habits.
- Authorized to contract or work in the United States, or able to contract through an approved platform if outside the United States.
Nice to have:
- Experience with AI/automation apps, SaaS integrations, serverless/cloud-native setups, Docker, Terraform, or SOC 2/security questionnaire support.
Pay: $75.00 - $100.00 per hour
Work Location: Remote
About Forward Deployed Engineering
Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.
Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.
Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.
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