Senior Cloud Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and manage the claude-ops stack, which encompasses Claude Code environments, skills, subagents, MCP servers, and guardrails.

• Establish human checkpoints and approval processes for agent activities in production.

• Operate and enhance the AWS environment to ensure availability, performance, cost-effectiveness, and security.

• Lead incident response initiatives, including on-call duties, root cause analysis, blameless postmortems, and the creation of runbooks.

• Automate repetitive fixes to mitigate the recurrence of incidents.

• Manage infrastructure as code utilizing Terraform and some CloudFormation.

• Implement observability tools in Datadog, Grafana, and PagerDuty, focusing on alerting, agent-run tracing, and token and cost monitoring.

• Maintain shared AWS services such as MSK, RDS, and networking; oversee DNS record management.

• Address infrastructure challenges for product development, platform, and support teams.

• Optimize cloud and LLM expenditures and report savings in monetary terms.

• Create reusable Terraform modules, GitHub Actions, and foundational container images.

• Provide practical infrastructure support and document CI/CD and IaC methodologies.

• Conduct lunch-and-learn sessions and educate developers on using Claude Code skills, subagents, and MCP servers.

⛳️ Requirements

• Over 5 years of experience in platform engineering, SRE, DevOps, or cloud operations for production SaaS.

• Extensive knowledge of AWS, including multi-account setups, IAM, networking, managed databases, and compute services (EKS/ECS/Lambda).

• Proficient in production Terraform (or equivalent IaC) and CI/CD practices (GitHub Actions).

• Daily experience with Claude Code or comparable agentic tools in engineering tasks.

• Capability to articulate trade-offs and the impact of incidents to non-engineers, both verbally and in writing.

• Bonus: Experience with on-call responsibilities and incident management using Datadog, Grafana, or similar tools.

• Bonus: At least 1 year of experience managing AI/LLM workflows in a production setting.

• Bonus: Practical knowledge of the agentic development lifecycle (ADLC).

• Bonus: Proficiency in programming languages such as Python, JavaScript, Bash, or Go.

• Bonus: Interest in the education or nonprofit sectors.

🏝️ Benefits

• 2.5% bonus plan tied to company performance.

• 80% coverage for medical, dental, and vision insurance premiums.

• 401k matching up to 3%.

• Remote-first work environment offering flexibility.

• Generous paid time off throughout the year.

• Commitment to professional growth and development.

• Opportunities for in-person and virtual connections with colleagues.

• Chance to contribute to non-profit organizations and educational institutions.