Senior Cloud Engineer

EverTrue is hiring a Senior Cloud Engineer to operate and secure its AWS environment, strengthen its developer platform, and build agentic development tooling. The role also supports engineers, leads incident response, improves observability, and reduces cloud and LLM costs.

Responsibilities:

• Build and operate the claude-ops stack: Claude Code environments, skills, subagents, MCP servers, and guardrails
• Define human checkpoints and approval gates for agent actions in production
• Run and harden our AWS environment: availability, performance, cost, security
• Lead incident response: on-call, root cause analysis, blameless postmortems, runbooks. Automate repeat fixes so they stop being incidents
• Own infrastructure as code: Terraform, with some CloudFormation
• Build observability for systems and agents in Datadog, Grafana, and PagerDuty: alerting, agent-run tracing, token and cost tracking
• Maintain shared AWS services (MSK, RDS, networking) and manage DNS records
• Triage infrastructure issues for product development, platform, and support teams
• Find and cut cloud and LLM spend. Report savings in dollars
• Build the paved roads: reusable Terraform modules, GitHub Actions, base container images
• Unblock engineers with hands-on infrastructure support
• Shift left: document standard CI/CD and IaC patterns, run lunch-and-learns
• Build the paved roads. Own the core developer platform: reusable Terraform modules, CI/CD actions, and base container images
• Make Claude the default way to work. Package our infrastructure patterns as Claude Code skills, subagents, and MCP servers, so developers can ship infrastructure changes through Claude within our guardrails. Teach the team how to use them
• Unblock developers. Triage infrastructure requests and give hands-on support so projects keep moving
• Shift left. Document standard CI/CD and IaC patterns and run lunch-and-learns, so developers handle more of it themselves

Requirements:

• 5+ years in platform engineering, SRE, DevOps, or cloud operations running production SaaS
• AWS depth: multi-account setup, IAM, networking, managed databases, compute (EKS/ECS/Lambda)
• Production Terraform (or equivalent IaC) and CI/CD (GitHub Actions)
• Daily use of Claude Code or similar agentic tools for your own engineering work
• Explains tradeoffs and incident impact to non-engineers, in writing and out loud
• On-call ownership and incident management, with Datadog, Grafana, or similar
• 1+ year running AI/LLM workflows in production
• Hands-on experience with the agentic development lifecycle (ADLC): building agent-assisted workflows for engineering teams, such as Claude Code skills, subagents, MCP servers, and approval guardrails
• Fluency in Python, JavaScript, Bash, or Go
• Interest in the education or nonprofit sector