DevOps Operations Engineer

Own the overall production environment, maintain AWS infrastructure, automate releases and CI/CD with GitHub Actions and Docker, manage monitoring and incident response, maintain blockchain nodes and RPC services, and build dashboards and alerts for large-model API token usage and costs. Use AI tools for log triage, script generation, and small-scale automation.

Responsibilities

• Operate and maintain AWS environments including EC2, VPC, ALB, RDS, S3, CloudFront, IAM, and Route53
• Handle resource provisioning, upgrades, backups, permissions, and routine changes
• Build and maintain release pipelines with GitHub Actions and Docker
• Enable repeatable releases and clear rollback procedures
• Automate manual tasks with scripts and configuration
• Build and manage monitoring and alerting with Prometheus, Grafana, Loki, or a managed alternative
• Respond to incidents, restore services, and document root causes and solutions
• Deploy and upgrade blockchain nodes and RPC services
• Manage node disks and snapshots
• Implement basic rate limiting and protection for nodes and RPC services
• Build dashboards and alerts for large-model API token usage and costs
• Use AI tools for log triage, script generation, and small-scale automation

Requirements

• At least 3 years of operations or DevOps experience
• Hands-on proficiency with AWS, including VPC networking and IAM permissions
• Strong Linux fundamentals covering networking, disks, processes, logs, and performance troubleshooting
• Experience with Docker and containerized deployments
• Ability to write Python or Bash scripts
• Experience with Terraform or a similar infrastructure-as-code tool
• Experience using AI tools in daily work
• Ability to monitor API usage and costs
• Ability to cover operations, security, costs, and toolchains in a small team
• Clear written communication and ability to collaborate asynchronously across time zones

Benefits

• Token incentives
• Remote-first work
• Fully flexible working hours
• High freedom in technical selection