Senior / Staff Platform Engineer (AWS · Infrastructure · Distributed System)

Blue Language Labs Inc. is building a trust layer for the AI economy — a protocol for structured, verifiable, multi-party agreements that execute deterministically, leave an audit trail, and work across any system. Their products include PayNotes, a programmable payments system, and MyOS, an orchestration layer for merchants and agents enabling cross-platform trust. The company focuses on infrastructure for systems where correctness is critical, operating the foundation for deterministic processing, auditability, and reliable execution across distributed workflows.

• Experience with AWS
• Proficiency in Infrastructure as Code
• Knowledge of CI/CD pipelines
• Experience with distributed systems
• Proficiency with PostgreSQL
• Experience with serverless architectures
• Knowledge of IAM and security best practices

Nice to have:

• Experience with Redis
• Knowledge of payments systems
• Security expertise
• Experience with TypeScript
• Experience with Node.js

• Own AWS infrastructure end-to-end: architecture, security, reliability, cost, and production operations
• Design and maintain CI/CD pipelines that enable confident, quick, and manual-step-free releases
• Build monitoring, alerting, and dashboards to surface operational issues early (queue depth, processing failures, latency spikes, delivery anomalies, retry storms)
• Operate and improve distributed, event-driven infrastructure across Lambda, SQS, Redis, S3, and PostgreSQL
• Define and maintain infrastructure as code using CloudFormation, SAM, CDK, or equivalent tooling
• Manage environment strategy across dev, staging, and production with strong parity and clean promotion paths
• Enforce IAM least-privilege, secure secrets handling, service-to-service trust, and network isolation
• Own PostgreSQL operations: migrations, configuration, pooling, performance, backup/restore, and reliability
• Improve observability through structured logging, tracing, dashboards, and actionable alerting
• Drive cost visibility and optimization across a growing AWS footprint
• Collaborate closely with engineering and founding team on reliability, platform standards, and deployment safety
• Use modern AI tooling to accelerate infrastructure work and experimentation