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

O projekcie: - Competitive B2B compensation based on experience - Equity — own a piece of what you’re building - Fully remote work in an async-first environment - Direct collaboration with the founding team - Real ownership over infrastructure, deployment safety, and production reliability - Small team, fast decisions, visible impact - Interesting platform problems: deterministic processing, distributed state, real-time fan-out, payment-grade reliability - Space to shape platform standards, engineering practices, and system architecture The protocol is only as trustworthy as the infrastructure running it. If that’s the part you want to own — we’d love to talk. Wymagania: We’re looking for an engineer who looks at a distributed, event-driven system and immediately sees the failure modes, the ordering edge cases, and the places where a misconfigured queue can silently corrupt state. This role is for someone who treats infrastructure as part of the product — something that defines reliability, execution guarantees, deployment safety, and system trustworthiness. You’ll own the platform end-to-end: AWS architecture, CI/CD, observability, security, cost, and operational correctness. If something requires a manual step, weakens guarantees, or makes production harder to reason about, you’ll be expected to fix it properly. This is a high-autonomy, high-trust role for an engineer who wants real ownership over the infrastructure that powers payment-grade, event-driven systems. ABOUT BLUE LANGUAGE LABS Blue is building the trust layer the AI economy has been waiting for — a protocol for structured, verifiable, multi-party agreements that execute deterministically, leave an audit trail, and work across any system. Think smart contracts, minus the blockchain overhead. Our products are already being built and tested with real integrations: - PayNotes — programmable payments with conditional capture, milestone releases, refunds, vouchers, and partner settlement - MyOS — orchestration layer for merchants and agents, enabling cross-platform trust without writing Blue Language directly We are building infrastructure for systems where correctness is not optional. This is not generic cloud work. It’s about operating the foundation for deterministic processing, auditability, and reliable execution across distributed workflows. THE SYSTEM YOU’LL OWN MyOS processes documents, payments, and agent interactions through a distributed, event-driven pipeline where correctness isn’t optional. State must be deterministic, ordering must be exact, and failures must be recoverable without data loss or partial writes. A bad deployment here doesn’t just cause downtime — it can silently break processing guarantees across active sessions. Understanding why that matters, and building infrastructure that prevents it, is the job. Codzienne zadania: - Own AWS infrastructure end-to-end: architecture, security, reliability, cost, and production operations - Design and maintain CI/CD pipelines that let engineers ship confidently, quickly, and without manual release steps - Build monitoring, alerting, and dashboards that surface real operational issues early: queue depth, processing failures, latency spikes, delivery anomalies, and 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 - Work closely with the engineering and founding team on reliability, platform standards, and deployment safety - Use modern AI tooling to accelerate infrastructure work and experimentation