Senior Software Engineer, Technical Leadership / Platform (Remote)

Role Overview

Senior Software Engineer with Technical Leadership / Platform specialization. You will balance architectural ownership (30–50%) with hands-on backend delivery, ensuring the platform behaves correctly under load, failures, and long-term evolution.

Responsibilities

• Design and evolve core platform services with emphasis on reliability, data integrity, and clear service boundaries.
• Identify architectural risks and scalability limits early; propose pragmatic incremental improvements or migrations.
• Own technical relationships with partners as the primary point of contact for API/SDK integrations:
  • Lead solution reviews, troubleshooting, and roadmap alignment
  • Document technical decisions and integration details
  • Ensure partners understand expectations, timelines, and constraints
• Build and improve reliability mechanisms:
  • retries/backoff, timeouts, idempotency
  • partial failure handling, degraded/fallback modes
• Improve observability (metrics, logs, tracing) and participate in production incident analysis.
• During Discovery, build PoCs, validate ideas, and analyze third-party vendor APIs and integration flows.
• Implement the most complex/high-risk backend components in TypeScript + Node.js, ensuring correctness under partial failures.
• Raise team technical maturity through thoughtful code reviews, decomposition, pairing, mentoring, and documentation.

Required Qualifications

• 6+ years of professional backend development experience.
• Deep hands-on experience building and operating crypto infrastructure (custody, wallets, exchange, payment, settlement). Designed and ran production systems that move real funds.
• Strong backend expertise in TypeScript and Node.js.
• Strong distributed systems experience: microservices, service boundaries/data models, REST APIs and API contracts, queues/asynchronous communication.
• Hands-on production experience with incident response, debugging, API failures, and data issues.
• Ability to own services end-to-end (design → production support).
• Excellent knowledge of SQL (PostgreSQL) and understanding of other storage types.
• Strong reliability mindset and experience with failure scenarios and observability/incident investigation.
• Proficient daily use of AI coding tools (e.g., Claude Code, Copilot) with the ability to review AI-generated code critically.
• Ability to mentor engineers and evaluate trade-offs.
• High agency, strong communication skills (bridge technical and business conversations), and strong written/verbal English.

Preferred Experience

• Experience leading architecture across timezones in distributed teams.
• Experience in regulated financial environments (licensing, audits, compliance-driven requirements).
• Experience with queues and event-driven systems (e.g., Kafka, RabbitMQ, SQS).
• Experience with Redis or other in-memory stores.
• Familiarity with Docker and Kubernetes.