Senior Software Engineer – Platform

Job Description

Join our team as a Senior Software Engineer and play a key role in building and maintaining robust integrations between our platform and external third-party systems. You will ensure scalability, reliability, and security within our AWS environment. Design and implement well-structured APIs and services that enable seamless data exchange across platforms, following best practices in versioning, authentication, and error handling. You'll be building and operating services on AWS with strong CI/CD practices and infrastructure-as-code (IaC) to enable reliable, repeatable deployments. Implement monitoring, logging, and alerting for integrations. You will also investigate incidents, resolve root causes, and proactively harden systems against recurrence. Embrace the use of AI tools in day-to-day development (e.g., for code generation, debugging, test creation, and documentation) and help establish practical AI adoption across the team.

Qualifications

1. Minimum of 6 years in backend or platform engineering, with a strong focus on system integrations, workflow orchestration, and API-driven solutions. 2. Experience with Node.js and TypeScript, with strong experience building APIs and working with event-driven/serverless systems is preferred. 3. Solid AWS experience and CI/CD practices are expected (build/test/release pipelines, deployment automation, and operating production services). 4. Comfortable using AI coding tools (e.g., Cursor, GitHub Copilot, Claude Code, Codex) and familiar with integrating LLM APIs (e.g., MCP, RAG). 5. Hands-on experience with relational databases (AWS Aurora, PostgreSQL, MySQL), including schema design and ORM frameworks (TypeORM). 6. Strong analytical mindset with the ability to debug complex integration flows and resolve issues across multiple systems. 7. Experience in fintech, payments, crypto, or financial services integrations is a plus.

Benefits

- Insurance coverage is provided after the probation period. - A Reap Card stipend is available. - Opportunity to use AI tools at work, with the space to learn, experiment, and grow with them. - A culture of innovation, inclusion, and continuous learning.