Engineering Manager - Tradeify Platform
Hands-on Engineering Manager leading Tradeify's Platform team, which owns the backend and infrastructure powering the company's futures and crypto trading business: trading accounts, evaluations, third-party integrations (NinjaTrader, Tradovate), and internal APIs. People leadership plus staying in the code with React/Next.js or Python/Node/C#/Go services on AWS/GCP/Azure with Docker/Kubernetes.
- Compensation
- Not disclosed
- Location
- Americas 1
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Software engineering
- Posted
Skills
Must have
- Prior experience managing or leading engineers, plus hands-on engineering experience
- Full-stack or backend engineering background (React, Next.js, or Vue frontend; Python, Node.js, C#, or Go backend)
- Experience with REST APIs, WebSocket services, and third-party platform integrations
- Familiarity with relational and/or in-memory data stores (PostgreSQL, MySQL, Redis, or MongoDB)
- Experience running production systems on AWS, GCP, or Azure with Docker/Kubernetes
- Comfort operating and scaling distributed systems already in production
- Strong written and verbal communication skills, able to work with non-technical stakeholders
Nice to have
- Background in fintech, trading, or crypto
- Experience with real-time systems and event-driven architectures (Kafka, NATS, or Pulsar)
- Familiarity with TimescaleDB or ClickHouse
- Experience managing platform or infrastructure teams that support other product teams internally
- Experience managing teams that use AI-assisted development tools day to day
Full description
About Us
At Tradeify, we're building a high-performance trading ecosystem that empowers traders around the world with capital, technology, education, and community. We operate across futures and crypto markets and partner with platforms like NinjaTrader and Tradovate to deliver a best-in-class trading experience.
We're a rapidly scaling fintech serving a global trader community, and technology is at the center of everything we do. If you want to build systems where performance actually matters, where a slow order execution is a real problem for real traders, this is a good place to do it.
About the Role
The Tradeify Platform team owns the backend and infrastructure that the entire business runs on today: trading accounts, evaluations, integrations with third-party trading platforms, and the APIs and services other teams (including product surfaces like Arcnine) build on top of. This is a live, revenue-generating system, not a greenfield build.
We are seeking a hands-on Engineering Manager to lead this team. You'll partner closely with Product, Data, and other Engineering teams to keep the platform reliable and fast while extending it to support new integrations and features. You'll report to the CTO, and this is a remote role.
What You Will Do
- Hire, onboard, and grow a team of backend and full-stack engineers.
- Run regular 1:1s, set clear goals, and give direct, useful feedback.
- Own performance management for your team, including calibration and hard conversations when needed.
- Partner with Product to scope and prioritize platform and integration work.
- Guide architecture decisions for scalable APIs, backend services, and microservices supporting third-party trading platform integrations (NinjaTrader, Tradovate, and others).
- Stay hands-on with the code: review pull requests, weigh in on design docs, and unblock engineers on hard problems.
- Own delivery, including sprint planning, tracking progress, and keeping commitments realistic against a live production system.
- Drive up code quality, testing standards, and CI/CD practices across the team.
- Own production reliability and observability, and lead incident response for systems the whole business depends on.
- Contribute to engineering standards and hiring practices at the broader Tradeify org level.
- Help shape how the broader engineering team hires, onboards, and operates.
- Represent the platform team's work, constraints, and technical debt tradeoffs in cross-functional planning.
##