What You’ll Do

— Design, build, and maintain scalable distributed backend systems powering platform and product capabilities.

— Own backend services end-to-end: from architecture and implementation to monitoring and long-term reliability.

— Work closely with product and engineering peers to actively shape product decisions — not just execute specs.

— Scope solutions with the clients building on our API: turn a vague request into a concrete proposal, and the proposal into a plan the team can build.

— Build and evolve Web3 platform backend components, including protocol integrations, support for newly emerging blockchain networks, and reliable interactions with smart contracts.

— Ensure high standards of code quality, performance, security, and observability.

— Operate comfortably in a fast-paced startup environment, balancing speed and correctness.

— Use AI as a core part of your engineering workflow — designing, reviewing, debugging and shipping with it.

— Contribute to technical discussions, reviews, and mentorship within the engineering team.

What We’re Looking For

— 5+ years of experience designing and building distributed backend systems.

— Strong knowledge of algorithms, data structures, and software design patterns.

— Comfortable working in a fast-paced startup environment.

— Strong desire to actively contribute to product evolution, not just implementation.

— Comfortable working directly with customers — hearing a vague problem and coming back with a concrete proposal.

— Hands-on, daily use of AI in your engineering work.

— You should be able to talk concretely about where it has changed how you build, and where you've learned not to trust it.

— High standards for code quality, system reliability, and user experience — you care about getting it right, not just getting it done.

— Strong ownership mindset — you take responsibility for outcomes, not just tasks.

— Clear and proactive communication in a distributed team.

— Pragmatic decision-making: knowing when to move fast vs. go deep.

— Ability to learn quickly and adapt.

Technical Skill Set

— Excellent knowledge of Golang is a plus, not a blocker.

— Experience with containerized systems: Docker & Kubernetes.

— Experience with databases: SQL (Postgres); NoSQL (MongoDB, Cassandra).

— Experience with monitoring and observability tools: Sentry, Prometheus, Grafana.

— Hands-on experience with AWS (Amazon Web Services).

— Experience with Python 3.

— Comfort experimenting with and integrating AI-assisted workflows into daily engineering work.