What you'll do

• Design, write, and ship critical platform components: policy engine, signing orchestration, key lifecycle workflows, recovery flows, approvals, audit trails, multi-tenant wallet and account services.
• Lead non-trivial cross-cutting initiatives in your area — through written RFCs, design reviews, and code, not through hierarchy.
• Build high-load, multi-tenant SaaS systems: tenant isolation, quotas, rate limits, backpressure, concurrency control, predictable latency under spikes.
• Distributed systems & reliability: idempotency, retries, outbox/inbox, event-driven workflows, sagas and state machines, replay, graceful degradation.
• Security-by-design: least privilege, secret handling, mTLS/JWT, tamper-evident logs, audit-ready data models — designed for SOC 2, ISO 27001, and DORA scope from day one.
• Performance & data: profiling, load testing, benchmarking, contention analysis, GC tuning; strong relational modelling (Postgres or equivalent), migrations, indexing, clear consistency boundaries.
• AI-assisted development as a core competency: ship production code with Claude Code, Cursor, and Codex; build the prompt and agent patterns that work for your area; contribute to the company's AI engineering practices; know when to use AI heavily (periphery, integrations, tests, docs) and when not to (cryptographic core, signing paths) where blind generation is unsafe.
• Set patterns and shared libraries for the services your area touches; raise the bar through code review and example.
• Own features end-to-end: design notes / RFCs, code, tests, observability, rollout, on-call. No "throw it over the wall" handoffs.
• Mentor senior engineers: your reviews and your written designs are the strongest signal to the rest of the team.

Must-have experience

• Strong CS fundamentals — our primary screening criterion. You can reason from first principles about concurrency, distributed systems, consistency models, networking, and OS behaviour. You know not just what locks and channels do, but why and when. You understand what's happening under the hood, not only at the API level.
• Ownership mindset. You've owned non-trivial production systems end-to-end — design, ship, measure, improve, on-call. You don't wait to be told what to do, and you don't ship code you don't understand.
• 10+ years backend engineering, including 3+ years operating at Staff level (or equivalent senior IC scope).
• Strong production experience in a modern systems language — Go, Rust, Java, C++, or comparable.
• Hands-on Go experience, or genuine readiness to ramp on Go in the first month.
• Track record of Staff-level technical leadership through code, RFCs, and influence — without formal authority over teams. You can point to RFCs you wrote that the team adopted, initiatives you drove without being the manager, patterns you set that outlasted you.
• Proven track record building high-load, multi-tenant SaaS in production (HA, incident response, SLOs).
• Hands-on with modern backend stacks: gRPC/HTTP, queues/streams, caching, relational databases, Kafka/NATS or equivalent.
• Strong testing discipline: unit/integration/contract tests, testability-first design, deterministic CI.
• Strong observability habits: structured logging, metrics, tracing, end-to-end production debugging.
• REQUIRED: production-grade use of modern AI coding tools (Claude Code, Cursor, Codex, or comparable). You can point at what you've built with them. You read AI-generated code as a hostile reviewer, not a grateful recipient — you have instincts for what AI tends to get wrong, and you don't ship code you couldn't have written yourself.

Nice to have

• Exposure to custody, wallets, or signing systems (MPC, HSM, TEE, key management, approvals).
• Hardware wallet integration (Ledger).
• Multiple blockchain ecosystems (EVM and Bitcoin minimum; Cosmos, Solana, others a plus).
• Built custom agents, MCP integrations, or in-repo AI workflows that compounded a team's productivity.
• Designed and run evals for AI-generated code (correctness, security, style).
• Kubernetes and service mesh in production; SRE practices.
• Regulated-environment experience (fintech, security audits, compliance-driven engineering).
• Threat modelling and security review participation.
• Familiarity with SOC 2, ISO 27001, and DORA — enough to design for them.

Soft skills

• Ownership mindset above all else: you ship, you measure, you improve.
• Leads through writing, code, and example — not through hierarchy.
• Clear written communication: design notes, RFCs, incident write-ups, trade-offs.
• Pragmatic technical leadership: raises the bar without blocking progress.
• Mentorship: helps senior engineers become faster, safer, more independent.
• Comfortable in ambiguity; aligns technical decisions with product and risk.

What this role is NOT

• A people management role.
• A pure architecture / whiteboard role. You write production code in this codebase every week, and platform-wide architectural ownership sits elsewhere.
• A research-only cryptography role. You collaborate with our Cryptography Researcher; your focus is platform engineering, not protocol design.
• Pure feature ticket execution. If you wait to be told what to do, this won't work.

What we offer

• A Staff IC role with real technical leadership — no people management, no sprint mechanics gauntlet, no architecture-by-committee