Architect and scale high-concurrency payment microservices, event streaming pipelines, and low-latency database topologies in Go and Kafka.
“High-stakes software requires engineers who take extreme ownership of failure domains, developer velocity, and long-term maintainability.”
Our clients process millions of critical transactional mutations daily. As traffic scales 10x, single-node databases and synchronous APIs hit contention cliffs. This role exists to design, deploy, and own resilient, zero-downtime distributed pipelines that guarantee data integrity and sub-second settlement under extreme load.
Architect resilient pipelines that sustain high throughput under volatile load without performance degradation.
Eliminate race conditions, unhandled failure modes, and architectural ambiguity with rigorous typing and automated verification.
Drive technical direction, author Technical Decision Records (ADRs), and guide squad standards with total autonomy.
You will not be micromanaged through tickets. You are trusted to operate as the technical authority for these core domains:
Own technical RFCs and Architecture Decision Records for multi-region transactional topologies.
Guarantee < 45ms P99 latency budgets across database queries and event dispatchers.
Design dual-write Kafka CDC bridges to migrate legacy databases without client downtime.
Establish peer review rigor, type-safe contract tests, and automated canary deployment gates.
Tangible distributed software, deterministic AI infrastructure, and design systems deployed into global production.
Idempotent clearing and settlement microservice handling high-frequency mutations.
Partitioned Kafka streaming topology with Redis Lua in-memory credit buffers.
Automated weighted routing and rollback gates on multi-region Kubernetes clusters.
We operate as tightly integrated product squads with transparent communication and minimal meeting fatigue.
80% asynchronous execution in GitHub & Linear with weekly live architecture spikes.
Clear, transparent milestones so you always know where you stand and what is expected of you.
Audit current database lock contention bottlenecks and ship your first Go PR to staging.
Complete RFC for the Kafka streaming clearing engine and run successful staging canary benchmarks.
Deploy the clearing engine to production handling >10,000 req/sec with 99.99% uptime.
We value deep craftsmanship, clear systems thinking, and production experience over credentialism.
A fast, respectful, and practical 4-step interview journey designed by engineers for engineers. No algorithmic leetcode puzzles or artificial trick questions.
A casual conversation with our engineering leadership to discuss your background, career goals, and ensure mutual cultural alignment.
No whiteboard leetcode puzzles or artificial trick questions. We dive into a real-world system architecture challenge relevant to our daily client work.
Review a real pull request or open-source contribution together with the peers you would be working alongside daily.
Transparent, market-leading compensation offer with clear leveling, equity options where applicable, and immediate start onboarding.
Our Commitment to Candidates: We respond to every application within 5 business days, provide specific technical feedback after architecture reviews, and make offers within 48 hours of final rounds.
| Department | Engineering |
|---|---|
| Seniority Level | Senior |
| Location & Model | Remote (Worldwide) — Remote-First (Async Cadence) |
| Employment Type | Full-time |
| Compensation Benchmark | $140,000 – $185,000 USD + Performance Bonus (Based on technical contribution, not geography) |
| Primary Tech Stack | GoPostgreSQLApache KafkaRedisDockerKubernetesAWS/GCP |
Reviewed directly by senior engineering leads. We respond to every application within 5 business days.
