Senior backend engineer · Go · 3+ years · High load
I turn messy financial and data-heavy domains into fast, reliable services that survive real traffic.
Senior Go engineer building microservices, REST/gRPC APIs, and event-driven systems for regulated fintech and investment-style products—think trading flows, analytics, payments, and backends that must stay correct under pressure.
Blockchain and tokenized-asset platforms are part of the picture; I’m also curious about NLP, generative models, and recommendation pipelines as a natural extension of data-heavy backends.
| 500K+ | transactions through a digital financial assets platform in one year |
| ~12K RPS | peak design target for core investment features (positions, P&L, history) |
| 100× | migration pipeline speedup via parallel work across Kubernetes |
| 5× / 30% | cheaper startup allocations and lower memory after cache redesign |
| 12+ | regulated financial products shipped in a year |
Plus: Saga-style consistency across Postgres + Cassandra to stop cross-store drift, and Google Benchmark wired into CI so a ~1.5× regression never sneaks to prod quietly.
Go · C++ · Python · Java · Cassandra · Redis · ClickHouse · Docker · Helm · AWS · GCP · Prometheus · Grafana · OpenTelemetry · Vault · Kong · CI/CD (GitLab, TeamCity)
| Project | Idea |
|---|---|
| chat-room | Decentralized P2P messenger in Go—pub/sub, direct peers, UI client |
| Kons_challenge | Fast word-pair search in text (C++), with Behave BDD tests |
| Telegram-news-analyzer | Bot that scores channel posts for negativity |
Open to interesting backend / platform / fintech-adjacent conversations
