via Lever · 15. September 2026 ·vor 4 Tagen

Senior Backend Engineer - Hyperliquid ecosystem

jobgether
Germany Vollzeit
Diese Anzeige stammt von Lever
Zum Original-Inserat ↗

Accountabilities

  • Own key architecture and technical decisions across backend systems, ensuring they remain scalable, reliable, and performant.

  • Build and operate real-time data pipelines handling order book updates, trades, and market events.

  • Design, develop, and maintain API infrastructure, including GraphQL and WebSockets, for web and mobile clients.

  • Work extensively with PostgreSQL, Redis, ClickHouse, and similar technologies to support high-volume trading data.

  • Optimize queries, caching strategies, schemas, and data access patterns as usage and data volumes grow.

  • Instrument services with appropriate metrics, monitoring, and alerting, and participate in on-call rotations.

  • Investigate and resolve latency, memory, performance, and reliability issues under demanding production workloads.

  • Partner with frontend and mobile engineers to deliver analytical and real-time data through robust APIs.

  • Contribute to a fast-paced 0-to-1 development environment where engineers have meaningful ownership over what they build.
Requirements
  • 5+ years of professional backend engineering experience, ideally with strong production experience in TypeScript.

  • Proven experience designing and operating real-time systems using WebSockets, event streaming, pub/sub, or similar technologies.

  • Deep knowledge of PostgreSQL and Redis; experience with ClickHouse or another columnar database is highly valued.

  • Demonstrated experience operating highly available services at significant scale.

  • Strong understanding of trading concepts, including orders, fills, order books, positions, and execution.

  • Experience designing APIs for latency-sensitive, high-throughput applications and clients.

  • Excellent debugging and performance optimization skills, including experience diagnosing slow queries, memory leaks, and production bottlenecks.

  • Strong understanding of backend architecture, distributed systems, and integration patterns.

  • Familiarity with EVM-based systems, DeFi, or on-chain data is advantageous.

  • Experience with Kafka or comparable streaming technologies is a plus.

  • Background in trading platforms, fintech, low-latency applications, or other performance-critical environments is a plus.

  • Strong ownership, communication, collaboration, and problem-solving skills, with the ability to thrive in an ambiguous and rapidly evolving environment.
Benefits
  • Salary: $150,000–$200,000 USD per year for a full-time permanent position, plus equity and benefits.

  • Remote-first: Work remotely from Europe or the USA.

  • Remote setup stipend: Budget for a laptop, peripherals, and other equipment needed to create your ideal workspace.

  • Global collaboration: Multiple in-person team offsites and coworking opportunities around the world.

  • Flexible vacation: Flexible time-off policy with genuine encouragement to disconnect and recharge.

  • Learning & development: Dedicated budget to support continuous learning and professional growth.

  • Permanent employment: Full-time, permanent contract with a remote working model.

Der Markt für diese Art von Stelle

Ähnliche Angebote
76
Ingenieurwesen in Germany
Vollzeit
81%
der Ingenieurwesen-Angebote in Deutschland
Remote möglich
29%
der Ingenieurwesen-Angebote
jobgether

200 offene Stellen · Argentina, Austria, Belgium, France, Germany +11

📊 Ingenieurwesen · Deutschland
1.928
aktive Stellen
30.2%
Remote
Ø 3d
Ø online
Gefragte Skills
ExcelERPISOPythonAWSCI/CDSQLAzureAgileLean

Häufige Fragen

Wie viele Ingenieurwesen-Jobs gibt es in Germany?
Aktuell 76 Stellen im Bereich Ingenieurwesen in Germany auf AlmostHired, bei 25 verschiedenen Unternehmen. Unsere Daten werden täglich aktualisiert.
Bieten Ingenieurwesen-Stellen Home Office an?
29% der Ingenieurwesen-Angebote in Deutschland erlauben Remote-Arbeit, teilweise oder vollständig. Um gezielt nach Remote-Stellen zu filtern, nutze AlmostHired.
Wie erfahre ich, ob ich für diese Stelle passe?
Lad deinen CV hoch — unsere KI vergleicht dein Profil mit den Stellenanforderungen und zeigt dir einen präzisen Match-Score, inklusive passender und fehlender Skills.