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Information Technology 🏢 Full Time ⭐️ Terverifikasi

Staff Backend Engineer - Distributed Systems

Nexus Infrastructure Labs
San Francisco
Estimasi Gaji
USD 190.000 – USD 240.000
Waktu Posting
7 November 2026
Batas Akhir
8 Nov 2027

Deskripsi Pekerjaan

Nexus Infrastructure Labs is looking for a Staff Backend Engineer to drive the architectural evolution of our low-latency distributed storage layer. In this role, you will lead the core systems group responsible for high-throughput data processing engines handling over 10 million transactions per second.

We prioritize zero-cost abstractions, operational reliability, and pragmatic systems architecture. You will work alongside world-class systems engineers to deliver robust, mission-critical infrastructure that powers enterprise-scale cloud operations globally.

Tanggung Jawab

  • Architect, implement, and maintain high-throughput, low-latency microservices using Go and Rust.
  • Lead cross-functional engineering initiatives focused on distributed data storage and consensus protocols.
  • Perform deep root-cause analysis on complex concurrency and performance bottlenecks across production clusters.
  • Optimize system throughput and minimize p99 latencies across heterogeneous multi-cloud environments.
  • Define architectural guidelines, testing standards, and best practices across the backend engineering organization.
  • Mentor senior and mid-level engineers through detailed code reviews and system design guidance.

Kualifikasi

  • 8+ years of production experience building large-scale distributed systems and cloud services.
  • Demonstrated proficiency in systems languages such as Go, Rust, or modern C++.
  • Deep understanding of distributed consensus algorithms (Raft, Paxos) and storage engines (LSM-trees, B-trees).
  • Hands-on expertise with Linux internals, eBPF, network profiling, and low-level performance tuning.
  • Extensive experience managing relational and distributed databases such as PostgreSQL, CockroachDB, or Cassandra.
  • Proven track record of designing fault-tolerant, resilient architectures operating at petabyte scale.

Keahlian yang Dibutuhkan

Go Rust Distributed Systems Microservices Kubernetes PostgreSQL Linux Internals High Concurrency Architecture

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