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Information Technology 🏢 Full Time ⭐️ Terverifikasi

Staff Backend Engineer

Apex Cloud Systems
San Francisco
Estimasi Gaji
USD 190.000 – USD 240.000
Waktu Posting
6 November 2026
Batas Akhir
7 Nov 2027

Deskripsi Pekerjaan

Apex Cloud Systems is seeking a visionary Staff Backend Engineer to spearhead the evolution of our next-generation distributed execution engine. In this role, you will define architecture, set engineering standards, and scale high-throughput infrastructure serving millions of global requests daily.

We prioritize pragmatic system design, high autonomy, and technical rigor. If you excel at solving complex concurrency, data consistency, and distributed consensus challenges, join us to build mission-critical infrastructure.

Tanggung Jawab

  • Architect and deploy high-throughput, low-latency microservices using Go and gRPC.
  • Design fault-tolerant distributed data storage and event streaming pipelines handling terabytes of data.
  • Drive technical strategy, architectural RFCs, and engineering standards across cross-functional squads.
  • Diagnose and remediate complex distributed systems bottlenecks, memory leaks, and network latency issues.
  • Mentor senior engineers through comprehensive code reviews, technical workshops, and architecture critiques.
  • Partner with Product and Security teams to deliver performant, compliance-ready enterprise solutions.

Kualifikasi

  • 8+ years of production experience architecting and operating distributed backend systems at scale.
  • Proficiency in Go, Rust, or modern C++ in production enterprise environments.
  • Deep expertise in distributed data systems, specifically PostgreSQL, Redis, and Apache Kafka.
  • Proven track record managing containerized workloads using Kubernetes, Docker, and AWS or GCP cloud infra.
  • Strong grasp of system design fundamentals: caching layers, consistency models, and horizontal scaling.
  • Exceptional technical communication skills with a track record of driving cross-team consensus.

Keahlian yang Dibutuhkan

Go Distributed Systems Kubernetes Kafka PostgreSQL gRPC Microservices System Design AWS

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