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Information Technology 🏢 Full Time ⭐️ Terverifikasi

Senior Backend Engineer

Apex Cloud Systems
San Francisco
Estimasi Gaji
USD 165.000 – USD 210.000
Waktu Posting
8 November 2026
Batas Akhir
8 Nov 2027

Deskripsi Pekerjaan

Apex Cloud Systems is seeking a Senior Backend Engineer to architect, build, and scale our core distributed data platform. You will lead technical design for high-throughput microservices, optimize low-latency storage engines, and drive system resilience across multi-region cloud infrastructure.

The ideal candidate brings deep systems-level knowledge, a track record of scaling high-concurrency production applications, and a passion for engineering rigor and clean architecture.

Tanggung Jawab

  • Architect and maintain high-throughput, low-latency microservices using Go and gRPC.
  • Optimize relational (PostgreSQL) and distributed caching (Redis) layers for peak traffic loads.
  • Design resilient event-driven architectures leveraging Apache Kafka for real-time data streaming.
  • Implement infrastructure-as-code and automated deployment pipelines via Terraform, Docker, and Kubernetes on AWS.
  • Drive engineering standards through thorough design documents, automated testing, and comprehensive code reviews.
  • Investigate production anomalies, lead root cause analyses (RCAs), and optimize core system performance.

Kualifikasi

  • 5+ years of professional backend software engineering experience in Go, Rust, or modern C++.
  • Proven experience operating scalable distributed systems handling over 10,000 requests per second.
  • Expertise in SQL query optimization, transaction isolation levels, and indexing strategies in PostgreSQL.
  • Hands-on production proficiency with Kubernetes, Docker, and AWS cloud networking/compute services.
  • Strong grasp of concurrency patterns, distributed consensus, data consistency models, and API security.
  • BS or MS in Computer Science, Computer Engineering, or equivalent practical industry experience.

Keahlian yang Dibutuhkan

Go Distributed Systems PostgreSQL Kubernetes Docker AWS Redis Kafka gRPC Terraform

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