Remote Elixir Backend Engineer — Kafka

Zachary Piper Solutions

United States

Remote

USD 110,000 - 125,000

Full time

14 days+
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Benefits offered by this job

Health benefits
401(k)
Paid time off

Job summary

Piper Companies is seeking a Software Engineer for a world-leading technology organization supporting a fully remote workforce. The role focuses on designing and building scalable backend systems using Elixir and OTP, with Kafka for high-throughput data streaming and event-driven architecture.

Candidates should have 4+ years in backend or distributed systems, strong Elixir skills, and hands-on experience with Kafka and cloud platforms (AWS, Azure or GCP).

Qualifications

  • 4+ years of software engineering experience with a focus on backend or distributed systems.
  • Strong proficiency in Elixir and functional programming paradigms.
  • Hands-on experience with Kafka or similar streaming platforms (e.g., Pulsar, RabbitMQ).
  • Familiarity with microservices architecture, APIs, and cloud platforms (AWS, Azure, or GCP).

Responsibilities

  • Design, develop, and maintain scalable backend services using Elixir and OTP frameworks.
  • Implement and manage event-driven architectures leveraging Kafka for data streaming and messaging.
  • Collaborate with cross-functional teams to build resilient, high-availability systems.
  • Optimize system performance, reliability, and scalability in distributed environments.
  • Troubleshoot and resolve production issues while continuously improving system architecture.

Skills

Elixir
Kafka
Distributed systems
Microservices
APIs
AWS
Azure
GCP

Tools

Kafka

Job description

Piper Companies is seeking a Software Engineer for a world-leading technology organization supporting a fully remote workforce. The role focuses on designing and building scalable backend systems using Elixir and OTP, with Kafka for high-throughput data streaming and event-driven architecture.

Candidates should have 4+ years in backend or distributed systems, strong Elixir skills, and hands-on experience with Kafka and cloud platforms (AWS, Azure or GCP).

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