Senior Backend Engineer - Remote, Elixir & High-Load Systems

DICE

United States

Remote

USD 78,000 - 123,000

Full time

12 days ago

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Job summary

DICE is seeking a Senior Backend Engineer for a Spain-based role with 100% remote work options within +/-2 hours of the UK. You will drive architecture for high-load systems predominantly using Elixir, feeding apps via GraphQL and REST while deploying to Kubernetes clusters.

You’ll collaborate with product and design, mentor engineers, and push for best practices in testing, docs and production readiness. Stack includes Elixir, GraphQL/REST, PostgreSQL, Redis and Kubernetes.

Qualifications

  • Extensive production experience with Elixir, OTP and Phoenix.
  • Strong track record designing and developing distributed systems at scale.
  • Experience integrating complex third-party services and handling failures.
  • Deep understanding of PostgreSQL/Redis and query performance.
  • Knowledge of Linux internals and OS behaviour.
  • Experience mentoring engineers and influencing technical decisions.

Responsibilities

  • Architect and develop high-load backend systems in Elixir.
  • Lead technical discussions to translate requirements into specs.
  • Mentor mid-level and junior engineers and conduct code reviews.
  • Identify bottlenecks and design scalable solutions for traffic spikes.
  • Champion testing, documentation and maintainability across teams.

Skills

Elixir
Phoenix
OTP
Distributed systems
Mentoring
Code reviews
Performance tuning
Linux knowledge

Tools

GitHub
Drone CI
Kubernetes
PostgreSQL
Redis

Job description

DICE is seeking a Senior Backend Engineer for a Spain-based role with 100% remote work options within +/-2 hours of the UK. You will drive architecture for high-load systems predominantly using Elixir, feeding apps via GraphQL and REST while deploying to Kubernetes clusters.

You’ll collaborate with product and design, mentor engineers, and push for best practices in testing, docs and production readiness. Stack includes Elixir, GraphQL/REST, PostgreSQL, Redis and Kubernetes.

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