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Fundamental Research LabsFundamental Research LabsUnited States

Backend Engineer - Extensions

Develop and productize data science capabilities for enterprise AI platform. Own reliability, performance, and scalability of Extensions backend with focus on distributed workflows and production-grade Python systems.

Salary not listed
Remote5+ YOEBackend Engineering

About the role

Key Responsibilities

  • Own the reliability, performance, and scalability of Extensions capabilities end to end
  • Design and build distributed workflows that are efficient, reproducible, and observable in production
  • Collaborate closely with Data Scientists on the team to deeply understand requirements and translate them into engineering decisions
  • Identify and resolve performance bottlenecks, ensuring Extensions capabilities meet the latency and throughput demands of enterprise deployments
  • Contribute to architectural decisions around how Extensions integrates with the broader NEXUS backend
  • Write clean, well-tested Python code and hold a high bar for code quality across the team
  • Contribute to internal engineering documentation and help establish best practices for backend development within the team

Requirements

  • 5+ years of backend engineering experience, with a strong focus on Python
  • Excellent Python skills - write clean, idiomatic, well-tested code and know the language deeply
  • Solid experience designing and operating distributed systems at production scale
  • Strong understanding of concurrency, task execution, and workflow orchestration patterns
  • Experience building systems that are reproducible, observable, and easy to debug in production
  • Ability to work closely with non-engineering counterparts and translate complex requirements into reliable implementations
  • Strong ownership mindset - drive work end to end and care about outcomes, not just output

Nice to Have

  • Hands-on experience with workflow orchestration systems such as Temporal, Dramatiq, Celery, or equivalent
  • Familiarity with ML infrastructure or experience working alongside data science teams
  • Experience with high-throughput data processing pipelines
  • Exposure to Kubernetes and container-based deployment environments
  • Background in performance profiling and optimization of Python services

Benefits

  • Competitive compensation with salary and equity
  • Comprehensive health coverage for you and your dependents
  • Paid parental leave for all new parents, inclusive of adoptive and surrogate journeys
  • Relocation support for employees moving to join the team in one of our office locations
  • A mission-driven, low-ego culture that values diversity of thought, ownership, and bias toward action

Skills

PythonDistributed SystemsWorkflow OrchestrationConcurrencyTask ExecutionKubernetesCeleryTemporalDramatiqML Infrastructure
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