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Principal Generalist Engineer

13 minutes ago
Spain
Full-time
Lead
Machine Learning Engineer
Software Development
Go Java Kubernetes Linux Machine Learning Python Rust SQL
Apply Now
Moniepoint

Moniepoint

Moniepoint offers a comprehensive payments, banking, and operations platform designed to support the growth of businesses and enhance financial accessibility for customers in emerging markets.

Diversified Financial Services
1K-5K
Founded 2015
View All Jobs 51

Description

  • Design and build production-grade systems that are reliable, scalable, and observable.
  • Own systems end to end from problem definition through design, data, implementation, deployment, and operations.
  • Work across application services, distributed systems, infrastructure, data pipelines, and machine learning systems.
  • Debug complex production issues across multiple layers of the stack.
  • Make engineering trade-offs grounded in first-principles reasoning.
  • Improve performance, latency, reliability, and cost efficiency.
  • Contribute to architecture and technical direction.
  • Write maintainable code and documentation.
  • Determine when to use machine learning versus deterministic systems.
  • Train, evaluate, iterate on, deploy, and monitor machine learning models and pipelines.

Requirements

  • Strong computer science fundamentals, including data structures and algorithms, operating systems, networking, and distributed systems.
  • Solid knowledge of probability and statistics.
  • Experience building production systems at scale.
  • Ability to work across multiple languages, including Go, Java, Python, Rust, and SQL.
  • Understanding of system behavior under load and failure.
  • Comfort with Linux, containers, and Kubernetes.
  • Strong debugging skills.
  • Ability to reason using invariants and failure modes.
  • Experience with data systems, streaming systems, ML infrastructure, or performance optimization.
  • Experience with machine learning systems is relevant but not required as a default approach.

Benefits

  • Attractive salary.
  • Pension.
  • Health insurance.
  • Paid leave.
  • Learning and development-focused environment.
  • Knowledge sharing and training.
  • Regular internal technical talks.

Interested in this position?

Apply directly on the company website

Apply Now

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