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

Financials

1K-5K (2000)

Founded 2015

33 open positions

Links

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Principal Generalist Engineer

4 weeks ago

Spain

Full-time

Lead

Machine Learning Engineer

Software Development

Go Java Kubernetes Linux Machine Learning Python Rust SQL

Apply Now

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 33

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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