Senior Generalist Engineer — Systems & ML

Moniepoint Group; Spain (TX); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Salary and benefits package

Health insurance

Paid leave

Job summary

Moniepoint Inc. is hiring a senior Generalist Engineer for the Research & Development Team. You will own problems end to end and deliver complete production systems, spanning software, distributed systems, infrastructure, data, and ML where useful.

The role requires strong first-principles thinking, sound technical judgment, deep debugging ability, and willingness to work across boundaries to get the job done. ML is a tool among many.

Qualifications

• Strong CS fundamentals (DSA, OS, networking, distributed systems).
• Experience building production systems at scale.
• Ability to move across languages (Go, Java, Python, Rust, SQL).
• Understanding of system behavior under load and failure.
• Comfort with Linux, containers, Kubernetes.
• Strong debugging skills.
• Data systems, streaming systems, ML infrastructure, performance optimization.

Responsibilities

• Design and build production-grade systems that are reliable, scalable, and observable.
• Own systems end-to-end: problem → design → data → implementation → deployment → operations.
• Work across application services, distributed systems, infrastructure, data pipelines, and ML systems.
• Debug complex production issues across multiple layers.
• Raise the engineering bar and contribute to architecture and technical direction.
• Write maintainable code and documentation.

Skills

CS fundamentals

Distributed systems

Probability and statistics

Production systems at scale

Multilanguage proficiency

Linux

Containers

Kubernetes

Debugging

Data systems / ML infra

Tools

Go

Java

Python

Rust

SQL

Job description

Moniepoint Inc. is hiring a senior Generalist Engineer for the Research & Development Team. You will own problems end to end and deliver complete production systems, spanning software, distributed systems, infrastructure, data, and ML where useful.

The role requires strong first-principles thinking, sound technical judgment, deep debugging ability, and willingness to work across boundaries to get the job done. ML is a tool among many.