Principal Generalist Engineer
Moniepoint19 days ago
Remote, SpainStaff+
Responsibilities
- Design and build reliable, scalable, observable production systems.
- Own problems end to end from problem definition and design through data, implementation, deployment, and operations.
- Work across application services, distributed systems, infrastructure, data pipelines, and ML systems.
- Debug complex production issues across multiple system layers.
- Improve performance, latency, reliability, and cost efficiency.
- Contribute to architecture and technical direction while writing maintainable code and documentation.
- Determine when ML is appropriate versus deterministic systems.
- Train, evaluate, and iterate on models; build reproducible pipelines; deploy models; and monitor performance, drift, and cost.
- Raise engineering standards and reduce system complexity.
Requirements
- Strong computer science fundamentals in data structures and algorithms, operating systems, networking, and distributed systems.
- Solid probability and statistics knowledge.
- Experience building production systems at scale.
- Ability to work across Go, Java, Python, Rust, and SQL.
- Understanding of system behavior under load and failure.
- Comfort with Linux, containers, and Kubernetes.
- Strong debugging skills and the ability to reason using invariants and failure modes.
- Experience or capability in data systems, streaming systems, ML infrastructure, and performance optimization.
- Strong technical judgment, first-principles thinking, ownership, curiosity, and clear communication.
Benefits
- Attractive salary, pension, health insurance, paid leave, and other benefits.
- People-first culture emphasizing well-being, inclusion, respect, and employee voice.
- Learning and development environment with knowledge sharing, training, and regular internal technical talks.
- Remote role, indicated by the #LI-Remote listing.
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