Backend Engineer, Annotation Systems — Distributed ML Pipelines

obvio; San Carlos del Zulia; Presencial; VES 102.828.000 - 137.104.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity

Competitive compensation

Descripción de la vacante

Obvio AI is seeking a backend software engineer to power our annotation workflows and distributed data review pipelines. You’ll translate ambiguous requirements into robust APIs and scalable services.

You’ll collaborate with product, ML, and ops teams to build observable, secure systems that perform under real-world load, with an emphasis on reliability, security, and clean code. Joining a small, fast-moving team, you’ll own meaningful components and contribute to architectural decisions that

Formación

• 3–5 years of backend engineering experience.
• Experience building and maintaining production distributed systems.
• Comfort with operational practices — observability, alerting, and failure recovery.
• Working knowledge of security principles, including least privilege and secure transport/storage.
• Ability to translate requirements into solid design and interfaces.

Responsabilidades

• Help design and build distributed systems that support high-throughput data review and annotation pipelines.
• Build systems that prioritize performance and reliability under real-world load.
• Apply strong security and privacy practices, including access control and auditable workflows.
• Translate cross-functional requirements into clean APIs and backend abstractions.
• Collaborate with product, ML, and operations to streamline efficiency and feedback loops.
• Participate in design reviews and contribute to architectural decisions on your team's systems.
• Write clean, well-tested, maintainable code and provide thoughtful code reviews.

Conocimientos

Backend engineering

Distributed systems

Observability & ops

Security principles

API design

Team collaboration

Descripción del empleo

Obvio AI is seeking a backend software engineer to power our annotation workflows and distributed data review pipelines. You’ll translate ambiguous requirements into robust APIs and scalable services.

You’ll collaborate with product, ML, and ops teams to build observable, secure systems that perform under real-world load, with an emphasis on reliability, security, and clean code. Joining a small, fast-moving team, you’ll own meaningful components and contribute to architectural decisions that