Software Engineer —Automation Infrastructure (Latam)

Alcor; Ciudad de México; Presencial; MXN 695,000 - 1,044,000; Jornada completa

Descripción de la vacante

A leading technology company is looking for a Software Engineer specializing in Automation Infrastructure to develop and maintain high-throughput data pipelines. The ideal candidate should have strong Python skills, experience with cloud infrastructure, and familiarity with test automation frameworks. You'll be crucial in ensuring reliable and efficient data ingestion processes, collaborating with various teams to design ingestion contracts and maintain service quality. This role is key for managing production services effectively.

Formación

• Proficiency in Python and a track record of writing high-quality, production-grade code.
• Strong software engineering fundamentals, including design, debugging, and reliability.
• Experience building data pipelines or ingestion systems handling high event volume.

Responsabilidades

• Design, build, and maintain high-volume log data pipelines.
• Build pipeline components and services in Python.
• Develop and maintain test automation frameworks.

Conocimientos

Proficiency in Python

Software engineering fundamentals

Data pipelines experience

Linux proficiency

Cloud infrastructure knowledge

Test automation frameworks

Distributed systems experience

Descripción del empleo

Software Engineer —Automation Infrastructure (Latam)

Job Openings Software Engineer —Automation Infrastructure (Latam)

About the job Software Engineer —Automation Infrastructure (Latam)

Software Engineer —Automation Infrastructure
About the role
Werelooking for a Software Engineer to build and operate high-throughput,reliable data pipelines that ingest logs and sensor data at scale. Youllwork end-to-end: from ingestion services and interfaces to cloudinfrastructure, to testing/automation and data quality checks that keepdatasets trustworthy and usable.
What youll do

• Design, build, and maintain high-volume log data pipelines (batch and/or streaming) with strong reliability and performance characteristics.
• Build pipeline components and services in Python, writing clean, maintainable, well-tested code.
• Interface pipeline systems with cloud infrastructure (compute, storage, networking, IAM), ensuring secure and scalable operation.
• Develop and maintain test automation frameworks for pipeline services and data processing jobs (unit, integration, end-to-end).
• Implement monitoring, alerting, and operational tooling to support pipeline health, throughput, latency, and cost visibility.
• Create and run data quality checks (schema validation, integrity checks, anomaly detection, completeness) with emphasis on video and other sensor data where applicable.
• Collaborate with platform, infrastructure, and product teams to define ingestion contracts, SLAs, and data interfaces.
• Debug production issues across services and systems; contribute to incident response and continuous improvement.

What we're looking for (required)

• Proficiency in Python and a track record of writing high-quality, production-grade code (readable, tested, well-documented, and maintainable).
• Strong software engineering fundamentals (design, debugging, performance, reliability).
• Experience building data pipelines or ingestion systems handling high event volume and/or large datasets.
• Proficiency with Linux (system tooling, networking basics, profiling, troubleshooting).
• Experience with cloud infrastructure (e.g., AWS/GCP/Azure concepts: storage, compute orchestration, IAM, networking).
• Experience building or contributing to test automation frameworks and CI-quality practices (repeatable, scalable, measurable tests).
• Comfortable working in distributed systems environments and owning services in production.