Staff Data Platform Engineer - Remote

Dotmatics

Ciudad de México

Híbrido

MXN 1.200.000 - 1.800.000

Jornada completa

14 días+

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Descripción de la vacante

Dotmatics is seeking a Staff Software Engineer to lead data processing and execution platform workloads. You will drive architecture for distributed services handling data commits, transformations, and workflows across shared compute infrastructure.

This role requires migrating components to Node.js/TypeScript and Python, with emphasis on reliability, observability, and scalability in a SaaS environment. Strong English communication and collaboration across teams are essential.

Formación

  • 12+ years of engineering experience, preferably in a SaaS environment.
  • Degree in Computer Science, Software Engineering, or equivalent.
  • Excellent written and spoken English communication skills are essential.

Responsabilidades

  • Define and drive system architecture for event-driven data processing services, migrating key components to a Node.js/TypeScript and Python ecosystem.
  • Contribute to and improve engineering standards, patterns, and best practices for distributed systems, observability, and reliability across a multi-service platform.
  • Architect and implement asynchronous data processing pipelines for high-volume scientific data with at-least-once delivery, backpressure, and graceful degradation.
  • Guarantee the scalability, maintainability, and security of software solutions running on Kubernetes and AWS.
  • Take ownership of existing services, understand behavior, and evolve them pragmatically.

Conocimientos

English communication
Distributed systems
Node.js
TypeScript
Python
Kafka
GraphQL
REST APIs
AWS
Kubernetes
CI/CD
Spark

Educación

Bachelor's degree in Computer Science or Software Engineering

Herramientas

Node.js
TypeScript
Python
Kafka
GraphQL
REST APIs
Spark
Databricks
Snowflake
Kubernetes
AWS
GitHub Actions

Descripción del empleo

Dotmatics is seeking a Staff Software Engineer to lead data processing and execution platform workloads. You will drive architecture for distributed services handling data commits, transformations, and workflows across shared compute infrastructure.

This role requires migrating components to Node.js/TypeScript and Python, with emphasis on reliability, observability, and scalability in a SaaS environment. Strong English communication and collaboration across teams are essential.

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