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Dotmatics

Staff Software Engineer | Luma

Dotmatics · Mexico City, Ciudad de México, Mexico

Posted about 3 months ago

or apply directly on Dotmatics's site. We never take the application ourselves.

Is this posting real?

This role has been open
78 days
Dotmatics's roles stay open a median of 73 days
Reposted
No
Salary listed
No
0% of Dotmatics's roles list one
Ghost-job risk at Dotmatics
high
27 stale, 0 reposted of 32 open
Hiring momentum
49 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-24

Measured from postings appearing on and disappearing from Dotmatics's own greenhouse board since 2026-08-03. Full hiring picture for Dotmatics.

About this role

As a Staff Software Engineer at Dotmatics, you will lead the technical development of a data processing and execution platform that supports scientific research. Your role involves defining system architecture, migrating components to a Node.js/TypeScript and Python ecosystem, and ensuring the reliability and scalability of services. You will work on complex, distributed systems that process scientific data, focusing on improving engineering standards and practices.

Our read on this posting2.2out of 5
benefits
1/5
freshness
1/5
career value
4/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Dotmatics as an employer.

What you need

  • 12+ years of engineering experience, preferably in a SaaS environment
  • Excellent written and spoken English communication skills
  • Strong proficiency in Node.js/TypeScript and Python for building production backend services
  • Proven experience designing and implementing distributed, event-driven systems
  • Advanced working experience in Asynchronous processing
  • Hands-on experience with AWS in production environments

Nice to have

  • Experience in Scala or other JVM languages
  • Familiarity with message-based architectures using Kafka
  • Background in complex data pipelines and schema management
  • Exposure to AWS and/or GCP
  • Experience within Life Sciences or R&D data management

Worth weighing

  • No salary listed
  • Role involves migrating to a new tech stack while maintaining existing systems
  • Focus on complex distributed systems may require a steep learning curve for new technologies

Summarised from Dotmatics's posting. Read the full original.

Listed by Dotmatics on their greenhouse job board, last confirmed open on 2026-10-24. PitchMeAI is not the employer.

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