Senior AWS DataOps Engineer - Remote & Flexible Hours

BairesDev

Chile

Remote

CLP 115,942,000 - 173,913,000

Full time

14 days+

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Benefits offered by this job

100% remote work
Competitive USD compensation
Hardware and software setup
Flexible hours
Paid parental leaves, vacations, and ~
Global team mentorship and growth

Job summary

BairesDev, a fully remote tech leader, is seeking a Senior AWS DataOps Engineer to strengthen data pipelines with validation gates and improve deployment repeatability across the toolchain.

You will leverage GitHub Actions, CloudFormation, EKS, and Argo CD to support lineage and change-impact analyses while collaborating with a global Top 1% engineering team.

This role offers excellent USD compensation and flexible hours in a fully distributed work environment.

Qualifications

  • 5+ years of experience as a Senior DataOps or Platform Engineer with AWS.
  • Strong experience building CI/CD pipelines specifically for data platforms.
  • Experience with GitHub Actions.
  • Hands-on experience with Kubernetes (EKS).
  • Experience with Argo CD.
  • Advanced proficiency in English.

Responsibilities

  • Build validation and approval gates into existing CI/CD pipelines for data platforms.
  • Harden deployment repeatability across the existing toolchain.
  • Support lineage capabilities for upstream and downstream change-impact analysis.
  • Work within GitHub Actions, CloudFormation, EKS, and Argo CD without introducing platform replacements.

Skills

CI/CD
Data platforms
AWS
English

Tools

GitHub Actions
Kubernetes (EKS)
Argo CD
CloudFormation

Job description

BairesDev, a fully remote tech leader, is seeking a Senior AWS DataOps Engineer to strengthen data pipelines with validation gates and improve deployment repeatability across the toolchain.

You will leverage GitHub Actions, CloudFormation, EKS, and Argo CD to support lineage and change-impact analyses while collaborating with a global Top 1% engineering team.

This role offers excellent USD compensation and flexible hours in a fully distributed work environment.

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