Senior DevOps Engineer (Data Platforms)

New
P
phDataData and AI Consultancy
LATAM - Remote, Supports clients in Eastern and Central time zones in the USFull-TimeSenior
Salary not disclosed
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Job Details

Languages
English
Experience
6+ years
Required Skills
AWSPythonSQLAzureCI/CDLinuxTerraformCloudFormation

Requirements

  • 6+ years of hands-on experience in DevOps, cloud platform engineering, or infrastructure.
  • Strong cloud platform experience across AWS and/or Azure, including S3, ADLS, IAM, networking, compute, and secrets management.
  • Proven hands-on experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation).
  • Solid experience designing and operating CI/CD pipelines and tooling (e.g., GitHub Actions, Bitbucket Pipelines, Azure DevOps).
  • Proficiency in Python for scripting and operational tooling.
  • Working knowledge of SQL for platform troubleshooting and data flow validation.
  • Working knowledge of Unix/Linux environments and system administration concepts.
  • Experience delivering projects for external or internal clients in a professional services or managed services environment.
  • Strong written and verbal communication skills in English.
  • Active daily use of AI coding tools with demonstrated judgment.
  • Bachelor's degree in Computer Science, IT, Engineering, or equivalent practical experience.

Responsibilities

  • Own and drive end-to-end operational delivery for cloud-native data platform environments (AWS, Azure) across multiple managed services clients.
  • Translate business and technical requirements into resilient, cost-effective platform solutions aligned with phData methodologies.
  • Build, deploy, and maintain infrastructure-as-code configurations and CI/CD pipelines.
  • Monitor and support production data jobs and pipelines (ETL/ELT), ensuring timely resolution of failures.
  • Collaborate with Solutions Architects, data engineering teams, and client stakeholders to deliver integrated engagements.
  • Provide technical leadership during troubleshooting sessions, infrastructure reviews, and platform deployments.
  • Contribute to internal initiatives such as building IaC templates, automation scripts, and operational playbooks.
  • Mentor peers and junior engineers, fostering a culture of learning and continuous improvement.
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