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6 дней назад

Devops Engineer

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
c1
Страна
Argentina/Uruguay
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Devops Engineer: Supporting the implementation of a modern AWS-based data platform with an accent on building and operationalizing infrastructure, deployment pipelines, and monitoring frameworks. Focus on ensuring infrastructure reliability, scalability, and operational excellence.

Location: Montevideo, Uruguay

Company

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people.

What you will do

  • Design and implement infrastructure as code (IaC) following established architecture patterns and standards.
  • Develop reusable modules using Terraform and/or AWS CDK for services such as Amazon Web Services Glue, S3, Lake Formation, IAM, Step Functions, and EventBridge.
  • Build and maintain CI/CD pipelines for automated testing, linting, and deployments across development, staging, and production environments.
  • Implement monitoring and observability solutions, including dashboards, alerts, and automated notifications using CloudWatch.
  • Manage environment provisioning, release orchestration, and deployment automation.
  • Collaborate with engineering and platform teams to ensure infrastructure reliability, scalability, and operational excellence.

Requirements

  • 2+ years of experience in DevOps, platform engineering, or cloud infrastructure roles.
  • Experience across Amazon Web Services service.
  • Knowledge with Terraform or AWS CDK.
  • Experience building and maintaining CI/CD pipelines.
  • Proficiency in Python.
  • Experience with monitoring, observability, and alerting tools.
  • Knowledge of infrastructure security, IAM, and cloud governance best practices.
  • Advanced English required (written and spoken).

Nice to have

  • Experience with serverless architectures and event-driven systems.
  • Familiarity with data services such as Glue, Lake Formation, or modern data lake implementations.
  • Exposure to Agile delivery environments and platform enablement teams.

Culture & Benefits

  • Learning Opportunities: Certifications in AWS, Databricks, and Snowflake.
  • Access to AI learning paths to stay up to date with the latest technologies.
  • Career development plans and mentorship programs to help shape your path.
  • Flexible working options to help you strike the right balance.

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