5 publicaciones de empleo destacadas de data software engineer en desde casa (¡Están contratando!)

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Lead AI Engineer
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AWS DevOps Engineer

ScaleUp
Desde casa

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Hace 1 día

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AWS DevOps Engineer

Location: Argentina — Remot
Type: Full-time, long-term contractor
Eligibility: This opportunity is open exclusively to candidates based in Argentina.

About the Company

Our client is a leading cloud-first consulting company delivering Managed Services, Staffing, and Professional Services. With a remote-first global team across North America, Europe, and Southeast Asia, the company helps organizations embrace cloud technologies through innovative, customer-focused solutions.

The organization values collaboration, agility, innovation, integrity, diversity and inclusion, and offers an environment where talented professionals can work on meaningful, cutting-edge initiatives.

About the Role

Our client is looking to hire an experienced AWS DevOps Engineer to design, implement, and manage secure, scalable, and high-performing cloud infrastructure.

This role is ideal for a hands-on DevOps professional with strong AWS experience, a background in cloud migration and modernization, and the ability to build robust automation and CI/CD practices across customer projects.

What You’ll Do

Design, implement, and manage scalable, secure, and reliable AWS infrastructure.
Lead AWS migration and modernization initiatives from legacy environments to cloud-based solutions.
Build and optimize CI/CD pipelines and automation practices.
Architect deployment strategies focused on high availability, fault tolerance, performance, and security.
Establish internal DevOps processes and workflows that improve project delivery and collaboration.
Implement and manage containerized solutions using Kubernetes and Docker.
Use tools such as GitHub Actions, AWS CodeSuite, and CircleCI to automate software delivery.
Apply AWS Well-Architected Framework principles across infrastructure and deployment decisions.
Troubleshoot complex infrastructure, deployment, and performance issues.
Stay informed on developments in Data, AI, and Machine Learning and apply relevant technologies when appropriate.
Mentor junior team members and promote knowledge sharing across the team.

What We’re Looking For

5+ years of hands-on DevOps and AWS infrastructure experience.
Strong experience with AWS services, including EC2, S3, RDS, Lambda, CloudFormation, EKS, and ECS.
Proven experience with AWS migration and modernization projects.
Strong Kubernetes and Docker expertise.
Experience building and maintaining CI/CD pipelines with GitHub Actions, AWS CodeSuite, CircleCI, or similar tools.
Strong Infrastructure as Code experience using Terraform and/or CloudFormation.
Solid knowledge of AWS Well-Architected Framework best practices.
Strong troubleshooting, ownership, and problem-solving skills.
AWS Professional and Specialty certifications are highly valued.
Exposure to Data, Machine Learning, or AI technologies is a plus.
Advanced English communication skills.

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