DevOps Engineer (AWS)

TL;DR

DevOps Engineer (AWS): Designing and maintaining secure, scalable cloud infrastructure and CI/CD pipelines with an accent on Infrastructure as Code and container orchestration. Focus on improving system resiliency, implementing observability, and leveraging AI-assisted tools for infrastructure analysis.

Location: Remote (Must be based in Argentina, Brazil, Colombia, or Poland)

Company

hirify.global Inc. is an AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence.

What you will do

• Design and maintain secure, reliable, and scalable AWS cloud infrastructure and automated CI/CD pipelines.
• Implement Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, or Pulumi.
• Build and maintain containerized environments and orchestration capabilities using Docker and Kubernetes or ECS.
• Establish and improve monitoring, logging, tracing, and alerting using platforms like Datadog, Grafana, or Prometheus.
• Collaborate with engineering teams to establish SLIs/SLOs and ensure high application resiliency and disaster recovery.
• Utilize AI-assisted engineering tools to accelerate scripting, troubleshooting, and infrastructure analysis.

Requirements

• 5+ years of experience in DevOps, SRE, Cloud Engineering, or Platform Engineering.
• Strong experience operating production workloads in AWS.
• Proficiency with IaC tools (Terraform, CloudFormation, or Pulumi) and containerization (Docker, Kubernetes/ECS).
• Deep understanding of cloud networking, IAM, and secrets management.
• Strong Linux command-line skills and scripting experience with Python, Bash, or JavaScript.
• Must be based in Argentina, Brazil, Colombia, or Poland.

Nice to have

• Experience supporting multi-tenant SaaS platforms and serverless infrastructure.
• Experience with PostgreSQL and managed database services.
• Knowledge of CDNs, media delivery, and storage-intensive applications.
• Experience with security and compliance frameworks for enterprise SaaS.

Culture & Benefits

• Opportunity to shape real-world AI-driven projects for clients ranging from startups to enterprises.
• Collaborative global team environment across multiple continents and cultures.
• Inclusive workplace that prioritizes continuous learning, innovation, and ethical AI standards.