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Chiri

LatAm Full Stack Software Engineer – AI Platform & Applied AI Systems (Copy) (Copy)

Posted Yesterday
In-Office or Remote
Hiring Remotely in USA
Senior level
In-Office or Remote
Hiring Remotely in USA
Senior level
Build, scale, and support AWS-based infrastructure and platform deployments. Implement IaC (Terraform), manage multi-environment and tenant-isolated deployments, improve monitoring/observability, support reliability/disaster recovery, optimize cloud costs, and collaborate with engineering and clients to ensure secure, performant, enterprise-ready AI platform operations.
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Role Overview

We're looking for an Infrastructure & Platform Engineer to help build, scale, and support the infrastructure that powers Chiri's platform and client deployments.
In this role, you'll contribute to the reliability, scalability, and performance of our AWS-based platform while working alongside experienced engineers to support infrastructure initiatives, automation efforts, and operational excellence. As Chiri continues to grow, you'll help manage multiple environments, improve monitoring and observability capabilities, support reliability initiatives, and contribute to the evolution of our infrastructure practices.
This is an excellent opportunity for an engineer who enjoys cloud infrastructure, has strong communication skills, and wants to grow alongside a rapidly evolving AI startup. We value strong fundamentals, ownership, curiosity, and a willingness to learn while providing opportunities to take on increasingly complex infrastructure challenges as the company scales.


Key Responsibilities

  • Design, implement, and maintain cloud infrastructure primarily within AWS.
  • Build and manage infrastructure using Infrastructure as Code (Terraform).
  • Design and support infrastructure across multiple customer environments as Chiri scales.
  • Contribute to tenant isolation and multi-environment management strategies.
  • Build and improve monitoring, logging, and observability systems.
  • Support reliability, disaster recovery, and failover initiatives.
  • Identify opportunities for cloud cost optimization and operational efficiency.
  • Collaborate with engineering teams to improve reliability, scalability, and operational efficiency.
  • Assist with customer integrations and secure connectivity between client systems and the Chiri platform.
  • Support deployment automation and infrastructure operations.
  • Monitor platform performance and troubleshoot infrastructure-related issues.
  • Contribute to infrastructure documentation, standards, and best practices.
  • Participate in architecture discussions and continuous improvement initiatives.
  • Help ensure our platform remains stable, secure, and ready to support enterprise customers.


Required Skills and Experience

  • 5+ years of experience in Infrastructure Engineering, Platform Engineering, DevOps, Cloud Engineering, or similar technical roles.
  • Fluency in at least one scripting language (Python, Bash, PowerShell, etc.)
  • Strong experience working with AWS cloud services and infrastructure.
  • Experience with AWS services such as ECS Fargate, Lambda, RDS, S3, IAM, or similar cloud-native technologies.
  • Experience managing infrastructure through Infrastructure as Code, experience using Terraform is required.
  • Experience supporting production cloud environments and troubleshooting reliability, performance, and operational issues.
  • Experience managing or supporting multiple environments (development, staging, production, customer-specific environments, etc.).
  • Familiarity with Docker and containerized application development.
  • Understanding of networking, cloud infrastructure, system administration, and security fundamentals.
  • Strong troubleshooting, analytical, and problem-solving skills.
  • Excellent written and verbal communication skills in English.
  • Ability to work independently and collaborate effectively in a remote environment.
  • A proactive mindset, strong sense of ownership, and eagerness to learn.


Preferred Qualifications

  • Experience supporting SaaS products or cloud-based platforms.
  • Experience implementing monitoring, logging, and observability solutions.
  • Experience supporting high-availability, disaster recovery, or failover architectures.
  • Experience optimizing cloud infrastructure for performance and cost efficiency.
  • Experience working in regulated or compliance-focused environments (SOC 2, HIPAA, or similar).
  • Exposure to CI/CD pipelines and deployment automation.
  • Experience working in startup or high-growth environments.
  • Interest in AI, automation, and emerging technologies.


What We Offer

  • A fast-paced, fully remote environment with meaningful ownership.
  • The opportunity to help define what “enterprise-ready AI” actually means.
  • Access to cutting-edge AI tools, models, and internal playbooks.
  • The chance to help clients achieve tangible outcomes - like 50% faster workflows - without compromising governance or trust.
  • Direct collaboration with company leadership and experienced engineers.
  • The opportunity to grow your impact and responsibilities as the company scales.





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