LatAm Full Stack Software Engineer – AI Platform & Applied AI Systems
Location
United States
Posted
2 days ago
Salary
0
Seniority
Mid Level
Job Description
LatAm Full Stack Software Engineer – AI Platform & Applied AI Systems
Chiri
Role Description 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. Qualifications - 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. Requirements - 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. Benefits - 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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