Infrastructure Engineer

Airtm

LATAMPosted 28 days agoDiscoveredMatch locked

RemoteFull-Time4+ years expDevOps & Infrastructure

About us

Airtm is a financial-infrastructure company building the future of the online-work economy. We are on a mission to empower the world's growing number of Digital Entrepreneurs in the Global South, giving them the financial freedom to thrive. The problem is clear: in emerging markets, accessing the dollar economy is difficult. Cross-border payments are slow, expensive, and often lose value to inflation. This limits the potential of millions of talented individuals. Airtm's solution is a swift and comprehensive financial platform that facilitates low-value cross-border payments and local cash-outs. As pioneers in stablecoin-payment infrastructure, Airtm has built the most advanced cross-border payment system available on the market. As a company married to the world of online work, Airtm will go beyond payments to build the necessary infrastructure the online-work economy needs to thrive. We are fostering an entirely new economy, giving individuals, communities, and countries the tools to take control of their financial destinies.

About the Role

We're looking for an Infrastructure Engineer to design, build, and maintain our cloud infrastructure and platform systems. You'll work closely with development teams to create scalable, reliable, and secure infrastructure that powers our products.

Essential Duties and Responsibilities

•

Designs, implements, and manages

AWS cloud infrastructure, including VPCs, EC2, RDS, S3, IAM, Lambda, and other foundational services. •

Develops and maintains

Terraform modules to provision and manage infrastructure in a repeatable, version-controlled manner. •

Deploys, manages, and optimizes

Kubernetes clusters (EKS), handling workload orchestration, autoscaling, and resource management. •

Builds and improves

continuous integration and deployment (CI/CD) pipelines to enable fast, safe, and automated releases. •

Implements

logging, monitoring, and alerting solutions to ensure system health and enable rapid incident response. •

Applies

strict infrastructure security best practices, manages secrets, and ensures compliance with internal security policies. •

Writes

scripts and tools to automate operational tasks, reducing manual toil and improving the overall developer experience. •

Creates and maintains

runbooks, architecture diagrams, and technical documentation. •

Partners

with development teams to improve platform reliability and streamline application deployments. •

Participates

in an on-call rotation schedule to respond to production incidents and ensure continuous system reliability. •

Designs and provisions

cloud infrastructure specifically tailored to support scalable AI/LLM workloads and agentic systems, ensuring optimized compute resource allocation and high availability. •

Evaluates and integrates

AI-driven DevOps tools and LLM-assisted automations into the platform workflow to accelerate incident response, infrastructure provisioning, and operational troubleshooting.

Qualifications

•

Location

This role is fully remote and open exclusively to candidates based in LATAM. •

Experience

•

4+ years

of proven experience in infrastructure, DevOps, or platform engineering.

• Strong proficiency with

AWS services

and modern cloud architecture patterns.

• Hands-on experience utilizing

Terraform

for Infrastructure as Code (IaC).

• Solid understanding of

Kubernetes

concepts (deployments, services, ingress, RBAC, Helm charts) and containerization utilizing Docker.

• Proficiency in

TypeScript

and

Bash

scripting.

• Familiarity with standard CI/CD tools (e.g., GitHub Actions, GitLab CI, ArgoCD).

• Strong understanding of networking fundamentals (DNS, load balancing, firewalls, VPNs).

• Hands-on experience provisioning infrastructure for AI agent frameworks (e.g., LangChain, LlamaIndex, CrewAI) or deploying LLMs in a production or near-production context.

• Strong troubleshooting, problem-solving, and cross-functional communication skills.

•

Nice to Have

• Experience coding in Golang.

• Knowledge of GitOps practices and tools (ArgoCD, Flux).

• Familiarity with modern observability stacks (Prometheus, Grafana, Datadog, ELK).

• AWS certifications (Solutions Architect, DevOps Engineer) or Kubernetes certifications (CKA/CKAD).

• Experience with service mesh implementations (Istio, Linkerd) and FinOps practices for cost optimization.

Not included in the source posting: benefits.

Skills

devopsawskubernetesartificial-intelligencellmci-cdgoterraformbashdockergithub-actionsgrafana

Who can apply

The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.

Read automatically from the employer's posting text. Always confirm with the employer — requirements can change after a job is published.