About this role.
Airtm is seeking an Infrastructure Engineer to build and operate secure, scalable cloud-platform systems for its cross-border payments products. The role centers on AWS, Terraform, Kubernetes/EKS, CI/CD, observability, security, and production incident response. The engineer will partner with development teams, automate operational work, maintain technical documentation, and participate in an on-call rotation. A notable specialization is provisioning infrastructure for AI/LLM and agentic-system workloads while integrating AI-assisted DevOps automation. This is a fully remote position restricted to candidates based in LATAM.
Role DNA
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Core skills
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Sample interview questions
I would create reusable, versioned modules for shared components such as networking, IAM, EKS, RDS, and observability, then compose them through environment-specific root configurations. I would use remote state with locking, controlled provider and module versions, clear input/output contracts, and a pull-request plan-and-review workflow to reduce drift and improve change safety.
I would first assess customer impact and stabilize the service through rollback, scaling, or traffic controls where appropriate. Then I would correlate Kubernetes events, pod status, application logs, metrics, traces, ingress behavior, and recent deployment or infrastructure changes. After restoration, I would document root cause, corrective actions, and preventive monitoring or runbook updates.
I apply least-privilege IAM, segmented networking, encryption in transit and at rest, audit logging, and regular access reviews. For Kubernetes, I use RBAC, namespace and network policies, controlled image provenance, workload identity, and a dedicated secrets-management solution rather than storing plaintext secrets in repositories or manifests.
I would separate stateless API and orchestration services from stateful dependencies, use autoscaling based on meaningful workload signals, and select compute profiles according to model-serving needs. I would also design for queueing, rate limiting, observability of latency and token or compute consumption, secure model and data access, and high availability for critical workflow components.
I would identify bottlenecks using pipeline timing and failure data, then add dependency caching, parallelize independent tests, and build immutable artifacts once for promotion across environments. To lower deployment risk, I would implement automated quality and security checks, infrastructure plan review, progressive delivery or canary releases where appropriate, health-based rollback, and clear deployment runbooks.
This role is open for LATAM based candidates
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.
Compensation
Additional Information
Annual salary information is not provided for this position. Explore salary ranges for similar roles in our Salary Directory ›
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