Senior Platform Architect

• Build and operate scalable backend and AI infrastructure for real-time and batch workloads
• Design and maintain deployment workflows with versioning, staged rollouts, automated releases, monitoring, and rollback strategies
• Build and operate production LLM and agentic systems, integrating model providers, APIs, gateways, tools, and external services
• Develop reusable services, APIs, automation, and data pipelines for AI-powered products and internal platform capabilities
• Extend infrastructure-as-code using Terraform and reusable provisioning patterns
• Maintain GitOps deployment workflows using tools such as ArgoCD
• Run distributed workloads on Kubernetes (GKE), managing scaling, workload placement, tenant isolation, service reliability, and infrastructure capacity
• Improve observability and reliability through metrics, logging, tracing, SLOs, alerting, incident response, and operational tooling
• Identify performance and infrastructure cost improvements across cloud services, compute, APIs, and AI workloads
• Use agentic coding and AI development tools for scaffolding, code generation and review, debugging, and workflow automation
• Shape the evolution of the platform for increasing scale, new architectural domains, and a growing ML/AI footprint

• 5+ years in platform engineering, SRE, or infrastructure, including meaningful time operating production systems at scale
• Strong SRE/DevOps foundation, including ownership of production reliability, SLOs, post-mortems, and measurable improvements
• Deep Terraform expertise with complex state, reusable modules, multi-project configurations, and CI-driven plan/apply workflows
• Strong GitOps background with ArgoCD or Flux in production
• Deep Kubernetes knowledge, including production clusters, failure modes, and control-plane-level troubleshooting
• Strong cloud infrastructure background across AWS, Azure, or GCP, including networking, compute, IAM, storage, and multi-account or multi-project design
• Hands-on experience building and operating CI/CD pipelines using GitHub Actions, Cloud Build, GitLab CI, or equivalent
• Senior-level automation-first approach
• Active use of agentic coding tools
• Strong written and verbal communication skills
• Bachelor's Degree or equivalent experience (application question)
• Degree in IT or Computer Science or equivalent experience (application question)
• Availability to work EST time zone
• Nice to have: MLOps, GCP, BigQuery, Dataflow, Pub/Sub, Dataproc, GPU scheduling, LLM inference, ML pipelines, model registries, drift monitoring, FinOps, data infrastructure, multi-tenant infrastructure, and startup scaling experience

• Payment in USD
• Remote work in LATAM
• Flexible location options across Argentina, Brazil, Colombia, Mexico, and Peru