Senior Platform Architect

This is a fully remote position, open to applicants in Brazil, +4 more countries.

📋 Description

• Develop and manage scalable backend and AI infrastructure for both real-time and batch processing workloads.

• Create and sustain deployment workflows that incorporate versioning, staged rollouts, automated releases, monitoring, and rollback strategies.

• Construct and maintain production-level LLM and agentic systems, integrating model providers, APIs, gateways, tools, and external services.

• Design reusable services, APIs, automation, and data pipelines to support AI-powered products and internal platform functionalities.

• Enhance infrastructure-as-code by utilizing Terraform and reusable provisioning patterns.

• Oversee GitOps deployment workflows with tools such as ArgoCD.

• Execute distributed workloads on Kubernetes (GKE), managing scaling, workload placement, tenant isolation, service reliability, and infrastructure capacity.

• Enhance observability and reliability through metrics, logging, tracing, SLOs, alerting, incident response, and operational tools.

• Identify opportunities for performance and infrastructure cost optimization across cloud services, compute, APIs, and AI workloads.

• Employ agentic coding and AI development tools for scaffolding, code generation and review, debugging, and workflow automation.

• Influence the platform's evolution to support increased scale, new architectural domains, and an expanding ML/AI presence.

⛳️ Requirements

• A minimum of 5 years in platform engineering, SRE, or infrastructure, including significant experience with operating production systems at scale.

• Robust foundation in SRE/DevOps, including ownership of production reliability, SLOs, post-mortems, and quantifiable improvements.

• Extensive expertise in Terraform, including complex state management, reusable modules, multi-project configurations, and CI-driven plan/apply workflows.

• Strong background in GitOps with experience using ArgoCD or Flux in a production environment.

• In-depth knowledge of Kubernetes, including production clusters, failure modes, and control-plane-level troubleshooting.

• Comprehensive experience with cloud infrastructure across AWS, Azure, or GCP, covering networking, compute, IAM, storage, and multi-account or multi-project design.

• Practical experience in building and managing CI/CD pipelines using GitHub Actions, Cloud Build, GitLab CI, or similar tools.

• An automation-first approach at a senior level.

• Active engagement with agentic coding tools.

• Excellent written and verbal communication abilities.

• Bachelor's Degree or equivalent experience (application question).

• Degree in IT, Computer Science, or equivalent experience (application question).

• Availability to work within the EST time zone.

• Preferred: Experience with 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.

🏝️ Benefits

• Compensation in USD.

• Opportunity for remote work within LATAM.

• Flexible location options throughout Argentina, Brazil, Colombia, Mexico, and Peru.