Senior Platform Architect

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

📋 Description

• Construct and manage scalable backend and AI infrastructure for both real-time and batch processing tasks.

• Create and uphold deployment workflows that include version control, staged rollouts, automated releases, monitoring, and safe rollback strategies.

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

• Create reusable services, APIs, automation, and data pipelines for AI-driven products and internal platform functionalities.

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

• Sustain GitOps deployment workflows using tools such as ArgoCD.

• Manage distributed workloads on Kubernetes (GKE), overseeing 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 enhancements for performance and infrastructure costs across cloud services, compute, APIs, and AI workloads.

• Utilize agentic coding and AI development tools to expedite engineering tasks, review code, debug, and automate repetitive workflows.

• Influence the evolution of the platform as scaling, architectural domains, and ML/AI requirements advance.

⛳️ Requirements

• Over 5 years of experience in platform engineering, SRE, or infrastructure, including managing production systems at scale.

• Solid foundation in SRE/DevOps; experience in owning reliability, defining and measuring SLOs, conducting post-mortems, and driving measurable enhancements.

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

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

• Comprehensive knowledge of Kubernetes and production cluster operations, including troubleshooting at the control-plane level.

• Strong background in cloud infrastructure across AWS, Azure, or GCP, including networking, compute, IAM, storage, and designs for multi-account or multi-project setups.

• Practical experience with CI/CD pipelines using GitHub Actions, Cloud Build, GitLab CI, or similar tools.

• Senior-level automation-first mindset.

• Frequent use of agentic coding tools.

• Excellent communication skills for articulating operational decisions, technical trade-offs, and incident summaries.

• Bachelor's Degree or equivalent experience as indicated in the application questions.

• Degree in IT, Computer Science, or equivalent experience as indicated in the application questions.

• Working hours aligned with the EST time zone.

• Nice-to-have: Experience with MLOps, GCP, BigQuery, Dataflow, Pub/Sub, Dataproc, GPU scheduling, LLM inference, ML orchestration, model registries, feature stores, drift monitoring, FinOps, data infrastructure, multi-tenant infrastructure, and scaling in startups.

🏝️ Benefits

• Compensation in USD.

• Remote work opportunities available in LATAM.

• Working hours aligned with the EST time zone.