Senior Platform Architect

🕒 September 10

🌐 Brazil, Argentina, +3 more countries – Remote

infoinfo

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

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Logo of Wizdaa

Wizdaa

11 - 50 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Wizdaa is a company that provides access to top-tier remote developers, specializing in helping startups build their dream development teams in the U. S. time zone. They offer a meticulous six-stage human and AI screening process to ensure access to the top 1% of engineering talent. Wizdaa's services include managing hiring processes, onboarding, payroll, benefits, and taxes, allowing startups to focus on core business matters. Known for competitive rates averaging $30/hour, Wizdaa emphasizes cultural fit, technical excellence, and English fluency among their developers. The company prides itself on delivering tailored, cost-effective solutions that maximize startups' runway and success. They also offer insights into leveraging AI tools and aligning remote teams with U. S. time zones to boost productivity.

📋 Description

• 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 LLM and agentic systems in production • Integrate model providers, APIs, gateways, tools, and external services • Develop reusable services, APIs, automation, and data pipelines • Extend Terraform infrastructure-as-code across projects and environments • Maintain GitOps deployment workflows using tools such as ArgoCD • Run distributed workloads on Kubernetes/GKE, managing scaling, workload placement, tenant isolation, reliability, and capacity • Improve observability and reliability through metrics, logging, tracing, SLOs, alerting, incident response, and operational tooling • Identify performance and infrastructure cost improvements • Use agentic coding and AI development tools to accelerate engineering work

🎯 Requirements

• 5+ years in platform engineering, SRE, or infrastructure, including 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 and production cluster operations, including control-plane-level troubleshooting • Strong cloud infrastructure experience with 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 • Senior-level automation-first approach • Active use of agentic coding tools • Strong communication skills for operational decisions, technical trade-offs, and incident summaries • MLOps experience is nice to have • Strong GCP experience is nice to have • Production BigQuery experience is nice to have • Experience with GPU/accelerator scheduling and node lifecycle management is nice to have • Experience operating LLM inference at scale is nice to have • Experience with ML pipeline and orchestration tooling is nice to have • Experience with model registries, feature stores, and experiment tracking is nice to have • Familiarity with model and data drift monitoring and ML-specific observability is nice to have • FinOps background is nice to have • Familiarity with data infrastructure is nice to have • Experience with multi-tenant infrastructure is nice to have • Prior experience scaling ML or platform infrastructure at a startup is nice to have

🏖️ Benefits

• Payment in USD • Remote work in LATAM • EST time-zone working hours

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