Senior Platform Architect

🔥 15 minutes ago

🌐 Brazil, Argentina, +3 more countries – Remote

🇧🇷 Brazil – Remote 🇦🇷 Argentina – Remote 🇨🇴 Colombia – Remote 🇲🇽 Mexico – Remote 🇵🇪 Peru – Remote

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Wizdaa

WebsiteLinkedInAll Job Openings

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 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

🎯 Requirements

• 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

🏖️ Benefits

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