Senior Platform Architect

Job not on LinkedIn

🕒 September 10

🌐 Brazil, Argentina, +3 more countries – Remote

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

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 45%

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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PrideLogic

WebsiteLinkedInAll Job Openings

11 - 50 employees

PrideLogic is a company that does not currently have detailed information available as their website is under construction. More details may be provided in the future once updates are made available on their site.

📋 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 while managing rate limits, reliability, guardrails, and graceful degradation • 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 as scale, architectural domains, and ML/AI requirements grow

🎯 Requirements

• 5+ years in platform engineering, SRE, or infrastructure, including operating production systems at scale • Strong SRE/DevOps foundation; experience owning production reliability, defining and measuring SLOs, running post-mortems, and driving measurable improvements • Deep Terraform expertise, including complex Terraform 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 cluster operations, failure modes, and control-plane-level understanding • 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 • 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 • GPU/accelerator scheduling and node lifecycle management experience is nice to have • Experience operating LLM inference at scale is nice to have • ML pipeline and orchestration tooling experience is nice to have • Model registries, feature stores, and experiment tracking experience is nice to have • Model and data drift monitoring familiarity is nice to have • FinOps background is nice to have • Data infrastructure familiarity is nice to have • Multi-tenant infrastructure experience is nice to have • Startup-to-enterprise platform or ML infrastructure scaling experience is nice to have

🏖️ Benefits

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