Senior Platform Architect

Job not on LinkedIn

🔥 5 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 16%

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 safe 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 to accelerate engineering, review code, debug, and automate repetitive workflows • 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 reliability, defining and measuring SLOs, running post-mortems, and driving measurable improvements • Deep Terraform expertise, including 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 background across AWS, Azure, or GCP, including networking, compute, IAM, storage, and multi-account or multi-project design • Hands-on CI/CD pipeline experience with GitHub Actions, Cloud Build, GitLab CI, or equivalent • Senior-level automation-first approach • Active use of agentic coding tools • Strong communication skills for explaining operational decisions, technical trade-offs, and incident summaries • Bachelor's Degree or equivalent experience indicated in the application questions • Degree in IT or Computer Science or equivalent experience indicated in the application questions • Working hours aligned to EST time zone • Nice-to-have: 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 startup scaling experience

🏖️ Benefits

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