Senior Platform Architect
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Job Description
Platform Architect building Wizdaa’s scalable Kubernetes, Terraform, and AI infrastructure. Operating reliable cloud platforms, GitOps deployments, and production LLM systems across LATAM.
Responsibilities:
- 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
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