Platform Architect (Ai/Ml Infrastructure, Gcp-Focused) (Santa Fe)

Platform Architect (Ai/Ml Infrastructure, Gcp-Focused) (Santa Fe)

28 oct
|
Wizdaa
|
Santa Fe

28 oct

Wizdaa

Santa Fe

we're looking for a Platform Architect who can set the standard for how we build, ship, and operate ML and AI systems at scale.
You sit at the intersection of ML infrastructure and SRE.
You'll own the path from model and pipeline to reliable production service, and you'll bring DevOps rigor to systems that are historically under-engineered.
The immediate focus is AI/ML infrastructure on Google Cloud.
This is not a ticket-processing role, and it's not a research role.
You'll tackle hard problems: model serving reliability, inference cost and latency, reproducible pipelines, and agentic workload operations.
You'll have the scope to solve them properly.
Senior professionals here identify problems before they're asked and raise the ceiling on what the platform can do.WHAT YOU'LL WORK ONBuild and operate model and inference serving infrastructure, managing latency, throughput, autoscaling, and reliability for real-time and batch inference across multiple tenants.Own the ML deployment lifecycle: model registry, versioning, promotion workflows, rollout strategies (canary, shadow, A/B), and safe rollback.Operate agentic and LLM workloads in production, managing inference providers and gateways, quota and throttling behavior (TPS/TUPS limits), guardrails, prompt/version management, and graceful degradation under load.Build reproducible, automated ML pipelines: training, evaluation, and deployment pipelines as code, with lineage and reproducibility built in.Extend infrastructure-as-code to ML systems, using Terraform patterns and multi-project design that bring ML infrastructure under the same standards as the rest of the platform.Operate rsements, or GRC—to build, optimize, and scale the backend microservices that drive our financial operations.
This is a unique opportunity for a talented engineer who is passionate about secure, high-performance financial systems and has experience in building solutions that handle complex payment, compliance, and disbursement workflows.
Technology Stack
We are technology agnostic and value candidates with diverse backgrounds.
While familiarity with the following is helpful, your willingness to learn and adapt is paramount:
Front-end: React, HTTP, HTML/DOM,



JavaScript, CSS, AJAX
Back-end: Python, Flask/FastAPI, REST APIs, Redis, SQL, gRPC
Cloud: Google Cloud services (Firestore, Cloud Storage, Pub/Sub, Google Artifact Registry, Cloud Run, BigQuery, Cloud Composer, etc.)
Infrastructure: Kubernetes, Terraform, NewRelic, PagerDuty
Responsibilities
Platform Architecture & Development: Architect and implement scalable backend microservices inside the Payments, Disbursements, or GRC squad.
Payments Squad: Develop and optimize systems for securely collecting funds from users, ensuring efficient transaction processing.
Disbursements Squad: Design and implement robust services that handle the secure and timely disbursement of funds to beneficiaries.
GRC Squad: Build and enhance systems for user onboarding, KYC, and compliance, ensuring adherence to regulatory standards.
Infrastructure & Scalability: Design and manage infrastructure capable of handling millions of daily requests while maintaining the highest standards of security and performance.
Cloud Integration: Utilize Google Cloud services and industry-standard tools to build and maintain distributed systems.
Cross-functional Collaboration: Work closely with product, operations, compliance, and other business units to deliver holistic financial solutions.
Mentorship & Growth: Mentor junior developers and promote best practices across the engineering team.
Continuous Improvement: Leverage user feedback and system analytics to refine and iterate on platform capabilities.
Requirements
5+ years of experience as a Software Engineer in a fast-paced, dynamic environment.
Fluent or advanced English.
Proven track record of building, shipping, and iterating on software applications, particularly in the Fintech domain.
Solid foundation in algorithms and data structures.




Experience designing and implementing web services, including REST APIs.
Familiarity with architectural patterns such as Hexagonal Architecture, Event-Driven Architecture, and practices like A/B Testing, Feature Flags, and Gradual Rollouts.
Domain Expertise: Experience in building and maintaining payment systems, financial disbursement solutions, or compliance-driven platforms is highly desirable.
Knowledge of security protocols, compliance standards, and KYC/AML processes.
A passion for developing products that make a real impact on millions.
Commitment to continuous learning and staying abreast of emerging technologies.
Excellent collaboration and prioritization skills in a team-oriented environment.
Curiosity and/or experience in Fintech is a plus (equivalent competencies will also be considered).
These are the applicable requisites, although equivalent competencies in any of the above will also be considered.
What We Offer
Competitive salary
Initial stock options grant
Annual performance bonus
Health, dental, and vision plans
Work model: currently fully remote, with a future transition to a hybrid setup.
Continuous learning opportunities
Unlimited PTO
Paid parental leave
Empowering opportunities for growth in a dynamic entrepreneurial environment
Equal Opportunity Employer
At Félix, we are committed to providing equal employment opportunities to all qualified employees and applicants without regard to race, religion, nationality, sex, sexual orientation, gender identity, age, or disability.
This policy applies to all terms and conditions of employment, including recruitment, hiring, placement, promotion, training, compensation, benefits, and termination.
Want to learn more about our privacy practices?
Chectigation, and tenant lifecycle management.Prior experience scaling ML or platform infrastructure at a startup moving toward enterprise‐grade requirements.Location: Remote in LATAM Payment in USD Working hours: EST time zone Highlights Own GCP AI/ML infrastructure from model pipeline to reliable production service at scale.
Originally posted on Himalayas
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📌 Platform Architect (Ai/Ml Infrastructure, Gcp-Focused) (Santa Fe)
🏢 Wizdaa
📍 Santa Fe

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