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# AI Systems Engineering Subject Matter Expert

- **Company:** Tripleten
- **Location:** Spain (Remote available)
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Systems Engineering, Cloud Computing, Continuous Integration, Data Architecture, Shard (Database Architecture), Distributed Systems, NoSQL, Redis, Software Tools, Zero Trust Network Access, Service-Oriented Architecture, SQL Databases, Systems Architecture, Large Language Models, Caching, Event Driven Architecture, Git Flow, Kubernetes, Slack, Apache Kafka, Figma, Graphql, Interactive Whiteboards, Terraform
- **Published:** August 11, 2026
- **Apply:** https://es.trabajo.org/oferta-4021-5d50d6513ff7ff9d45f0f43397d91af5

## About the Role

& Storage Patterns (SQL/NoSQL, sharding, replication, Redis caching) SME B - Cloud, Distributed Systems - Module 4 - Cloud Infrastructure & Platform Engineering (Kubernetes, Terraform, GitOps, CI/CD, FinOps) - Module 5 - Distributed Systems & Event-Driven Architecture (CAP theorem, event-driven, Kafka, alert routing) SME C - Security, AI Systems & Architecture Leadership - Module 6 - Security & Compliance Architecture (Zero-trust, threat modeling, compliance, secure CI/CD) - Module 7 - AI Systems Design & Integration (LLM integration, RAG, ML reliability, AI governance) - Module 8 - Architecture Documentation & Leadership (ADRs, C4 diagrams, technical communication) Please indicate in your application which area fits you best. If you have overlapping skills, don't hesitate to apply and indicate it in your application. Submit all resumes or CV's in English. - Review and shape the existing syllabus draft - validate topic
sequencing, flag gaps or unrealistic scope, and make sure the content reflects how these systems are actually built in production. - Define clear learning objectives per topic: what should a student be able to do after this lesson, not just know. - Produce lessons using AI-gen tools following our content guidelines - then review, fact-check, and fine-tune the output until it's technically sound. - Design hands-on projects and exercises that are realistic for a working engineer studying 20 hrs/week. - Write supporting content: project instructions, rubrics, and reviewer guides. - Respond to LX designer feedback and iterate on content - this is a back-and-forth process, not a one-time handoff. - 5+ years of real-world experience as a Senior Systems Engineer - Has designed and shipped systems at scale in a real company - not just coursework or side projects - Can explain why a decision was made, not just how it was implemented - Strong
technical communication skills - ability to explain complex topics clearly to learners - Comfortable using AI tools for content drafting and iteration - Strong English C1+ - content will be in English for a US-based audience - Attention to detail, proactivity and ability to meet deadlines independently - Milestone-based payments tied to deliverables - Fully remote work with flexible hours - A digital office - we use modern tools (Notion, Miro, Slack, Figma) to keep collaboration smooth - Professional trust and autonomy - no micromanaging - The chance to see real impact: our metric is graduates landing jobs in tech - Join a diverse, international, and close-knit team excited to work with you

## Description

accurate and teachable. An LX designer will review your content and send comments back; you'll iterate from there. The best candidates are people who are opinionated about what good systems engineering looks like and what engineers need to learn, can spot when something is oversimplified or wrong, and are comfortable working in a structured production process and keeping up with deadlines. Your audience: experienced engineers looking to level up to system architecture roles. They will spot shallow content instantly. Format: async-first, project-based, estimated 4-6 months. We expect you to be ready to around 15-20 hrs/week. Areas of expertise We will bring on three SMEs, each focused on one of the following areas. SME A - System Foundations, API & Data - Module 1 - Foundations of System Engineering (Architecture principles, OpenTelemetry, distributed systems) - Module 2 - API & Service Architecture (REST, GraphQL, gRPC, service boundaries, DDD) - Module 3 - Data Architecture


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