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AI Systems Engineering Expert
TripleTen —Remote
- Part-time
- Remote
- System design
- English
- Master's degree
Quick apply
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AI Systems Engineering Expert

TripleTen -
Remote

Quick apply

Job details

Part-time

Qualifications

CI/CD
Law
Kubernetes
Slack
System design
NoSQL
English
Master's degree
SQL
AWS
Distributed systems
Terraform
Redis
REST
Kafka
GraphQL
AI
gRPC
Figma
Communication skills
Teaching

Full job description

TripleTen is an EdTech company that designs and runs tech career learning programs for the US and Latin American markets. We've been doing it for over five years, teaching complete beginners — people with no prior tech background — through cohort-based programs built on our own platform and curriculum, developed in partnership with Nebius AI. Our team is fully remote and globally distributed, and we serve a large, active student base across both regions.

We're launching a program for experienced engineers transitioning into system architecture roles. The curriculum is being built by a team of senior authors. What we need now is the person who brings it to life for students: hosts the live sessions, reviews the work, runs the architecture review boards, and sets the technical bar for the people supporting alongside you.

This is a teaching and review role. You'll be the senior technical presence the cohort learns from week to week. You'll run live sessions and office hours, give real architectural feedback on student deliverables, and act as the escalation point for a team of supporting instructors who handle first-line questions. The best person for this is someone who has actually designed and shipped systems at scale, has opinions about what good architecture looks like, and can tell an experienced engineer why their design is wrong, not just whether it runs.

Your audience: experienced engineers leveling up to system architecture roles. Many already write production code daily. They will spot shallow feedback instantly, so the bar here is real seniority, not familiarity.

Format: Async-first with scheduled live sessions. Live sessions and office hours are timed around a US-based cohort. Estimated 15 to 25 hrs/week.

Areas of expertise

We will bring on three Experts, each focused on one of the following areas.

Expert 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 & Storage Patterns (SQL/NoSQL, sharding, replication, Redis caching)

Expert 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)

Expert 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.

Requirements:

5+ years as a senior software/systems architect, platform engineer, or senior backend/infrastructure engineer
Has designed and shipped systems at scale in a real company, not just coursework or side projects
Depth across the architectural spine: system design, API and service architecture, cloud and infrastructure (AWS, Kubernetes, Terraform, CI/CD), and distributed systems
Can explain why a decision was made, not just how it was implemented, and can diagnose and critique someone else's architecture live
Strong technical communication: comfortable leading a live session and writing clear, specific review feedback
Strong English C1+ — instruction and review are in English for a US-based audience
Comfortable using AI tools in day-to-day technical work

Brand:
TripleTen

What you will do:

Host weekly live sessions across the program, focused on the design and decision layer: where to split services, how systems scale and fail, which tradeoff to make and why
Run group office hours and 1:1 sessions for students working through projects and the capstone
Review student projects against rubrics: the architecture dossiers, deployed backends, cloud infrastructure, performance reports, security reviews, and the final distributed-system capstone
Give architectural feedback, not just pass/fail checks. Catch when a design decision is unsound, an interface is wrong, or a scope is unrealistic, and explain the better path
Run the mock architecture review boards and the simulated executive-panel presentations, and give structured, senior-level critique
Set the technical standard for a team of supporting instructors who cover questions and first-line review, and act as their escalation point on design and architecture calls

What we can offer you:

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

Quick apply

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reliability engineer foundation jobs

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