TripleTen is an award-winning online school among technology bootcamps. Our mission is to help people change their lives and succeed in technology. We offer flexibility in studies, career mentoring, resume and portfolio preparation, and we guarantee employment after the course. Our employability rate among graduates is 87% across our Web Development, Quality Assurance (QA), Data Analytics, and Data Science programs. TripleTen LATAM is among the Top 3 EdTech companies in LATAM and are on track to become the regional leader. We’re recognized as absolute leaders in paid advertising performance within the EdTech space in LATAM.
AI Systems Engineering Instructor
Location
USA Timezones
Posted
3 days ago
Salary
0
Seniority
Mid Level
No structured requirement data.
Job Description
AI Systems Engineering Instructor
TripleTen
Role Description 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: - Host the live sessions - Review the work - Run the architecture review boards - Set 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 - Act as the escalation point for a team of supporting instructors 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. Please submit all resumes or CV's in English. Qualifications - 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 Requirements - 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 Benefits - 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
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