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Aws Tutor Jobs (NOW HIRING)

Staff Software Engineer

San Francisco, CA · On-site

$200K - $230K/yr

Think of us as the Airbnb that matches English students with English tutors. Come help us build the ... Our backend is built with Python (Flask and FastAPI) on AWS with MongoDB. You will * Own the ...

Think of us as the Airbnb that matches English students with English tutors. Come help us build the ... Our backend is built with Python (Flask and FastAPI) on AWS with MongoDB. You will * Own the ...

Knowledge of AWS, MySQL, MongoDB, GraphQL/Node, React is a plus* Passion for improving language ... community of tutors, covering 300+ subjects* is a comprehensive marketplace for millions of ...

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Knowledge of AWS, MySQL, MongoDB, GraphQL/Node, React is a plus * Passion for improving language ... Wyzant is the nation's largest community of tutors, covering 300+ subjects * Teachers Pay Teachers ...

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Aws Tutor information

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$8

$20

$32

How much do aws tutor jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for aws tutor in the United States is $20.22, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $24.04 per hour, depending on experience, location, and employer.

Are AWS Tutor jobs still in demand?

AWS Tutor jobs remain in demand as cloud computing skills are increasingly essential across industries. Tutors with certifications like AWS Certified Solutions Architect and strong teaching skills are sought after to help learners and professionals develop cloud expertise.

How to become an AWS authorized instructor?

To become an AWS authorized instructor, you must hold an active AWS Certification, typically at the associate or professional level, and have relevant teaching experience. You also need to apply through the AWS Training Partner program, meet their requirements, and complete their instructor readiness review process, which includes training delivery and assessment. Once approved, you can deliver official AWS training courses and earn instructor credentials.

What is the difference between Aws Tutor vs Cloud Support Associate?

AspectAws TutorCloud Support Associate
CertificationsAWS Certified Solutions Architect, AWS Certified Cloud PractitionerAWS Certified Solutions Architect, AWS Certified Cloud Practitioner
Work EnvironmentOnline tutoring, training sessions, educational platformsCustomer support, technical troubleshooting, cloud service assistance
Employer & Industry UsageEducational institutions, training companies, freelance platformsCloud service providers, tech companies, AWS support teams

While both roles require AWS certifications and involve cloud technology, an Aws Tutor primarily focuses on educating and training individuals on AWS concepts, whereas a Cloud Support Associate provides technical support and troubleshooting for AWS customers. The roles differ mainly in their work environment and daily responsibilities, with tutors emphasizing education and support roles focusing on customer service and technical problem-solving.

More about Aws Tutor jobs
What cities are hiring for Aws Tutor jobs? Cities with the most Aws Tutor job openings:
What states have the most Aws Tutor jobs? States with the most job openings for Aws Tutor jobs include:
Infographic showing various Aws Tutor job openings in the United States as of August 2026, with employment types broken down into 21% Full Time, 78% Part Time, and 1% Contract. Highlights an 31% Physical, and 69% Remote job distribution, with an average salary of $42,053 per year, or $20.2 per hour.

Junior Software Engineer (AI-Forward)

Texas Sports Academy Main

Austin, TX • On-site

Full-time

Re-posted 14 hours ago


Job description

As a Junior Software Engineer with Texas Sports Academy, you'll help build the software that runs our school, student records, academic mastery tracking, training data, parent portals, admissions, and the AI-powered tools our guides and coaches use every day. This is an early-career, AI-forward seat. You'll work directly with the founders and senior engineers, ship code every week with AI in your loop, and grow into the LLM-powered features that make our school feel nothing like a traditional school.

What You Will Be Doing
  • Building and shipping product features across the full stack every week, with AI coding tools running alongside you.
  • Contributing to real LLM-powered product features: tutoring agents, parent-facing copilots, coach-facing dashboards, retrieval over student data, and the evals behind them.
  • Working directly with the founders and senior engineers on scope and trade-offs, no PM layer in between.
  • Picking up ownership of smaller systems end-to-end and growing into bigger ones.
  • Running your own AI coding workflow, prompts, subagents, custom tools, MCP servers, and getting sharper at it every week.
  • Writing evals and regression tests for AI features the same way you'd write unit tests for classical code.
What You Will NOT Be Doing
  • Pretending AI is optional. If you're not already coding with Claude Code, Cursor, Codex, or an equivalent agent loop, this role is not for you.
  • Sitting in status meetings all day. Few meetings, more shipping.
  • Working on a narrow slice of a giant codebase.
  • Waiting around for tickets. You'll be in the room when we decide what to build.
Key Responsibilities
  • Ship production code and AI features that real students, parents, and staff rely on every day.
  • Own smaller systems and features end-to-end as you ramp up.
  • Move fast. Features go from idea to production in days, not quarters, without breaking things.
  • Level up your AI-engineering chops alongside a senior team.

Requirements

  • Bachelor's or master's degree in Computer Science, Engineering, Math, or Physics.
  • 0 to 2 years of full-time engineering experience. Strong internships, side projects, and shipped personal work count.
  • Daily, fluent use of AI coding tools (Claude Code, Cursor, Codex, Windsurf, Aider, or equivalent) as your default way of writing software.
  • Comfortable in a modern web stack (TypeScript / React / Node or Python / Postgres / AWS or GCP).
  • Excellent written English.
  • Based in Austin, TX.
Nice to Have
  • At least one shipped LLM-powered project, school project, hackathon, or side project, with some kind of eval story.
  • Agent frameworks (LangGraph, CrewAI, Mastra, custom), vector search / RAG, evals (Braintrust, LangSmith, custom), prompt caching, MCP servers, structured output / tool-use, or voice agents.
  • Public GitHub or a personal AI project we can actually try.
  • A personal project you built because you wanted to.
  • Background in education, edtech, or sports.