Trainer

Uptime Crew; United States; Remote; USD 55,000 - 96,000; Part time

Job summary

Uptime Crew is expanding its online training network and seeking experienced Technical Trainers across Java, Python, databases, Spring, Node.js, Docker, Kubernetes, and cloud platforms.

You will mentor learners through hands-on guidance, review projects, and provide feedback. This part-time role offers flexible hours and requires availability in IST and/or EST timezones. Ideal for senior engineers who enjoy teaching and shaping job-ready engineers.

Qualifications

• 5+ years hands-on experience in software engineering or data engineering.
• 1+ year in training, mentoring, or consulting preferred.
• Strong practical expertise in backend development (Java, Python, Spring, Node.js).
• Frontend development (React/Angular/Vue) and databases SQL/NoSQL are valuable.
• DevOps, Docker, Kubernetes, CI/CD pipelines and cloud platforms (AWS/Azure/GCP).
• Data engineering, analytics, AI/ML experience is a plus.

Responsibilities

• Manage learners' development and ensure progress toward job-readiness.
• Review assignments, coding projects, and labs; provide detailed feedback.
• Respond to learner questions via Slack and calls in IST/EST timezones.
• Offer technical guidance, best practices, and professional mentorship.
• Help learners troubleshoot code, architecture, cloud deployments, data pipelines, or tooling in your area of expertise.
• Share insights on modern engineering workflows and toolchains.

Skills

Software engineering

Data engineering

Training

Mentoring

REST APIs

CI/CD

Docker

Kubernetes

Cloud platforms

DevOps

Tools

Docker

Kubernetes

AWS

Azure

GCP

GitHub Actions

Job description

Location: Remote

Schedule: Part time (10-15 hours/week), must be available in IST and/or EST timezone

Contract: 1-month contract with strong potential for long-term extension

About Uptime Crew

Uptime Crew multiplies technology talent potential to power today’s leading enterprises. We remove barriers for diverse early-career technologists by delivering elite, immersive, outcome-based training that prepares them for long, rewarding careers.

We are expanding our global instructor network and seeking experienced Technical Trainers across multiple disciplines, including:

• Java
• Python
• Databases (SQL/NoSQL)
• Spring / Backend Development
• JavaScript / Node.js / React
• Docker & Kubernetes
• CI/CD & Cloud (AWS preferred)
• Data Engineering / AI / Machine Learning
• Pega

If you are a seasoned practitioner who loves mentorship, teaching, and transforming learners into job-ready engineers, we'd love to hear from you.

About the Role

Learners will complete structured curriculum through our online platform. You will supplement that training through hands-on guidance, technical feedback, mentorship, and industry insight, ensuring each learner is fully job-ready.

This role is ideal for a mid-to-senior engineer who enjoys coaching and wants flexible part-time work without writing lecture content.

Key Responsibilities

• Manage learners' development and ensure they progress toward job-readiness
• Review assignments, coding projects, and labs; provide detailed, actionable feedback
• Respond to learner questions via Slack and calls (IST and EST timezone)
• Offer technical guidance, best practices, and professional mentorship
• Help learners troubleshoot issues in code, architecture, cloud deployments, data pipelines, or tooling-based on your area of expertise
• Provide insight on modern engineering workflows, tools, and skill expectations in today’s workforce
• Share feedback with the Uptime Crew training team to continuously improve the learner experience

Who We're Looking For

Core Qualifications

• 5+ years hands-on experience in software engineering or data engineering
• 1+ year in training, mentoring, or consulting preferred
• Strong practical expertise in one or more of the following:
• Backend development (Java, Python, Spring, Node.js)
• Frontend development (React/Angular/Vue)
• Databases, SQL/NoSQL, data modelling
• DevOps, Docker, Kubernetes
• CI/CD pipelines and cloud platforms (AWS/Azure/GCP)
• Data engineering, analytics, AI/ML

General Technical Strengths

• Experience building or supporting enterprise applications
• Solid understanding of software engineering fundamentals, data structures, and clean code principles
• Familiarity with REST APIs, microservices, and distributed systems
• Version control and CI/CD workflows (GitHub Actions, Jenkins, GitLab CI, etc.)
• Comfort troubleshooting issues across code, cloud deployments, or data workflows

Nice to Have

• Experience with test automation tools (JUnit, pytest, Jest, Mockito, etc.)
• Familiarity with container orchestration, infrastructure-as-code, or MLOps pipelines
• Experience deploying apps or services on AWS/Azure/GCP
• Prior experience teaching, mentoring, or managing junior developers