Trainer, DevOps

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

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/No
  
  SQL)
• 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.

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.

• 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

• 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/No
  
  SQL, data modelling
• Dev Ops, Docker, Kubernetes
• CI/CD pipelines and cloud platforms (AWS/Azure/GCP)
• Data engineering, analytics, AI/ML

• 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 (Git Hub Actions, Jenkins, Git Lab CI, etc.)
• Comfort troubleshooting issues across code, cloud deployments, or data workflows

• 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