
Freelance DevOps Support Engineer (Part-Time, Remote, Americas Time Zone)
Freelance DevOps Support Engineer (Part-Time, Remote, Americas Time Zone)
Type: Freelance / Contract Hours: 10β20 hrs/week
Location: 100% Remote β Americas/Canada time zones required
Compensation: Hourly + base pay for availability (competitive, based on experience)
Duration: Long-term collaboration
About Us
At TechWorld With Nana we build next-generation DevOps and Cloud engineers through hands-on, outcome-driven education. Our students don't just watch content β they build, deploy, break, and ship real systems.
To support this mission, we're looking for an experienced DevOps / Cloud Engineer who genuinely enjoys helping others learn and grow.
The Role
As a DevOps / Cloud Support Engineer, your primary responsibility is to provide technical support to our students on Discord across our DevOps and DevSecOps bootcamp programs. You will combine deep technical expertise with clear, patient communication to ensure students feel supported and unblocked throughout their learning journey.
Key Responsibilities
Student Technical Support
Answer student technical questions within 2 hours on Discord
Help students troubleshoot issues with tools, commands, configurations, and concepts
Proactively check in on open threads to ensure students are unblocked and making progress
Foster a supportive, high-trust learning environment
Support is primarily written via Discord, but when needed, jump on a short call to unblock students faster
Course Quality Feedback
Flag and document course content that appears outdated, broken, or unclear
Report recurring student issues to the course maintenance team
Contribute observations that help keep bootcamp content aligned with current industry standards
Career Development Support (occasional, on-demand)
Conduct 1-on-1 career calls with students β mock interviews, career planning, job search strategy
Review and provide actionable feedback on student CVs and LinkedIn profiles
Help students prepare for technical interviews
Required Skills & Experience
3+ years of professional DevOps experience
Solid hands-on experience with Docker, Kubernetes, CI/CD pipelines, Terraform, AWS, and scripting
Strong written English β clear, patient, and helpful communication style
Available to cover North American time zones (ET/PT)
Comfortable working in a fast-moving, remote environment
Nice to Have
Prior experience with DevSecOps concepts and tools
Experience mentoring, teaching, or coaching engineers
Familiarity with Discord as a support and community channel
Exposure to AI-driven DevOps tools and workflows
Public GitHub profile or portfolio
Compensation & Hours
Hourly rate + base pay for availability
10β20 hours per week, flexible schedule based on student demand
Competitive rates for top-tier candidates
Why Join Us
Direct influence on engineers' careers
High autonomy and ownership in your work
Work with modern DevOps tooling and a passionate learning community
Fully remote, flexible schedule
Long-term collaboration potential
How to Apply
A note on our application process: This is a student-facing role where clear communication and comfort on camera are essential. As part of our application process, we require every applicant to submit 3 short Loom videos (max 5 min each). This is non-negotiable β if you are not comfortable recording yourself, this role is likely not the right fit. Applications without all 3 Loom videos will not be considered.
Record Loom Video #1 β About You (max 5 min):
Why this role interests you and why you enjoy helping others learn and grow
A concise summary of your technical background and relevant soft skills
Record Loom Video #2 β Support & Communication Skills (max 5 min), covering:
You're helping a student whose Kubernetes pod is stuck in CrashLoopBackOff. Walk me through your exact thought process β what do you look at first, what commands do you run, and how do you explain each step without overwhelming them?
Explain the difference between a Kubernetes Deployment and a StatefulSet to a student who understands Docker but has never used Kubernetes. No diagrams, no bullet points β just talk it through.
A student's Terraform apply works locally but fails in CI/CD with a permissions error. They've already tried three things and are frustrated. What's your diagnostic approach, and how do you manage both the technical problem and the student's frustration?
What is the single most common misconception students have when they first start working with Kubernetes networking? Why does it happen, and how do you correct it without making the student feel stupid?
Record Loom Video #3 β Technical Depth (max 5 min), covering:
Design a complete end-to-end CI/CD pipeline for a microservices app deployed to Kubernetes β from code commit to production, including testing, security scanning, image building, versioning, rollback, and monitoring. What tools would you choose at each stage and why?
A startup wants to migrate a monolith to microservices on AWS. Team of 3 devs, no dedicated DevOps, max 2 hours downtime. Design the migration strategy, infrastructure, and CI/CD pipeline. What are the biggest risks and how do you mitigate them?
Your production Kubernetes cluster has intermittent pod evictions during peak traffic. Walk through your complete investigation β metrics, tools, root cause analysis, and how you present findings to both technical and non-technical stakeholders.
Walk through a security-first approach in a production CI/CD pipeline β secrets management, container image scanning, IaC security checks, and runtime monitoring. Give concrete tool choices and explain the tradeoffs.
Also include:
Your CV and LinkedIn
Your proposed hourly rate (USD) and base pay expectation. Include a range if flexible.
Confirmation you can commit 10β20 hours/week, your timezone, and overlap with ET/PT
2β3 references (names and roles only)
(Optional) GitHub profile or public portfolio link
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