QA Engineer (JavaScript)

Nebius Academy is an international online learning platform helping engineering teams master AI and cloud technologies. We build hands-on, industry-relevant programs for B2B audiences — combining deep technical expertise with real-world application.

Our QA curriculum focuses on AI-assisted quality engineering: how to use modern AI tools to write smarter tests, automate faster, and build more reliable mobile and backend products.

Who are we looking for?

We are building a talent pool of experienced QA engineers and technical experts for ongoing roles as Instructors, Authors, and Subject Matter Experts in our AI-assisted QA educational program.

We are looking for specialists across the following areas: Kotlin, Swift, Java, Python, JavaScript/TypeScript, Mobile QA (Android / iOS), and other languages with a QA focus.

A strong candidate doesn't just know their stack deeply — they actively use AI-assisted QA tools in their daily workflow. We prioritize hands-on experience with tools such as Cursor, testRigor, Magic Inspector, Rainforest QA, AI-powered test generation, agentic workflows, MCP ecosystem integrations, or similar. The ability to teach others how to integrate these tools into real QA practice is what sets our experts apart.

These are Talent Pool positions — we continuously review applications and build our roster of experts. This means there may not be an immediate opening at the time you apply, but strong candidates will be added to our talent pool and contacted as relevant opportunities arise.

You can join us on a part-time basis (~10–15h/week), contributing as an instructor leading live sessions and workshops, as a course author creating learning materials, or as a subject matter expert supporting curriculum development. Teaching sessions are compensated separately.

Compensation: $40–80/hour, depending on experience and format of collaboration.

Our selection process is fully asynchronous and designed to respect your time:

1. Application Review — we evaluate your profile against our current needs
2. Async Video Interview — a short self-recorded interview (10–15 minutes max)
3. Test Assignment — approximately 1 hour to complete
4. Talent Pool — finalists are added to our active roster of vetted experts
5. Hiring Manager & Tech Expert Call — once a relevant position opens, we invite you to a live interview with our team
6. Offer — we extend an offer for a relevant position upon successful completion of the process

Apply now — we review applications on an ongoing basis.

Please submit your resume in English.

Available Roles

We are building a talent pool of Instructors, Authors, and Subject Matter Experts for our AI-assisted QA educational programs. We hire on an ongoing basis across the following specializations:

Most in demand: AI for Manual QA, AI for Automated Testing, AI for Mobile QA (Kotlin / Android / iOS) Also relevant: other languages and QA domains

Depending on your expertise, you may:

• Deliver live workshops and training sessions
• Create educational content, assessments, and project-based learning materials
• Design practical exercises, guides, prompts, and reference resources
• Help define curriculum structure, learning objectives, and competency frameworks
• Review content for technical accuracy and industry relevance
• Share insights on AI tools, workflows, and emerging trends
• Collaborate with instructional designers and curriculum teams to continuously improve learning outcomes
• Support program updates based on learner feedback and market needs

Areas of involvement

• Instructor — leads live sessions, workshops, and learner interactions.
• Author — creates course content, lessons, assessments, and projects.
• Subject Matter Expert — shapes curriculum strategy, competency frameworks, and program direction.

⌛ All roles are part-time: 10–15 hours per week.

• 5+ years of experience in QA Engineering, with a strong focus on mobile QA (Android/iOS), test automation, or AI-assisted quality engineering
• Solid knowledge of one or more of the following: Kotlin, Swift, Java, Python, JavaScript/TypeScript
• Hands-on experience with AI-assisted QA tools such as Cursor, testRigor, Magic Inspector, Rainforest QA, MCP ecosystem integrations, agentic workflows, or similar, with real implementation experience and measurable impact
• Strong ability to share knowledge through content creation, training, mentoring, or facilitation, making complex QA concepts clear, practical, and engaging for learners
• Ability to work independently with strong ownership and minimal supervision
• Strong attention to detail
• Availability to collaborate within European time zones
• Ability to dedicate approximately 10–15 hours per week
• Fluent English (written and spoken); Russian or Spanish is a strong plus
• Background in QA advocacy, tech leadership, mentoring, conference speaking, or technical community engagement is a plus

Nice-to-have

• Strong expertise in QA Engineering, Test Automation, or AI-assisted Quality Engineering
• Ability to evaluate real-world AI/QA tools, testing architectures, and workflows, distinguishing practical approaches from hype
• Experience creating competency maps, skill frameworks, learning roadmaps, or curriculum structures
• Ability to review technical learning content and provide structured feedback

• The opportunity to create impactful content while maintaining your primary job: Share your expertise without leaving your current role
• Competitive hourly rate of $40-$85 USD for flexible part-time collaboration with significant impact and an amazing team!
• Remote cooperation with a schedule convenient for both you and the team: We don't focus on micromanagement
• Cross-cultural experience: Become part of an international team and connect with professionals from diverse backgrounds
• Meaningful impact: Share your knowledge and help experienced engineers advance their skills through high-quality educational content
• Participation in innovative projects: Contribute to shaping the future of programming education and AI adoption
• Professional growth: Receive feedback and develop your skills as a technical content creator and thought leader

About the role

About the company

Context

Responsibilities

• Run smoke and regression passes before workflow and system releases go live
• Verify that bug fixes and configuration changes behave as expected across the affected processes
• Maintain the release sign-off checklists and flag anything that is not ready to ship
• Track what was tested, what passed and what is still open, so release decisions are made with full visibility

• Reproduce reported issues, isolate the conditions that trigger them and narrow down where in the workflow they originate
• Inspect API requests and responses to find where a call fails: a bad payload, an unexpected response, a broken integration or a downstream error
• Read application logs, execution traces and error messages to gather evidence before escalating
• Write reproducible bug reports: steps, expected and actual behaviour, environment, severity and supporting evidence
• Triage incoming reports from business teams, filter out noise and duplicates and route real problems to the right owner

• Watch the health of the running automations and integrations, and spot failures before users report them
• Investigate failed or stuck runs and work out whether the cause is configuration, a failing integration or a system defect
• Perform safe re-runs and recovery steps for known failure patterns under guidance
• Track recurring failures over time and surface the patterns worth fixing properly

• Execute, review and update existing test cases as the workflows evolve
• Keep test data, environment notes and process documentation current
• Identify gaps in coverage and propose test cases for the scenarios that keep slipping through
• Contribute to a shared knowledge base of known issues, workarounds and debugging playbooks

• Work with business stakeholders, system analysts, product managers and engineers to confirm expected behaviour and validate fixes
• Communicate testing status and blockers early, in language both technical and non-technical people can act on
• Support end users through the rollout of workflow changes by verifying real-world scenarios

Qualifications

Required

• Recent graduate in computer science, engineering, information systems or a related field
• Working understanding of APIs: what a REST request and response look like, how status codes and JSON payloads work and how to send a call with a tool like Postman
• Basic scripting in Python or JavaScript, enough to read an existing automation script, understand what it does and make small adjustments
• Strong analytical instincts and the patience to reproduce an issue methodically rather than guess at it
• Attention to detail and a structured, documentation-friendly way of working
• Clear written English. A bug report is only useful if someone else can follow it
• Willingness to learn quickly, ask questions and own a small piece of work end to end

Strong plus

• QA fundamentals: test cases, regression testing, the bug lifecycle, severity and priority
• Hands-on API testing: Postman collections, environment variables, chained requests or basic API test automation
• Familiarity with webhooks, authentication flows such as API keys and OAuth, or reading API documentation
• Exposure to workflow automation or low-code platforms such as Power Automate, Camunda, Zapier or n8n
• Experience with issue trackers such as Jira or Linear, or with test management tools
• Interest in fintech, payments or high-volume transactional systems
• Any academic project, internship or personal work involving testing, debugging or integration

Eligibility

• Saudi nationals only
• This position is aimed at fresh graduates
• We expect a full-time level of engagement. The programme is not part-time. Performance, ownership and involvement are expected at a full-time level

Benefits

• Six months, starting autumn 2026
• Paid internship, funded by Tabby
• Full integration into the Process Engineering team in Risk and Credit
• Distributed team across multiple countries
• A path to a junior role on the team afterwards. That is our intent and what we aim for, not a guarantee: it depends on how the internship goes

About the Role

We are seeking a Staff Software Development Engineer in Test (SDET) specializing in Data Connectors & High-Scale Ingestion. In this role, you will be the technical authority responsible for designing testing frameworks and benchmarking tools that validate multi-source data integration pipelines processing petabyte-scale throughput across AWS, Azure, and Kubernetes. 

What You’ll Do

• Design and execute scalable performance, backpressure, and stress-testing harnesses for ingestion connectors (REST, gRPC, CDC, Kafka, RabbitMQ)
• Build automation suites across AWS (S3, SQS, Kinesis, EKS) and Azure (Event Hubs, Blob, AKS) to test real-world connector data flows under degraded network conditions and extreme concurrency
• Implement automated fault-injection pipelines (simulating schema drift, network partitions, rate limits, and authentication failures) to guarantee zero-data-loss execution
• Utilize Kubernetes to dynamically orchestrate transient, high-concurrency test clusters and mock target endpoints at scale

What You’ll Bring

• 8+ years of software engineering/SDET experience in C++, Java, Go, or Python
• Deep experience in testing streaming architectures (Kafka, Event Hubs), queueing systems, and API protocols (gRPC, WebSockets, REST)
• Hands-on proficiency with AWS, Azure, and Kubernetes (Helm, custom controllers, or K8s operators)
• Proven track record building custom distributed load-generation tools (e.g., Locust, k6, custom Go/Java engines)
  
  

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