Senior QA Automation / SDET

🔥 21 minutes ago

🌐 Argentina, Colombia, +6 more countries – Remote

🇦🇷 Argentina – Remote 🇨🇴 Colombia – Remote 🇲🇽 Mexico – Remote 🇵🇪 Peru – Remote 🇺🇾 Uruguay – Remote 🇨🇱 Chile – Remote 🇪🇨 Ecuador – Remote 🇸🇻 El Salvador – Remote

⏰ Full Time

🟠 Senior

⚙️ Software Development Engineer in Test (SDET)

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Marvik

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Marvik is a technology consultancy that designs, builds, and deploys production-ready artificial intelligence solutions for enterprise customers. They offer end-to-end AI services including strategy and opportunity discovery, data engineering, model development (agents, LLMs, generative AI, computer vision, predictive analytics), robotics and automation, and on-demand senior AI talent and leadership (fractional CAIO). Marvik focuses on delivering scalable AI that drives business impact across industries like retail, e-commerce, logistics, fintech, manufacturing, healthcare, energy, and government.

📋 Description

• Design, build, and maintain scalable automated testing suites for UI, API, and database layers from scratch • Integrate automated tests into CI/CD pipelines to validate builds, detect regressions early, and ensure deployment readiness • Implement automated visual regression and UI testing using Playwright or Selenium • Execute comprehensive API automation and perform complex data comparisons against MongoDB and SQL databases • Write and maintain automated acceptance tests using BDD methodologies • Collaborate with platform/DevOps teams to run automated test suites within Kubernetes and Terraform containerized environments

🎯 Requirements

• 4+ years of dedicated experience as a QA Automation Engineer or SDET • 100% automation focus; no manual exploratory testing • Strong proficiency in .NET / C# for writing clean, maintainable test code • Advanced hands-on experience with either Playwright, including UI snapshots/visual regression testing, or Selenium • Demonstrated experience in API automation, REST APIs, JSON payloads, and contract testing • Hands-on experience querying and validating MongoDB alongside SQL Server • Practical experience with BDD frameworks such as SpecFlow, Cucumber, or Gherkin • Exposure to Kubernetes, Terraform, and continuous integration pipelines such as GitHub Actions or Azure DevOps • Working familiarity with Model Context Protocol (MCP), agent frameworks, and eval frameworks • Experience deploying inference workloads on Azure AI Foundry / Azure OpenAI and/or AWS Bedrock / SageMaker • Experience with Autodesk products and APIs • Construction, MEP, or manufacturing domain knowledge • Experience leading large-scale system migrations or architectural transformations • Familiarity with modern serverless technologies on either cloud • Track record of establishing technical standards across engineering organizations • Understanding of event-driven architectures and message-based integration

🏖️ Benefits

• A central role in the team that defines the next products, not just maintains the existing ones • End-to-end ownership of the agentic AI layer on top of what Labs ships • AI-assisted development as a first-class practice using Claude Code, Cursor, and Copilot • Autonomy to exercise real engineering judgment • Modern, multi-cloud stack with MongoDB, SQL, Azure, and AWS • Real influence over architecture, technical standards, and engineering culture • High-bar technical environment where architectural decisions impact multiple teams and products