SDET

Job not on LinkedIn

🕒 July 18

🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

⚙️ Software Development Engineer in Test (SDET)

👻 Ghost score 32%

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.

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VALCE Talent Solutions

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2016

🤝 B2B

🎯 Recruiter

💼 Consulting

B2B • Recruitment • Consulting

VALCE Talent Solutions is a company specializing in nearshoring, IT talent acquisition, and consultancy aimed at helping businesses expand globally, particularly in Mexico, LATAM, and the United States. They offer customized solutions that include talent recruitment, workforce management, and the integration of technology and artificial intelligence to enhance business processes. With a strong focus on strategic consulting, VALCE aims to connect technology, talent, and tangible results, boasting a robust network of IT professionals and a proven track record of successful placements and project scaling.

📋 Description

• Design and implement automated testing frameworks • Collaborate with development teams to ensure quality standards • Continuously improve testing processes and automation strategies • Analyze and report testing results, suggest improvements

🎯 Requirements

• Strong automation engineering background with hands-on framework design and coding • Hands-on expertise in Playwright for UI and end-to-end automation • Proven experience testing APIs, integration flows, and CI/CD quality gates • Experience testing agentic AI applications, including workflow accuracy, tool usage, and failure handling • Strong programming skills in Java, Python, or similar languages for automation • Ownership mindset, innovative thinking, and ability to drive quality improvements end to end • Experience with LLM evaluation, prompt/workflow validation, and agent guardrail testing • Exposure to performance, resiliency, and observability testing for AI systems • Knowledge of retrieval-based systems, tool-calling workflows, and non-deterministic test patterns • Experience with service virtualization, test data management, and synthetic test environments • Familiarity with cloud-native testing in distributed/event-driven systems • Mentoring experience and contribution to quality engineering best practices across teams

🏖️ Benefits

• Completamente remoto