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Senior Software Development Engineer in Test (SDET)

Relocation
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AI Summary

Establish and scale quality engineering capabilities. Collaborate with engineers and product teams to develop and maintain automated testing solutions across APIs, web applications, and integration services. Validate complex workflows and ensure HIPAA-compliant synthetic test data.

Key Highlights
Shape Verato's automation strategy and testing practices
Work with AI-powered tools to accelerate test creation and improve automation processes
Validate complex healthcare workflows and ensure HIPAA compliance
Key Responsibilities
Build and maintain automated test suites across API, UI, and integration layers using modern automation frameworks
Integrate tests into CI/CD pipelines for continuous test execution
Generate synthetic PHI test data using LLM tooling following HIPAA compliance
Validate AI-generated test cases for correctness, healthcare domain accuracy, and adequate edge case coverage
Run risk-based test prioritization and serve as the quality gate before releases
Technical Skills Required
Python JavaScript/TypeScript API testing
Benefits & Perks
Relocation bonus of $42,500 MXN pesos
Nice to Have
Experience with Playwright or similar browser testing frameworks
Familiarity with healthcare interoperability standards such as FHIR, HL7, or EHR integrations
Exposure to cloud environments (AWS or GCP) and container technologies (Docker or Kubernetes)

Job Description


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All Jobs > Software Development Engineer in Test (SDET)

Verato Inc.

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Software Development Engineer in Test (SDET)

YUCATAN, MEXICO, Yucatan, MEX

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Description

This position is based in Mérida, Yucatán, México. If you do not live in/around Merida, and are still interested in this position, relocation will be required within 60 days of accepting this position. Verato will provide a relocation bonus of $42,500 MNX pesos to help with your move.

About Verato

As digital transformation and AI progress at lightning speed, organizations find themselves data-rich and insights-poor. Digital transformation’s promise to drive better experiences and business performance is falling short. Data is often trapped in silos across disconnected systems of record, such as ERPs and EHRs, systems of engagement, such as CRMs, and systems of insight, such as cloud data platforms. These systems cannot integrate seamlessly without a single source of truth for identity, making it impossible to share and consume complete and trusted 360-degree views of people, organizations, and networks.

Verato, the identity intelligence experts, powers exceptional experiences everywhere by solving the problem that drives everything else — knowing who is who. The Verato MDM Cloudä, the next generation of MDM, delivers unprecedented identity intelligence by uniquely combining extraordinary identity resolution and enrichment with identity verification, AI-powered data governance, and advanced insights. Verato re-imagines MDM to be purpose-built and nimble to drive a complete and trusted 360-degree view of people, organizations, and networks across complex ecosystems with unmatched speed to value, enterprise-grade performance, and customer success. More than 75% of the US population flows through Verato, powering a single source of truth for identity across the critical industries of healthcare, life sciences, financial services, public sector, and beyond. For more information, visit verato.com.

Core to Verato’s strategy for sustained growth is our commitment to building a strong, people-first culture that attracts, develops, and retains top talent worldwide. Verato operates on the simple principle that a company must prioritize its employees first and foremost. In return, these employees will take care of the company’s customers, and in turn, those customers will support the company’s shareholders. Verato believes in empowering teams with the best tools and development opportunities available. Staff are given chances to expand their knowledge in areas like technology (e.g., big data, distributed/cloud computing, complex algorithms), healthcare, and organizational development. As Verato continues a path of high growth and significant impact, every team member gains an influential front-row seat as we execute our business strategy. Together, we can bring about a profound and positive transformation in healthcare as we know it today.

VERATO VALUES

We are committed to continually raising the standard of excellence throughout the organization, from marketing to engineering to customer service. Our guiding principles are to Make a Difference, to be Trustworthy, and to be Customer Obsessed.

Verato employees have a precise focus on proactively protecting the privacy and security of all systems while always ensuring they are following documented policies and procedures.

About The Position

We are building a new Platform Assurance team and are looking for a Software Development Engineer in Test (SDET) to help establish and scale our quality engineering capabilities.

As one of the founding members of this new team, you will play a key role in shaping Verato's automation strategy, testing practices, and quality standards. You will work closely with Software Engineers and Product teams to develop and maintain automated testing solutions across APIs, web applications, and integration services, helping ensure the quality, reliability, and performance of our platform.

As Verato continues to expand the use of AI across the software development lifecycle, our Platform Assurance team is leveraging AI-powered tools to accelerate test creation, improve automation processes, and validate AI-driven product capabilities. You will also help ensure the quality of healthcare-focused solutions by validating complex workflows and working with HIPAA-compliant synthetic test data.

This role offers the opportunity to grow alongside a new and evolving team, with a defined career path, and future opportunities as the organization continues to expand.

Key Responsibilities

  • Build and maintain automated test suites across API, UI, and integration layers using using modern automation frameworks (Playwright, Pytest, and similar tools).
  • Use Claude Code and Anthropic's API to accelerate test authoring
  • Integrate tests into CI/CD pipelines via GitHub Actions for continuous test execution on every commit
  • Build and operate the story-to-test pipeline: Jira acceptance criteria ? LLM-generated draft tests ? SDET review ? automated suite
  • Generate synthetic PHI test data using LLM tooling (following HIPAA compliant)
  • Validate AI-generated test cases for correctness, healthcare domain accuracy, and adequate edge case coverage
  • Test Verato's AI features (Smart Steward, match explainability)
  • Run risk-based test prioritization — understand which platform areas carry the most regression risk per release
  • Triage failures, distinguish real regressions from flakiness, escalate with full root cause context
  • Serve as the quality gate before releases promote from testing ? UAT ? production

Requirements

Required

  • 3+ years of experience in Software Quality Engineering, Test Automation, or SDET roles
  • Strong software development skills in Python, Java, or JavaScript/TypeScript, with experience designing and maintaining automated testing frameworks.
  • Experience building and maintaining browser test suites
  • API test experience with REST services (Postman, Pytest + requests, RestAssured, or similar)
  • CI/CD integration experience (GitHub Actions, Jenkins, or equivalent)
  • Ability to read and understand application code to design effective test strategies.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Professional English proficiency to collaborate with US-based teams.

Preferred Qualifications

  • Experience using Claude Code or other AI coding assistants in day-to-day engineering work
  • Exposure to LLM-based test generation tools or prompt engineering for test scenarios
  • Browser testing frameworks: Playwright (preferred) or similar
  • Familiarity with healthcare interoperability standards such as FHIR, HL7, or EHR integrations.
  • Experience with performance testing tools (k6 preferred).
  • Exposure to cloud environments (AWS or GCP) and container technologies (Docker or Kubernetes)

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