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Odaseva

Salesforce data governance, protection, compliance

Lead Automation Engineer

Test Automation EngineeringConfirmed live in the last 24 hours
Full-timeParis, France€55k - €66k /yr

About the Job

Requirements

  • A Master's degree in Computer Science, Engineering, or a related quantitative discipline is required.
  • At least 8 years of software engineering, quality assurance, or quality engineering experience is required.
  • Proven experience building test automation frameworks from scratch is required.
  • Strong hands-on experience with Playwright for UI automation is required.
  • Strong hands-on experience with Postman for API testing and automation is required.
  • Experience with Gherkin or behavior-driven development frameworks is required.
  • Solid continuous integration and continuous delivery experience, including pipeline design for test execution, is required; examples include Jenkins, GitHub Actions, and GitLab CI.
  • Practical experience applying artificial intelligence tools or techniques within a quality assurance or quality engineering context is required.
  • Familiarity with test data strategy and orchestration for complex, multi-step workflows is required.
  • Experience mentoring or informally leading other engineers is required.
  • Comfort stepping into a management-adjacent role involving planning, reporting, and team coordination is required.
  • Ability to communicate and report to technical and non-technical stakeholders, including vice president-level stakeholders, is required.

Responsibilities

  • Design, build, and maintain reactive, scalable test automation frameworks from the ground up.
  • Define automation standards, coding conventions, and best practices across the quality engineering team.
  • Continuously evaluate and evolve the toolchain to keep pace with product and team growth.
  • Lead UI test automation using Playwright, including page object patterns, parallelization, and cross-browser strategy.
  • Own API test automation using Postman and Pactum JS, including collections, environments, automated test scripts, and monitors.
  • Integrate automated test suites into continuous integration and continuous delivery pipelines, optimizing for speed, reliability, and actionable failure reporting.
  • Embed automation earlier in the development lifecycle through a shift-left approach.
  • Identify and implement practical artificial intelligence applications in quality engineering workflows, including test generation, self-healing tests, intelligent triage of flaky tests, coverage gap analysis, and reporting automation.
  • Stay current on artificial intelligence-assisted testing tools and evaluate their fit for the team's technology stack and maturity level.
  • Mentor quality engineering engineers on automation best practices, framework usage, and debugging.
  • Back up the QA Manager by covering team check-ins, sprint planning, release quality gates, and stakeholder updates when needed.
  • Partner with engineering, product, and release management to align automation coverage with release priorities.
  • Track and report automation coverage, execution health, and return-on-investment metrics to engineering leadership.
  • Drive root-cause analysis on test failures and flaky tests, and feed improvements back into the framework.

Desired Qualifications

  • Experience in a Salesforce or data management product environment is preferred.

About the Company

Odaseva

Salesforce data governance, protection, compliance

Odaseva provides data governance for Salesforce, offering backup and restore (data protection), data compliance (GDPR, CCPA), and data operations (automation and data quality) for large enterprises and nonprofits. It delivers a subscription-based suite that integrates with Salesforce to automatically back up data, enable quick recovery, enforce regulatory compliance, and automate data-management tasks to improve data quality and speed up innovations. Differentiation comes from focusing on Salesforce data governance at scale, combining protection, compliance, and operations in a single platform with customizable solutions for large organizations. The company aims to help customers protect, govern, and optimize their Salesforce data to stay compliant and operate efficiently.

Company size
51-200
Company stage
Series C
Total funding
$91.1M
Headquarters
San Francisco, CA
Founded
2012

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