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Salary
$62k – $74k per year
Location
Hybrid (Paris, France)
Seniority
Staff
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on May 28, 2026. Odaseva scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Odaseva is an enterprise data management company focused on Salesforce. Its platform provides backup and restore, data archiving, sandbox seeding, data anonymization and privacy compliance tools for large organizations running complex Salesforce environments, with engineering teams in Paris. Founded in 2012, the company is headquartered in San Francisco, California, United States.
Backed by Eight Roads

About The Role

    We are looking for a Lead Automation Engineer to drive the automation strategy across our Quality Engineering organization.

    This is a hands-on technical leadership role:

    you will architect and evolve reactive test automation frameworks, own API and UI test coverage, embed automation deeply into CI/CD, and bring AI-driven approaches into everyday QE practice.

    You will also act as a backup to the QA Manager, stepping in on team coordination, planning, and stakeholder reporting when needed.

Key Responsibilities

    Automation Strategy & Framework Ownership

  • Design, build, and maintain reactive, scalable test automation frameworks from the ground up

  • Define automation standards, coding conventions, and best practices across the QE team

  • Continuously evaluate and evolve the toolchain to keep pace with product and team growth

  • Technical Execution

  • Lead UI test automation using Playwright, including page object patterns, parallelization, and cross-browser strategy

  • Own API test automation and using Postman and Pactum JS (collections, environments, automated test scripts, monitors)

  • Integrate automated test suites deeply into CI/CD pipelines, optimizing for speed, reliability, and actionable failure reporting

  • Champion a "shift-left" approach, embedding automation earlier in the development lifecycle

  • AI-Driven Quality Engineering

  • Identify and implement practical AI applications within QE workflows: test generation, self-healing tests, intelligent triage of flaky tests, coverage gap analysis, and reporting automation

  • Stay current on AI-assisted testing tools and evaluate their fit for the team's stack and maturity level

  • Leadership & Team Support

  • Mentor QE engineers on automation best practices, framework usage, and debugging

  • Act as backup to the QA Manager: covering team check-ins, sprint planning, release quality gates, and stakeholder updates in their absence

  • Partner with engineering, product, and release management to align automation coverage with release priorities

  • Reporting & Continuous Improvement

  • Track and report automation coverage, execution health, and ROI metrics to engineering leadership

  • Drive root-cause analysis on test failures and flaky tests, feeding improvements back into the framework

Required Qualifications

  • Master’s degree in Computer Science, Engineering, or a related quantitative discipline.

  • 8 years+ of software engineering, quality assurance/engineering.

  • Proven experience building test automation frameworks from scratch.

  • Strong, hands-on experience with Playwright for UI automation.

  • Strong, hands-on experience with Postman for API testing and automation.

  • Experience with Gherkin/BDD frameworks.

  • Solid CI/CD experience (e.g., Jenkins, GitHub Actions, GitLab CI, or similar), including pipeline design for test execution.

  • Practical experience applying AI tools/techniques within a QA or QE context.

  • Familiarity with test data strategy and orchestration for complex, multi-step workflows.

  • Experience mentoring or informally leading other engineers.

  • Comfortable stepping into a management-adjacent role (planning, reporting, team coordination) when needed.

  • Strong communication skills, able to report to both technical and non-technical/VP-level stakeholders.

Nice to Have

  • Experience in a Salesforce or data management product environment.

Where you'll be

  • Based in Paris (75002), France.
  • Hybrid: 3 days in the office / 2 days remote work.
  • Full time permanent contract position.
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