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 ExecutionLead 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 EngineeringIdentify 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 SupportMentor 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 ImprovementTrack 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.
Skills Required
- Experience in quality assurance testing
- Proficiency in automation testing tools
- Understanding of Salesforce and data management
What We Do
At enterprise scale, Salesforce data is different. Data volumes are large. Data models are more sophisticated. Integrations, regulations, and business processes are much more intricate. All this complexity dramatically increases the risks to your data threatening to grind business to a halt. Odaseva is the only data platform built specifically to help the world's largest, most ambitious Salesforce customers keep their data protected, compliant, and agile. With Odaseva, Salesforce architects and platform owners get a powerful set of tools to help solve the problems at the foundation of the Salesforce data value chain. Keep customer data intact and available with comprehensive backup and archiving, apply analytics to prevent disruptions before they happen, use automation to take control of the entire data lifecycle and solve privacy and compliance issues at the root, and easily move data between production and non-production environments, to sandboxes, and to systems outside Salesforce. White Paper: Odaseva Complete Guide to Salesforce Backup and Restore https://www.odaseva.com/complete-guide-to-salesforce-backup-and-restore









