Jobs / Agilent Technologies
Software Test Automation Engineer (m/f/d)
Agilent Technologies · Waldbronn, BW, Deutschland
Waldbronn, BW, DeutschlandRemote
Remuneration
Not specified
Location
Waldbronn, BW, Deutschland
Visa sponsorship
Not specified
Job summary
The Software Test Automation Engineer is responsible for enhancing test automation capabilities within an agile development team. Key responsibilities include designing and maintaining automated test frameworks for various software solutions, developing tests for CI/CD pipelines, and leveraging AI-powered testing technologies to improve software quality and efficiency.
Benefits
Competitive salaryBonus eligibilityParticipation in the Employee Stock Purchase Plan
Qualifications
- Several years of experience in software test automation, software quality engineering, or software development
- Strong understanding of software testing methodologies, quality engineering principles, and test automation frameworks
- Experience testing modern cloud-based and distributed applications
- Hands-on experience with Docker and Kubernetes in development, testing, or deployment environments
- Experience working in Agile development teams
- Practical experience using AI-assisted development or testing tools to improve software quality and engineering efficiency
- Excellent English communication skills; German language proficiency is an advantage
- Knowledge of laboratory workflows, scientific software, analytical instrumentation, or instrument control software is a bonus
Responsibilities
- Design, implement, and maintain scalable automated test frameworks for desktop, web, and enterprise software solutions
- Develop reliable, maintainable, and efficient automated tests integrated into modern CI/CD pipelines
- Partner closely with Software Engineers, Product Owners, Quality Engineers, and DevOps teams to establish effective quality strategies
- Drive a shift-left quality approach by embedding automation early in the software development lifecycle
- Identify, analyze, and troubleshoot defects, automation failures, and test infrastructure issues
- Evaluate and apply AI-powered testing technologies to improve test generation, maintenance, execution, and defect analysis
- Continuously improve test coverage, automation maturity, release confidence, and engineering productivity
- Contribute to technical discussions, risk assessments, and quality decisions across the development lifecycle
- Collaborate effectively with external partners and suppliers to ensure high-quality deliverables and successful project outcomes
Skills
DockerKubernetes
Degrees
Degree in Software EngineeringDegree in Computer ScienceDegree in Life Sciences
Work schedule
Full-time
Relocation
No