Engineering Manager (Verification)

Bring more to life.

Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?

At SCIEX, one of Danaher’s 15+ operating companies, our work saves lives—and we’re all united by a shared commitment to innovate for tangible impact.

You’ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher’s system of continuous improvement, you help turn ideas into impact – innovating at the speed of life.

As part of SCIEX, you will help to influence life changing research and outcomes, while accelerating your potential. For more than 50 years, we have been empowering our customers to solve the most impactful analytical challenges in quantitation and characterization through ground-breaking innovation and outstanding reliability and support. You will be part of a winning team, enabled by DBS, that is passionate about helping life science experts around the world get to answers they can trust.

Learn about the Danaher Business System which makes everything possible.

The Engineering Manager is responsible to plan and conduct all levels of verification against our software products within an agile team of designers , developers and testers. The candidate will use the test tools provided and agile processes to assist developers, ensure that the products work as expected and manage the tools, frameworks and verification environments.

This position reports to the Senior Engineering Manager and is part of the Software Department team located in Bangalore and will be an on-site role.

In this role, you will have the opportunity to:

• Lead and scale Verification excellence by building and developing high-performing verification teams, ensuring predictable delivery, exceptional product quality, adherence to SCIEX development processes, and fostering a culture of continuous improvement and accountability.

• Define and drive the organization's Verification, Regression, and Automation strategy by establishing scalable test frameworks, improving automation coverage and efficiency, identifying process gaps, and enabling data-driven quality decisions that accelerate delivery while reducing risk.