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Bring more to life. At Danaher, our work saves lives. And each of us plays a part. Fueled by our culture of continuous improvement, we turn ideas into impact innovating at the speed of life. Our 60,000+ associates work across the globe at more than 15 unique businesses within life sciences, diagnostics, and biotechnology. Are you ready to accelerate your potential and make a real difference At Danaher, you can build an incredible career at a leading science and technology company, where were committed to hiring and developing from within. Youll thrive in a culture of belonging where you and your unique viewpoint matter. Learn about the Danaher Business System which makes everything possible. This position reports to the Global Lead, Identity Security and is part of the enterprise-wide Danaher Information Security (DIS) in Pune/Bangalore and will be an onsite role. In This Role, You Will Have The Opportunity To Engineer security controls for the LLM/AI stack: model access controls, prompt handling, RAG pipelines, tool/agent permissions, output filtering, logging, guardrails, and AI DLP. Build automation (Python, SOAR) for detection, triage, remediation, and control evidence with human oversight, test harnesses, and rollback. Contribute to AI-security reference patterns; evaluate model/data supply-chain risk. Support the sustainability model: automation runbooks, auditability, and control-evidence pipelines. The Essential Requirements Of The Job Include Bachelor's degree in Cybersecurity, Computer Science, Software/AI Engineering, or related field. 8+ years in security engineering, application/cloud security, or DevSecOps, including experience building or securing AI/ML or LLM-based systems. Hands-on experience securing the LLM/AI application stack: prompt handling, RAG pipelines, tool/agent permissions, output filtering, guardrails, or AI DLP. Proficiency in Python for building security automation and integrations (including SIEM/SOAR). Working knowledge of AI-security frameworks such as OWASP LLM Top 10, NIST AI RMF, MITRE ATLAS, or EU AI Act technical requirements. It would be a plus if you also possess previous experience in: Experience red-teaming or evaluating LLM/agentic-AI applications (e.g., promptfoo, garak, PyRIT). GIAC GMLE / GIAC AI-ML Security, or a cloud AI/security certification (Microsoft, AWS, or GCP). Experience with MLOps/CI-CD security integration. Join our winning team today. Together, well accelerate the real-life impact of tomorrows science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit www.danaher.com. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.