Innovation through data and research

Our Data Science and Research teams explore cutting-edge areas like predictive, causal, and generative AI, as well as cloud-native security, distributed data systems, and real-time analytics. From forecasting anomalies to inventing new methods for securing cloud environments, we turn complex challenges into practical solutions. We prototype, publish, contribute to open source, and collaborate with academic and industry leaders—advancing the future of software intelligence.

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Paving the way to autonomous intelligence

Our Data Science and Research teams are building upon our powerful Dynatrace platform that blends causal, predictive, and generative artificial intelligence to enable agentic AI systems that can think, reason and act independently.

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Our focus areas in Data Science

Predictive AI

We provide continuous forecasting and anomaly detection across multidimensional baselines, application traffic, and service load, with full awareness of seasonality and behavioral patterns.

Causal AI

We're analyzing observability and security data in the context of topology, automatically and on demand. We group anomalies, identify root causes, and prioritize issues based on business impact.

Generative AI

We harness predictive and causal AI to generate queries, notebooks, and dashboards that simplify analytics, while also recommending workflows and automations to accelerate decision-making.

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Our focus areas in Research

Cloud-native security

Our research explores methods capable of automatically identifying threats within modern cloud environments.

Distributed data systems

We’re researching and inventing new technologies and algorithms for the next generation of distributed data systems.

Generative AI

We spend time researching generative AI, harnessing the power of large language models.

Real-time analytics

We focus on finding methods for real-time processing and analysis of massive data streams.

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Where do you see yourself?

"As a data scientist, I have an overview of the technical basis the team is working on. I help triage problems, fix them myself, or delegate them. As a PO, I enable the team to work on topics provided by PMs and architects. I look at their requests and vision, break it down into executable items, estimate timelines, and identify value increments."

— Florian

Senior Data Scientist II & Product Owner

Dynatrace Research Lab

Located at Johannes Kepler University in Linz, our lab is a hub to advance application-oriented research in the field of software intelligence. We collaborate to build next-generation technologies that help companies run better, safer, and more innovative software.

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What makes a career special here?

Here are five key things that stand out for our tech team.

People

An open-minded, curious, ambitious team that is powered by autonomy and collaboration.

Challenges

Technical challenges that ignite your growth as a coder, product thinker, and builder.

Well-Being

Our culture, ways of work, benefits, and perks support your well-being.

Flexibility

Navigate your work time in a way that helps you be the most productive.

Impact

Drive technology at scale across private and public sectors globally.

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Benefits and perks

Check out our benefits, like financial rewards, well-being and flexibility, growth and development support, office perks, and much more.

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What's going on in our Engineering teams?

News

91% Dynatracers say Dynatrace is a Great Place To Work®.

Dynatrace was certified in 16 countries thanks to the team who participated in a survey and shared their experience.

article

From vision to impact

Gordon Meyer, Director, AI Product Innovation, shares how Dynatrace is shaping the future of observability in AI and why you'll want to be part of it.

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