Job Description
Most AI developer tools operate without any knowledge of how software actually behaves in production. Dynatrace is in a unique position to change that.
We're looking for an engineer who lives at the intersection of open standards distributed systems and AI infrastructure. You will own the path that telemetry from AI workloads takes into Dynatrace — from the moment an SDK emits a span in a customer's LLM application through ingest validation and into the data model that powers our AI observability product.
This role sits inside Dynatrace's Engineering organization and works closely with product design and the platform teams that power Dynatrace's AI-observability stack.
Your responsibilities:
- Own OpenTelemetry ingest for AI workloads. Build and maintain the ingest path for OpenTelemetry traces metrics and logs emitted by GenAI applications agents and frameworks. Ensure it is robust performant and faithful to the spec.
- Test and support integrations across the AI SDLC. Validate that popular AI SDKs frameworks and agent runtimes produce telemetry that flows cleanly into Dynatrace. Close the gaps you find — in our ingest in upstream instrumentation or in the spec itself.
- Partner with the OneAgent team to align auto-instrumentation context propagation and runtime data collection for AI workloads so customers get a coherent experience whether they instrument manually or rely on OneAgent.
- Push GenAI semantic conventions forward across the industry by representing Dynatrace in the OpenTelemetry GenAI SIG. Propose review and drive consensus on semantic conventions for LLM calls agents tool use evaluations and emerging patterns. Help define what "good" AI telemetry looks like — and make sure the standard reflects real production needs.
- Prototype quickly run user feedback cycles and ship to production
- Collaborate with product and design to identify which developer problems are most worth solving.
- Define technical strategy for the team's AI systems set architectural direction and mentor other engineers.
- 5+ years (Senior) of professional software engineering experience
- Demonstrated experience shipping production systems that use LLMs including prompting tool calling evaluation and iteration
- Strong foundation in at least one of: developer tooling (IDEs compilers static analysis code intelligence) AI/ML engineering or large-scale distributed systems
- Hands-on experience with agentic patterns: planning tool use retrieval memory management
- Hands-on experience with LLMs: prompt engineering evaluation frameworks (e.g. LLM-as-a-judge golden datasets pairwise comparisons) or agent frameworks.
- Ability to evaluate and critique AI-generated output. You understand when a model is wrong not just that it is.
- Clear communication with cross-functional partners across product and engineering
- Dynatrace is a leader in unified observability and security.
- We provide a culture of excellence with competitive compensation packages designed to recognize and reward performance.
- Our employees work with the largest cloud providers including AWS Microsoft and Google Cloud and other leading partners worldwide to create strategic alliances.
- You'll get to work at the forefront of innovation with Dynatrace Intelligence—the industry's first agentic operations system. Bringing together deterministic and agentic AI it helps teams understand what's happening why it matters and what to do next— automatically.
- Over 50% of the Fortune 100 companies are current customers of Dynatrace.
- We offer attractive compensation packages and stock purchase options with numerous benefits and advantages.
- Due to legal reasons we are obliged to list a salary range for this position which is €61000 up to €92000 gross per year based on full-time employment (38.5 h/week). We’ve listed the salary range for transparency but if your experience and skills bring unique value we’d still love to hear from you—please apply even if you’re outside the range.
Dynatrace provides equal employment opportunities to all employees and applicants without regard to race color religion gender gender identity or expression sexual orientation national origin genetics disability age veteran status or any other protected characteristic. We actively foster an inclusive workplace that celebrates differences and promotes accessibility collaboration and growth for all.
Skills Required
- 5+ years of professional software engineering experience
- Experience shipping production systems that use LLMs (prompting tool calling evaluation iteration)
- Strong foundation in developer tooling AI/ML engineering or large-scale distributed systems
- Hands-on experience with agentic patterns (planning tool use retrieval memory management)
- Hands-on experience with LLMs: prompt engineering evaluation frameworks or agent frameworks
- Ability to evaluate and critique AI-generated output
- Clear communication with cross-functional product and engineering partners
What the Team is Saying





What We Do
Dynatrace lets customers understand their business like never before so they can see beyond the complexity find and fix problems faster and automate manual tasks with Al — so they can focus on what truly matters: running their business.
Why Work With Us
In a world that runs on software our Al-driven insights cut through the noise allowing you to focus on what truly matters by automating manual tasks and resolving issues with pinpoint accuracy. Our culture fueled by curiosity openness and authenticity drives our pursuit of innovation and excellence in crafting the Dynatrace platform.
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Employees engage in a combination of remote and on-site work.
Majority of roles are hybrid with flexibility. Please speak with our recruiting team for specific details on hybrid work.

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Date Posted
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