Dynatrace Austria GmbH
Softwareentwickler/in
1100 Wien,Favoriten
Start 03.07.2026
What will help you succeed
Engineering foundation
* Profound professional software engineering experience building and operating production backend systems.
* Strong proficiency in at least one of Java, Go, Python, or TypeScript; able to ramp on a second within a quarter.
* Designed and shipped public-facing or partner-facing APIs (REST and / or gRPC), including versioning, backwards compatibility, and SDK ergonomics.
Hyperscaler depth (at least one)
* Hands-on, production-grade experience with AWS, Azure, or GCP - building against native SDKs, not just deploying to VMs.
* Concrete familiarity with the partner-relevant surface of that cloud:
AWS: Bedrock / AgentCore, Lambda, EKS, CloudWatch, AWS Marketplace, Partner Network (APN).
Azure: Azure OpenAI, AKS, Azure Monitor, SRE Agent, Azure Marketplace, MISA.
GCP: Vertex AI / Gemini, GKE, Cloud Operations, Google Cloud Marketplace, Partner Advantage.
Observability and AI workloads
* Working knowledge of observability primitives: metrics, logs, distributed tracing, OpenTelemetry instrumentation.
* Understanding of how to instrument LLM and agentic-AI workloads: prompt / response capture, token usage, tool-call traces, evaluation signals, latency and cost attribution.
* Comfortable reasoning about SLOs, error budgets, and incident response in customer-facing systems.
MCP and IDE-provider integration
* Practical experience with the Model Context Protocol (MCP) - building MCP servers, clients, or both. Comfortable with stdio and HTTP transports, tool / resource / prompt primitives, auth, and the realities of running MCP in production.
* Built at least one IDE extension, plugin, or integration that real developers used - for VS Code, JetBrains, Cursor, Claude Code, GitHub Copilot, Gemini CLI, Kiro, or similar.
* Understands the AI-assisted developer workflow end-to-end: how agents discover tools, how context windows fill up, how tool outputs get re-ranked, why a well-designed tool schema matters more than a clever prompt.
* Can reason about trade-offs of agent-facing API design vs. human-facing API design (token cost, determinism, error surfacing, idempotency).
Why you will love being a Dynatracer
* 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.
Compensation and Rewards
* 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 €61,000 up to €92,000 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.
Apply now: https://www.dynatrace.com/careers/jobs/1400274500/
Engineering foundation
* Profound professional software engineering experience building and operating production backend systems.
* Strong proficiency in at least one of Java, Go, Python, or TypeScript; able to ramp on a second within a quarter.
* Designed and shipped public-facing or partner-facing APIs (REST and / or gRPC), including versioning, backwards compatibility, and SDK ergonomics.
Hyperscaler depth (at least one)
* Hands-on, production-grade experience with AWS, Azure, or GCP - building against native SDKs, not just deploying to VMs.
* Concrete familiarity with the partner-relevant surface of that cloud:
AWS: Bedrock / AgentCore, Lambda, EKS, CloudWatch, AWS Marketplace, Partner Network (APN).
Azure: Azure OpenAI, AKS, Azure Monitor, SRE Agent, Azure Marketplace, MISA.
GCP: Vertex AI / Gemini, GKE, Cloud Operations, Google Cloud Marketplace, Partner Advantage.
Observability and AI workloads
* Working knowledge of observability primitives: metrics, logs, distributed tracing, OpenTelemetry instrumentation.
* Understanding of how to instrument LLM and agentic-AI workloads: prompt / response capture, token usage, tool-call traces, evaluation signals, latency and cost attribution.
* Comfortable reasoning about SLOs, error budgets, and incident response in customer-facing systems.
MCP and IDE-provider integration
* Practical experience with the Model Context Protocol (MCP) - building MCP servers, clients, or both. Comfortable with stdio and HTTP transports, tool / resource / prompt primitives, auth, and the realities of running MCP in production.
* Built at least one IDE extension, plugin, or integration that real developers used - for VS Code, JetBrains, Cursor, Claude Code, GitHub Copilot, Gemini CLI, Kiro, or similar.
* Understands the AI-assisted developer workflow end-to-end: how agents discover tools, how context windows fill up, how tool outputs get re-ranked, why a well-designed tool schema matters more than a clever prompt.
* Can reason about trade-offs of agent-facing API design vs. human-facing API design (token cost, determinism, error surfacing, idempotency).
Why you will love being a Dynatracer
* 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.
Compensation and Rewards
* 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 €61,000 up to €92,000 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.
Apply now: https://www.dynatrace.com/careers/jobs/1400274500/
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