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Senior Software Engineer (m/f/x) - Hyperscaler & Strategic Partner Integrations (AI)
Dynatrace
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Linz, Austria
Location
Linz
Posted
June 24, 2026
Commute
Local Area
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Job Description
**Your role at Dynatrace**
Dynatrace's growth is increasingly tied to deep, co-engineered partnerships with the three hyperscalers and with the IDE and AI-tooling vendors developers actually use day-to-day. Recent integrations show that hyperscalers and IDE providers are no longer just deployment targets but co-development partners. The Model Context Protocol (MCP) has become the connective tissue: Dynatrace ships MCP servers so that Claude, Cursor, VS Code, JetBrains, Kiro, and other AI-assisted IDEs can query observability data natively. At the same time, customer workloads are shifting from traditional services to agentic AI systems that need a fundamentally new kind of observability.
This role sits at that intersection. You will build the product code that makes Dynatrace work seamlessly with hyperscaler AI services and with the AI-native IDEs developers use to build on top of them, in close technical collaboration with engineering counterparts at AWS, Microsoft, Google...
Dynatrace's growth is increasingly tied to deep, co-engineered partnerships with the three hyperscalers and with the IDE and AI-tooling vendors developers actually use day-to-day. Recent integrations show that hyperscalers and IDE providers are no longer just deployment targets but co-development partners. The Model Context Protocol (MCP) has become the connective tissue: Dynatrace ships MCP servers so that Claude, Cursor, VS Code, JetBrains, Kiro, and other AI-assisted IDEs can query observability data natively. At the same time, customer workloads are shifting from traditional services to agentic AI systems that need a fundamentally new kind of observability.
This role sits at that intersection. You will build the product code that makes Dynatrace work seamlessly with hyperscaler AI services and with the AI-native IDEs developers use to build on top of them, in close technical collaboration with engineering counterparts at AWS, Microsoft, Google...