Principal Software Engineer (m/f/x) - Hyperscaler & Strategic Partner Integrations (AI)

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, Anthropic, GitHub, and Cursor.
The work is shipping code - APIs, agents, integrations, MCP servers, IDE extensions, telemetry pipelines - with partner engineers in the room.

What you will do

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Design and build integrations between Dynatrace and hyperscaler AI / observability services

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Build and maintain Dynatrace's Model Context Protocol (MCP) servers so AI assistants and agents can query problems, traces, logs, and Dynatrace Intelligence insights as first-class tools - and contribute upstream to the MCP spec where it matters.

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Co-develop with IDE providers (Anthropic / Claude Code, GitHub Copilot, JetBrains AI, Cursor, Windsurf, AWS Kiro, Gemini CLI) so Dynatrace observability shows up where developers already work - plugins, extensions, slash commands, MCP integrations.

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Co-develop with partner engineering teams at AWS, Microsoft, Google, and IDE vendors - joint design docs, shared backlogs, paired debugging across org boundaries.

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Extend Dynatrace's OneAgent and OpenTelemetry pipelines to capture traces, metrics, and evaluations from agentic AI workloads (tool calls, prompt chains, model latency, hallucination signals).

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Contribute to launch-partner integrations - being one of the first observability providers shipping against a new hyperscaler or IDE-vendor service requires fast iteration against pre-GA APIs.

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Own a slice of the partner-facing SDK, MCP server, or IDE-extension surface end-to-end: code, tests, docs, marketplace listing, on-call.

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Represent Dynatrace engineering in technical reviews with partners; translate Dynatrace Intelligence and causal-AI capabilities into terms partner engineers care about.