Principal AI & MCP Engineer: Hyperscaler Integrations

DynatraceLLC; Linz; On-site; EUR 90,000 - 112,000; Full time

Job summary

Dynatrace is seeking a senior software engineer to design and build integrations with hyperscaler AI services and AI-native IDEs. You will own MCP servers, extend telemetry pipelines, and work closely with AWS, Microsoft, Google, and IDE vendors to ship co-engineered solutions.

You will analyze and implement API surfaces, ensure backwards compatibility, and contribute to MCP specs while mentoring peers across the org.

Qualifications

• 5+ years of 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.

Responsibilities

• Design and build integrations between Dynatrace and hyperscaler AI / observability services.
• Build and maintain MCP servers so AI assistants and agents can query problems, traces, logs, and insights as first-class tools.
• Co-develop with IDE providers so Dynatrace observability shows up where developers already work - plugins, extensions, commands, MCP integrations.
• Co-develop with partner engineering teams at AWS, Microsoft, Google, and IDE vendors - joint design docs and backlogs.
• Extend Dynatrace pipelines to capture traces, metrics, and evaluations from agentic AI workloads.
• Contribute to launch-partner integrations with pre-GA APIs.
• Own a slice of the partner-facing SDK, MCP server, or IDE-extension surface end-to-end.
• Represent Dynatrace engineering in technical reviews with partners.

Skills

Java

Go

Python

TypeScript

API design

REST & gRPC

Tools

MCP servers

VS Code

JetBrains IDEs

GitHub Copilot

Job description

Dynatrace is seeking a senior software engineer to design and build integrations with hyperscaler AI services and AI-native IDEs. You will own MCP servers, extend telemetry pipelines, and work closely with AWS, Microsoft, Google, and IDE vendors to ship co-engineered solutions.

You will analyze and implement API surfaces, ensure backwards compatibility, and contribute to MCP specs while mentoring peers across the org.