[Remote] Senior Software Engineer (m/f/x) - Hyperscaler & Strategic Partner Integrations (AI)

Note: The job is a remote job and is open to candidates in USA. Dynatrace is a leader in unified observability and security, seeking a Senior Software Engineer to build integrations between their platform and hyperscaler AI services. The role involves designing and developing product code, collaborating closely with partner engineering teams, and contributing to the Model Context Protocol for enhanced observability.

Responsibilities

• Design and build integrations between Dynatrace and hyperscaler AI / observability services
• Build and maintain Dynatrace's Model Context Protocol (MCP) servers so AI assistants and agents can query problems, traces, logs, and Davis insights as first-class tools — and contribute upstream to the MCP spec where it matters
• 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
• Co-develop with partner engineering teams at AWS, Microsoft, Google, and IDE vendors — joint design docs, shared backlogs, paired debugging across org boundaries
• 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)
• 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
• Own a slice of the partner-facing SDK, MCP server, or IDE-extension surface end-to-end: code, tests, docs, marketplace listing, on-call
• Represent Dynatrace engineering in technical reviews with partners; translate Dynatrace's Davis AI and causal-AI capabilities into terms partner engineers care about
• Mentor other engineers and raise the bar on how the team works across org boundaries

Skills

• 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
• 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
• 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
• 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)

Benefits

• Stock purchase options
• Numerous benefits and advantages

Company Overview

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