[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.ResponsibilitiesDesign and build integrations between Dynatrace and hyperscaler AI / observability servicesBuild 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 mattersCo-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 integrationsCo-develop with partner engineering teams at AWS, Microsoft, Google, and IDE vendors — joint design docs, shared backlogs, paired debugging across org boundariesExtend 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 APIsOwn a slice of the partner-facing SDK, MCP server, or IDE-extension surface end-to-end: code, tests, docs, marketplace listing, on-callRepresent Dynatrace engineering in technical reviews with partners; translate Dynatrace's Davis AI and causal-AI capabilities into terms partner engineers care aboutMentor other engineers and raise the bar on how the team works across org boundariesSkills5+ years of professional software engineering experience building and operating production backend systemsStrong proficiency in at least one of Java, Go, Python, or TypeScript; able to ramp on a second within a quarterDesigned and shipped public-facing or partner-facing APIs (REST and / or gRPC), including versioning, backwards compatibility, and SDK ergonomicsHands-on, production-grade experience with AWS, Azure, or GCP — building against native SDKs, not just deploying to VMsConcrete 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 AdvantageWorking knowledge of observability primitives: metrics, logs, distributed tracing, OpenTelemetry instrumentationUnderstanding of how to instrument LLM and agentic-AI workloads: prompt / response capture, token usage, tool-call traces, evaluation signals, latency and cost attributionComfortable reasoning about SLOs, error budgets, and incident response in customer-facing systemsPractical 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 productionBuilt 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 similarUnderstands 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 promptCan reason about trade-offs of agent-facing API design vs. human-facing API design (token cost, determinism, error surfacing, idempotency)BenefitsStock purchase optionsNumerous benefits and advantagesCompany OverviewDynatrace delivers answers and intelligent automation from data. It was founded in 2005, and is headquartered in Waltham, Massachusetts, USA, with a workforce of 5001-10000 employees. Its website is https://www.dynatrace.com.Company H1B SponsorshipDynatrace has a track record of offering H1B sponsorships, with 1 in 2026, 14 in 2025, 25 in 2024, 15 in 2023, 23 in 2022, 23 in 2021, 8 in 2020. Please note that this does not guarantee sponsorship for this specific role.