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# Systems Engineer 2, Technical Solutions (US-East)

- **Company:** Datadog
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $86,000.0 - $115,000.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, JIRA, Business Systems, Code Review, Continuous Integration, Python (Programming Language), Salesforce.Com, TypeScript, Web Services, Large Language Models, Multi-Agent Systems, Backend, Front End Software Development, Zendesk, Data Pipelines
- **Published:** July 30, 2026
- **Apply:** https://careers.datadoghq.com/detail/8092973/?gh_jid=8092973

## About the Role

* 3-5 years of experience with enterprise platforms and production software. You’ve administered, extended, or integrated systems like Salesforce, Zendesk, Jira, or similar. You’ve also built software that real users depend on (web services, APIs, data pipelines, or applications).
 * Strong in Python, Go, or JavaScript/TypeScript. Bonus if you're a polyglot. You’ll work in whatever the problem demands.
 * Ability to work across the stack. You can build a backend service, wire up a frontend, design an API, and set up the CI/CD pipeline to ship it.
 * Demonstrated fluency with AI coding tools. You use Copilot, Claude, or similar daily and can articulate how it changes the way you work.
 * Experience building AI-powered features. You’ve worked with LLMs, embeddings, RAG pipelines, or agent frameworks.
 * Systems thinking. You design reliable, maintainable, scalable solutions that integrate with multiple upstream and downstream systems that improve the long-term health of our tech stack.
 * Experience contributing to a large shared codebase with established engineering practices (code review, CI/CD, feature flags, observability)
 * Background in technical support tooling or customer-facing business systems
 * Experience in a high-growth B2B SaaS environment

## Description

* Contribute to the Datadog codebase when the problem calls for it. Some TS-specific features (e.g., support tooling, in-app experiences) ship into the same repos Engineering uses. This work is targeted and partnership-driven, and you’ll collaborate with Engineering teams to build and ship these capabilities.
 * Use AI to work faster and think bigger. AI coding tools are part of your daily workflow. You use them to ship faster, explore unfamiliar systems, and automate the tedious parts of your job. You can articulate how AI changes the way you work and help teammates adopt the same habits.
 * Solve business problems, not just technical ones. You’ll partner with TS leaders to understand what’s slowing their teams down, then engineer the fix. The best solutions aren’t always the most technically complex. They’re the ones that actually get adopted.
 * Own what you ship. Monitor, maintain, and iterate on systems in production. You understand your systems well enough to diagnose issues before anyone else does, from implementation and iteration through optimization and maintenance.


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