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DatadogDatadogNew York, NY

Systems Engineer 2, Technical Solutions

Systems Engineer owning the full lifecycle of enterprise platforms (Zendesk, Jira, Confluence) that power Datadog's Technical Solutions organization. Design, build, and integrate solutions including AI-powered automations and contribute to the core Datadog codebase to improve workflows for 1,200+ technical experts. Requires 3-5 years experience with enterprise systems, full-stack development, and AI tools.

86k – 115k/yr
Hybrid3+ YOESolutions Architecture

About the role

What You’ll Do

  • Own enterprise systems through their full lifecycle: understand usage, identify shortcomings, track vendor roadmaps, and drive improvements from assessment to implementation.
  • Engineer solutions that create leverage: build and evolve enterprise systems, integrations, automations, and internal tools to multiply effectiveness of 1,200+ technical experts. Incorporate AI (e.g., intelligent routing, automated triage, agent-assisted workflows) from initial design.
  • Contribute to the Datadog codebase for TS-specific features (support tooling, in-app experiences), collaborating with Engineering teams.
  • Use AI coding tools daily to ship faster, explore systems, and automate tasks; articulate impact and help teammates adopt them.
  • Solve business problems by partnering with TS leaders to identify bottlenecks and engineer effective, adoptable solutions.
  • Own what you ship: monitor, maintain, iterate on production systems, and diagnose issues proactively.

Who You Are

  • 3-5 years of experience with enterprise platforms and production software: administered, extended, or integrated systems like Salesforce, Zendesk, Jira; built software real users depend on (web services, APIs, data pipelines, applications).
  • Strong in Python, Go, or JavaScript/TypeScript (polyglot a bonus).
  • Ability to work across the stack: build backend services, wire up frontends, design APIs, set up CI/CD.
  • Demonstrated fluency with AI coding tools (Copilot, Claude); experience building AI-powered features with LLMs, embeddings, RAG pipelines, or agent frameworks.
  • Systems thinking: design reliable, maintainable, scalable solutions integrating multiple systems.
  • Experience contributing to large shared codebases with established practices (code review, CI/CD, feature flags, observability).
  • Background in technical support tooling or customer-facing business systems.
  • Experience in high-growth B2B SaaS environment.

Benefits and Growth

  • Best-in-breed onboarding, generous global benefits, intra-departmental mentor and buddy program.
  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP).
  • Continuous professional development, product training, career pathing.
  • Inclusive company culture with Community Guilds and Inclusion Talks.
  • Competitive salary and equity package; may include variable compensation.

Skills

PythonGoJavaScriptTypeScriptSalesforceZendeskJiraLLMsRAGCI/CDAPIsai coding tools
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