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Senior Systems Engineer, Technical Solutions (US-East)

External
Datadog logoDatadog · Boston, MA
Full-timeOn-site1mo ago
CI/CDConfluenceDatadogJavaScriptJiraLLMs
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Responsibilities

  • 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.

Requirements

  • 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
  • Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your experience, we encourage you to apply.
  • Benefits and Growth:
  • Best-in-breed onboarding
  • Generous global benefits
  • Intra-departmental mentor and buddy program for in-house networking
  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  • Continuous professional development, product training, and career pathing
  • An inclusive company culture, able to join our Community Guilds and Inclusion Talks
  • Benefits a

Benefits

Health insuranceEquity / stock optionsPerformance bonus

Additional Information

Datadog's Technical Solutions organization includes 1,200+ sales engineers, support engineers, post-sales experts, and solution architects. They run on an ecosystem of enterprise platforms and internal tools that directly shape how we serve customers. Technical Solutions Operations ("TSO") owns that ecosystem. We manage the full lifecycle of the systems TS depends on: Zendesk, Jira, Confluence, and a growing portfolio of off-the-shelf and purpose-built tools. We do the work to operate, maintain, and evolve the platforms powering daily workflows across TS. When a vendor tool reaches its limits, we extend it through customization, integration, or targeted solution development, tapping internal partners across Datadog as needed. We're looking for a systems engineer who wants to own enterprise platforms end-to-end. You go from understanding the business process, to designing the right solution (whether that's configuration, integration, or code), to measuring whether it actually moved the needle. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.


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