Senior Systems Engineer Technical Solutions (US-East)

Datadog’s Technical Solutions organization includes 1200+ 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.

What You’ll Do:

• Own enterprise systems through their full lifecycle. You’ll be the technical owner for one or more platforms that TS relies on daily. That means understanding how the system is used where it’s falling short what’s coming from the vendor roadmap and what needs to change. You drive improvements from assessment through implementation.

• Engineer solutions that create leverage. Not every problem is solved by configuration. You’ll build and evolve enterprise systems integrations automations and internal tools that multiply the effectiveness of 1200+ technical experts. Where AI can make a solution smarter (e.g. intelligent routing automated triage agent-assisted workflows) you'll include AI in the initial design not as an afterthought.

• 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. 

Who You Are:

• 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 and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

What We Do

Datadog (NASDAQ: DDOG) is a global SaaS business delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation cloud migration and infrastructure monitoring of our customers' entire technology stacks. Built by engineers for engineers Datadog is used by organizations of all sizes across a wide range of industries. Together we champion professional development diversity of thought innovation and work excellence to empower continuous growth. Join the pack and become part of a collaborative pragmatic and thoughtful people-first community where we solve tough problems take smart risks and celebrate one another.

Why Work With Us

At Datadog we learn from and celebrate each other daily - each win is a team win. Datadogs solve tough problems innovate pragmatically and grow together. We promote from within provide mentorship and opportunities for career development and support our colleagues in the process. Best of all? We truly love what we do.

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