Senior Systems Engineer, Technical Solutions (US-East)
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Role details
Tech stack
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Job 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 youâll 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. Youâll partner with TS leaders to understand whatâs slowing their teams down, then engineer the fix. The best solutions arenât always the most technically complex. Theyâre 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
Do you have experience in Zendesk?, * 3-5 years of experience with enterprise platforms and production software. Youâve administered, extended, or integrated systems like Salesforce, Zendesk, Jira, or similar. Youâve also built software that real users depend on (web services, APIs, data pipelines, or applications).
- Strong in Python, Go, or JavaScript/TypeScript. Bonus if youâre a polyglot. Youâll 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. Youâve 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
Benefits & conditions
Pulled from the full job description
- Employee stock purchase plan
- Health insurance
- 401(k) matching
- Paid time off
- Employee discount
- Dental insurance
- RSU, * 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. Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidateâs skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $110,000-$160,000 USD
About the company
Datadogâs 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 (âTSOâ) 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.
Weâre 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 thatâs 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 Youâll Do:
- Own enterprise systems through their full lifecycle. Youâll be the technical owner for one or more platforms that TS relies on daily. That means understanding how the system is used, where itâs falling short, whatâs 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. Youâll build and evolve enterprise systems, integrations, automations, and internal tools that multiply the effectiveness of 1,200+ technical experts. Where AI can make a solution smarter (e.g., intelligent routing, automated triage, agent-assisted workflows), youâll include AI in the initial design, not as an afterthought., Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
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