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About the Role
Datadog's Technical Solutions Operations (TSO) team manages the full lifecycle of enterprise platforms and internal tools that support over 1,200 sales engineers, support engineers, and solution architects. We are seeking a Systems Engineer to own these enterprise platforms end-to-end, from understanding business processes to designing, implementing, and measuring the impact of solutions.
Responsibilities
- Own enterprise systems through their full lifecycle, including assessment, implementation, and iteration.
- Engineer solutions, integrations, automations, and internal tools to enhance the effectiveness of technical experts.
- Incorporate AI into solution design for smarter outcomes like intelligent routing and automated triage.
- Contribute to the Datadog codebase by building and shipping TS-specific features in collaboration with Engineering teams.
- Utilize AI coding tools daily to increase efficiency, explore systems, and automate tasks.
- Partner with TS leaders to understand and engineer solutions for business challenges.
- Monitor, maintain, and iterate on production systems, diagnosing issues proactively.
Requirements
- 3-5 years of experience with enterprise platforms and production software, including administration, extension, or integration of systems like Salesforce, Zendesk, or Jira.
- Experience building software for real users, such as web services, APIs, data pipelines, or applications.
- Strong proficiency in Python, Go, or JavaScript/TypeScript; polyglot skills are a plus.
- Ability to work across the full stack, including backend services, frontend development, API design, and CI/CD pipeline setup.
- Demonstrated fluency with AI coding tools like Copilot or Claude, and ability to articulate their impact on workflow.
- Experience building AI-powered features using LLMs, embeddings, RAG pipelines, or agent frameworks.
- Systems thinking approach to design reliable, maintainable, and scalable solutions.
- 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.
Skills
- Python
- Go
- JavaScript/TypeScript
- AI coding tools
- LLMs
- Embeddings
- RAG pipelines
- Agent frameworks
- Systems thinking
- CI/CD
- Code review
- Feature flags
- Observability
Location
- Hybrid
Work Type
- Hybrid
Experience Level
- 3-5 years
Salary/Compensations
- $86,000—$115,000 USD
Benefits
- Best-in-breed onboarding
- Generous global benefits
- Intra-departmental mentor and buddy program
- New hire stock equity (RSUs)
- Employee stock purchase plan (ESPP)
- Continuous professional development
- Product training
- Career pathing
- Inclusive company culture
- Community Guilds
- Inclusion Talks
- Healthcare
- Dental
- Parental planning
- Mental health benefits
- 401(k) plan and match
- Paid time off
- Fitness reimbursements
- Discounted employee stock purchase plan
About the Company
- Datadog is the leading observability and security platform for the AI era, providing unified visibility across the technology stack to manage complexity at scale.
- The platform integrates applications, infrastructure, data, models, and security, 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.
Equal Opportunity
- Datadog offers equal employment opportunity 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.
- Datadog considers qualified applicants regardless of criminal histories, consistent with legal requirements.
- Datadog endeavors to make its Careers Page accessible to all users and provides a form for accommodation requests.