About the company
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.
Responsibilities
- Develop deep technical expertise and continuously learn as the product evolves.
- Investigate complex escalations, lead high-stakes technical calls, and drive solutions for our most critical customer challenges with urgency and precision.
- Run engaging office hours, deliver impactful learning sessions, and mentor the Global Support Engineering team (GSE), ensuring they’re equipped to handle any challenge.
- Partner with Engineering and Product to proactively identify gaps, drive improvements, and advocate for customers in shaping the evolution of our platform.
- Become the go-to expert on Database Monitoring at Datadog, mastering both the technical landscape and the customer experience.
- Act as a technical stakeholder for our database Agent integrations (Postgres, MySQL, SQL Server), advocating for customer needs with Product and Engineering and proposing changes to code, telemetry, and docs.
- Develop robust internal runbooks, public-facing solutions, and reusable debugging frameworks to scale knowledge and increase Technical Support Engineering autonomy.
- Shape readiness plans for upcoming DBM product releases, ensuring Solutions teams worldwide are confident and technically prepared.
Requirements
- A self-driven problem solver with an obsession for excellence and continuous learning.
- A strategic thinker who defaults to a client-centric approach, proactively identifying opportunities to enhance customer experience while balancing technical feasibility.
- An independent, fast learner, capable of picking up new technologies, adapting to evolving priorities, and crafting innovative solutions to complex technical issues.
- A collaborator and mentor, who enjoys sharing knowledge, raising the technical bar for the team, and contributing to a culture of excellence.
- A power user of the Datadog Agent and its integrations, with experience debugging advanced configuration and performance issues.
- Able to dive into the Agent and Integration codebases (primarily Python), interpret logic paths, and assess behavior in edge-case customer environments.
- Confident recreating a wide variety of customer environments across cloud-hosted (RDS, Azure, CloudSQL) and self-hosted databases, as well as across different deployment contexts (Linux, Windows, K8s, Docker).
- Obsessed with root cause analysis and enjoy working on open-ended problems that require systems thinking, experimentation, and perseverance.
- A cross-functional collaborator who thrives on teaching others, scaling knowledge, and making complex things approachable.
Conditions
- Generous and competitive benefits
- New hire stock equity (RSUs) and employee stock purchase plan
- Continuous career development and pathing opportunities
- Product training to develop an in-depth understanding of our product and space
- Best in breed onboarding
- Internal mentor and buddy program cross-departmentally
- Friendly and inclusive workplace culture