1 day ago
Boston, MA, USA or New York, NY, USAMid Level
H1B Sponsor
Base Salary
$85k - $113k/yr
Responsibilities
- Develop deep technical expertise in Datadog products and continuously learn as the platform evolves.
- Investigate complex escalations and lead high-stakes technical calls for critical customer challenges.
- Troubleshoot log ingestion, parsing, routing, indexing, retention, facets, storage, rehydration, filters, and quotas.
- Run office hours and learning sessions and mentor the Global Support Engineering team.
- Partner with Engineering and Product to identify gaps, drive improvements, and advocate for customers.
- Build internal diagnostic tools, reusable troubleshooting flows, and technical guides for TSEs and customers.
Requirements
- Experience troubleshooting parsing failures, dropped logs, incorrect facets, pipeline routing problems, and noisy ingestion.
- Comfort working with GROK, JSON, custom log parsers, filters, remappers, and processors.
- Familiarity with log-based monitors, Live Tail, cold storage, rehydration, exclusion filters, and quotas.
- Strong analytical, problem-solving, customer engagement, collaboration, mentoring, and continuous-learning skills.
- Computer Science or Engineering major is a bonus qualification.
- Experience using Zendesk, Jira, Confluence, or similar software is a bonus qualification.
Benefits
- Hybrid workplace arrangement.
- Competitive US benefits, including healthcare, dental, parental planning, mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.
- New-hire stock equity through RSUs and an employee stock purchase plan.
- Continuous career development, product training, and career pathing opportunities.
- Best-in-breed onboarding and an internal mentor and buddy program.
- Friendly and inclusive workplace culture.
Tech Stack
Datadog
Categories
Solutions Engineering
About Datadog
Datadog is the essential monitoring platform for cloud applications. We bring together data from servers, containers, databases, and third-party services to make your stack entirely observable. These capabilities help DevOps teams avoid downtime, resolve performance issues, and ensure customers are getting the best user experience.