Technical Escalations Engineer 2 (Logs) - US-East

DataDog
Boston, New York
Workplace: HybridFull timeUSD 85,000 - 124,000 annuallyFunction: Administration & Executive AssistanceSkills: ["Problem-solving","Continuous learning","Client-centric mindset","Collaboration","Mentoring"]

Investigate high-stakes technical escalations for Datadog Logs, lead urgent troubleshooting calls, and drive solutions for critical customer issues. Partner with Engineering and Product to identify platform gaps and advocate for customers as observability evolves. Serve as the Logs go-to expert, build internal diagnostic tools and guides, and mentor the Global Support Engineering team through office hours, learning sessions, and knowledge sharing.

This position is no longer accepting applications.

  • See live roles at DataDog
  • Search all live jobs
  • Browse companies, collections, and locations hiring now
Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa

This position is no longer accepting applications.

See live roles at DataDogSearch all live jobsBrowse companies, collections, and locations hiring now

DataDog
DataDog
1 month ago

Technical Escalations Engineer 2 (Logs) - US-East

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Closed

Job Summary

Investigate high-stakes technical escalations for Datadog Logs, lead urgent troubleshooting calls, and drive solutions for critical customer issues. Partner with Engineering and Product to identify platform gaps and advocate for customers as observability evolves. Serve as the Logs go-to expert, build internal diagnostic tools and guides, and mentor the Global Support Engineering team through office hours, learning sessions, and knowledge sharing.
Location: Boston, New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Mid level

Key Responsibilities

  • •Develop deep technical expertise and continuously learn as the product evolves.
  • •Investigate complex escalations and lead high-stakes technical calls to resolve critical customer challenges.
  • •Run office hours and deliver learning sessions while mentoring the Global Support Engineering team.
  • •Partner with Engineering and Product to identify platform gaps, drive improvements, and advocate for customers.
  • •Own Datadog Logs expertise and lead escalations involving missing logs, parsing discrepancies, pipeline misconfigurations, and retention/indexing behavior.

Pay and Benefits

Salary: USD 85,000 - 124,000 annually
Perks:Health InsuranceDental401kPaid LeaveRsusEquityRemote WorkGym Membership

Key Requirements

  • •Troubleshoot common log issues such as parsing failures, dropped logs, incorrect facets, pipeline routing problems, and noisy ingestion.
  • •Work comfortably with GROK, JSON, and custom log parsers, including understanding filters, remappers, and processors.
  • •Navigate log-based monitors and workflows including Live Tail, cold storage, rehydration, and usage controls like exclusion filters and quotas.
  • •Demonstrate strong analytical skills to identify root causes in intricate pipelines and guide customers to optimized, cost-effective solutions.
  • •Collaborate and mentor—sharing knowledge and raising the technical bar across the team.
Skills:Problem-solvingContinuous learningClient-centric mindsetCollaborationMentoring
Languages:English
Tech Stack:GROKJSONZendeskJiraConfluence

Company Brief

DataDog
Provides a cloud-native monitoring and observability platform that unifies metrics, traces, logs, and security signals to help engineering, operations, and security teams monitor and troubleshoot modern applications and infrastructure.
Industry: Developer Tools
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York, United States
Founded: 2010
Glassdoor
Glassdoor: 4.1
WebsiteLinkedIn