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Jobs/New York City/Staff Software Engineer - Logs Observability Pipelines
New York City, NY

Staff Software Engineer - Logs Observability Pipelines

Datadog is seeking a Staff Software Engineer to help shape the future of our Bring Your Own Cloud (BYOC) Logs offering by unifying observability pipelines and on-prem log management into a seamless customer experience. This role will focus on building and scaling systems that process, route, and store high-volume obser

Company
Datadog
Compensation
Not listed
Schedule
Full-Time
Role overview

What this role actually needs.

Datadog is seeking a Staff Software Engineer to help shape the future of our Bring Your Own Cloud (BYOC) Logs offering by unifying observability pipelines and on-prem log management into a seamless customer experience. This role will focus on building and scaling systems that process, route, and store high-volume obser Responsibilities: - Drive the architecture and technical direction for unifying observability pipelines and on-prem observability storage into a cohesive BYOC Logs experience - Build and scale high-throughput systems for log processing, routing, and transformation across distributed environments - Lead cross-team initiatives, aligning engineers, product managers, and stakeholders to deliver complex, multi-team projects - Design and implement software that runs reliably within customer-managed infrastructure, including on-prem and cloud environments - Improve system performance, scalability, and cost efficiency through thoughtful trade-off analysis and capacity planning - Contribute hands-on to critical code paths, debugging, and deployment challenges in customer environments Requirements: - Generous and competitive benefits package - New hire stock equity (RSUs) and employee stock purchase plan - Continuous career development and pathing opportunities - Employee-focused best in class onboarding - Internal mentor and cross-departmental buddy program - Friendly and inclusive workplace culture Benefits: - Generous and competitive benefits package - New hire stock equity (RSUs) and employee stock purchase plan - Continuous career development and pathing opportunities - Employee-focused best in class onboarding - Internal mentor and cross-departmental buddy program - Friendly and inclusive workplace culture Company context: Datadog operates a cloud observability and security platform with meaningful hiring across infrastructure, security, AI, and developer tooling.

Responsibilities

Day-to-day expectations

Datadog lists these responsibilities for the Staff Software Engineer - Logs Observability Pipelines role.

  • Drive the architecture and technical direction for unifying observability pipelines and on-prem observability storage into a cohesive BYOC Logs experience
  • Build and scale high-throughput systems for log processing, routing, and transformation across distributed environments
  • Lead cross-team initiatives, aligning engineers, product managers, and stakeholders to deliver complex, multi-team projects
  • Design and implement software that runs reliably within customer-managed infrastructure, including on-prem and cloud environments
  • Improve system performance, scalability, and cost efficiency through thoughtful trade-off analysis and capacity planning
  • Contribute hands-on to critical code paths, debugging, and deployment challenges in customer environments
Requirements

What a strong candidate brings

These requirements are extracted from the source listing and normalized for UpJobz readers.

  • Generous and competitive benefits package
  • New hire stock equity (RSUs) and employee stock purchase plan
  • Continuous career development and pathing opportunities
  • Employee-focused best in class onboarding
  • Internal mentor and cross-departmental buddy program
  • Friendly and inclusive workplace culture
Benefits

Why people would want this job

Datadog published these compensation, benefits, or working-context details with the role.

  • Generous and competitive benefits package
  • New hire stock equity (RSUs) and employee stock purchase plan
  • Continuous career development and pathing opportunities
  • Employee-focused best in class onboarding
  • Internal mentor and cross-departmental buddy program
  • Friendly and inclusive workplace culture
UpJobz market context

Why this listing is more than a copied job post.

Staff Software Engineer - Logs Observability Pipelines is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.

United States tech market

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Compensation read

The employer source does not expose a reliable salary range, so candidates should ask for compensation early instead of waiting until late-stage interviews.

Work authorization read

Current extracted signal: United States residents. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.

Location read

On-site roles in New York City should be compared against commute, local salary bands, and nearby employer demand.

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Next moves

  • Tailor your resume around ai and llm instead of sending a generic application.
  • Use the first two bullets of your application to connect your background directly to staff software engineer - logs observability pipelines is a high-signal on-site role in new york city, and it is most realistic for united states residents.
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Interview themes

Cloud and DevOpsOn-siteaillmkubernetesaws

Watchouts

  • Compensation is hidden, so get range clarity in the first recruiter conversation.
  • Use united states residents as part of your positioning so the recruiter does not have to infer it.
  • Show concrete examples of succeeding in on-site environments.
Role signals

Keywords to match against your background

Use these terms to decide whether your resume, portfolio, and recent projects line up with the role.

aillmkubernetesawsgcpazuresecurityproductuxplatformobservabilitycloud
Next step

Apply through the employer source

Open the source listing from careers.datadoghq.com, confirm the role is still active, then apply on the employer or ATS page.

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Source: careers.datadoghq.com Β· Source ID: 7743369 Β· Confidence: 93/100 Β· Last checked: May 7, 2026

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