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Datadog

Manager II, Engineering - Datadog Agent SDLC

  • Hybrid
  • 6+ years

Salary

$244,000 - 305,000/ year

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Description

The Datadog Agent is our flagship open-source project and a critical part of how customers experience Datadog, with hundreds of engineers contributing annually across multiple languages and platforms. As Manager II, Engineering for Datadog Agent SDLC, you will lead the systems, tooling, and developer experience that enable engineers to build, test, secure, and ship software that runs in customer environments. You will guide the evolution of our software development lifecycle as AI coding tools reshape how software is developed, while strengthening our approach to software supply-chain security, build infrastructure, correctness, and performance. This is an opportunity to shape engineering practices for the Agent and establish patterns that can influence other open-source projects across Datadog.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

Responsibilities

  • Lead the engineering teams responsible for the Agent developer experience, build systems, correctness, and performance benchmarking platforms
  • Own software supply-chain security for a public repository that ships into customer infrastructure - provenance, signing, dependency and contribution review, and the new risks coding agents introduce
  • Evolve the Agent software development lifecycle to support hundreds of contributors while improving developer velocity, reliability, and security
  • Drive AI coding enablement across the Agent ecosystem, adapting development workflows and infrastructure as engineers increasingly work alongside coding agents
  • Guide the evolution of build infrastructure for a complex, multi-language, multi-platform codebase, including the continued adoption and development of modern build systems
  • Hire, mentor, and develop engineering managers and staff engineers across multiple geographies

Requirements

  • An engineering leader with experience owning software development lifecycle systems and developer infrastructure
  • First-hand experience with AI coding tools and flows, excited by the opportunities and mindful of challenges created by AI-assisted software development
  • Curious about the art of proving software correct: deterministic simulation testing, fault injection, property-based testing, continuous performance benchmarking
  • Familiar with complex multi-language development environments, CI/CD, remote build execution and caching; experience with Bazel or similar build systems is a plus
  • Experienced leading multiple teams through technical and organizational change while balancing roadmap velocity, reliability, security, and long-term platform investments
  • A proven track record scaling exceptional engineering teams: hiring, coaching, performance management, and building appropriate team structures globally
  • Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits

  • High income earning opportunities based on self performance
  • New hire stock equity (RSU) and employee stock purchase plan (ESPP)
  • Continuous professional development, product training, and career pathing
  • Product training to develop an in-depth understanding of our product and space
  • Intra-departmental mentor and buddy program for in-house networking
  • An inclusive company culture, opportunity to join our Community Guilds
  • Generous global benefits
  • Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
  • LI-Hybrid
  • Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.
  • The reasonably estimated yearly salary for this role at Datadog is:
  • $244,000 - $305,000 USD
  • About Datadog:
  • 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. It brings applications, infrastructure, data, models, and security into one place, 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. Learn more about DatadogLife on Instagram , LinkedIn, and Datadog Learning Center.

Where you’d work

Part of the week in the office

You can work from

  • United States

About the company

Datadog

  • Industry: SaaS

Offices in Boston, United States, New York, United States

Also hiring in Madrid, Spain, Sydney, Australia, Paris, France and 6 more places

7 of their 49 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 21 checks run
  • 4 red flags

Still hiring?

14 checks

1 red flag

How crowded?

7 checks

3 red flags

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Details13 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • CI/CD
Seniority
Lead
Type
Full-time
Equity
Equity offered
Industry
SaaS
Region
United States
Show 7 more factsShow less

Role

Category
Development
Seniority
Lead
Experience
6+ years
Tech stack
  • CI/CD

Location

Work model
Hybrid
Region
United States
Offices
  • Boston, United States
  • New York, United States
Remote from
  • United States

Compensation

Salary
$244,000 - 305,000 / year
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

Company

Industry
SaaS

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