Engineering Manager I - APM Ecosystems, Integrations & Data Modeling (IDM)

Posted:
8/22/2024, 11:10:29 PM

Location(s):
Paris, Ile-de-France, France ⋅ Ile-de-France, France

Experience Level(s):
Mid Level ⋅ Senior

Field(s):
Software Engineering

Workplace Type:
Hybrid

We are looking for an experienced Engineering Manager to lead one of our APM Integrations & Data Modeling (IDM) teams. The IDM group is responsible for driving our APM business through development of new integrations and features for richer data collection within our open-source APM SDKs. The group comprises engineers with expertise in multiple languages (we currently have SDKs for 8 languages - Python, Ruby, Go, Node, Java, .NET, C++, PHP) and is spread across the US and Europe.

Our product traces requests across distributed components, including microservices, databases, queues, and caches, to enable accurate and comprehensive health and performance monitoring for applications across all scales and complexity, with minimum overhead.

As an Engineering Manager, you will guide one of the teams within IDM to extend our instrumentation functionalities and to build new features for improved application monitoring. You will oversee the collaboration across products to support new initiatives and to design new primitives in our libraries to enhance Datadog’s application data collection.

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

 

What You’ll Do:

  • Recruit, manage, and grow a remote team of 5+ talented engineers, ensuring they deliver high quality, timely work, and that they’re happy, motivated, and growing.
  • Guide the team’s technical design and architecture decisions as we build new features across multiple languages. This might mean reviewing an RFC or discussing areas where they want to grow or have gaps, and supporting them in developing those skills.
  • Contribute to our SDKs – adding cutting-edge functionality and debugging tricky problems and help us continue to raise the bar on the quality of our code and the stability of our SDKs.
  • Work with the product team and other stakeholders to flesh out the future of the product.
  • Work with other managers in the US and in Europe to deliver cross-cutting projects
  • Drive our open source projects and engage with the different languages communities to find and address the most important challenges; in observability, we work directly with growing communities such as OpenTelemetry
  • Contribute to shape the future of the engineering organization

Who You Are:

  • You have previously managed a team of 5 or more ICs
  • You are comfortable managing remote teams in different timezones
  • You have a proven track record of understanding the performance of large-scale services
  • You are data driven and have excellent analytical skills
  • You have significant experience in at least one of the following languages: Python, Java, Go, .NET, Ruby, Node, C++ or PHP

Bonus Points:

  • You have significant experience in using profilers, debuggers, tracers, or similar tools to improve the code quality of the software you were writing
  • You’ve built a non-trivial application from scratch that sees significant user traffic
  • You have experience with observability products
  • You have experience with distributed systems

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 and Growth:

  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  • Continuous professional development, product training, and career pathing
  • Intradepartmental mentor and buddy program for in-house networking
  • An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
  • Access to Inclusion Talks, our Internal panel discussions
  • Free, global mental health benefits for employees and dependents age 6+
  • Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.


About Datadog: 

Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.


Equal Opportunity at Datadog:

Datadog is an Affirmative Action and Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

Your Privacy:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice.

Datadog

Website: https://www.datadoghq.com/

Headquarter Location: New York, New York, United States

Employee Count: 1001-5000

Year Founded: 2010

IPO Status: Public

Last Funding Type: Post-IPO Debt

Industries: Analytics ⋅ Cloud Computing ⋅ Cloud Data Services ⋅ Cloud Infrastructure ⋅ Data Management ⋅ DevOps ⋅ Productivity Tools ⋅ SaaS