The Language Tools team enables hundreds of Datadog backend engineers to build, test, and package secure, quality code. Our success is measured by their productivity and happiness.
They use the tools that we develop and support several times a day; in dev and CI; in diverse Git repositories, from very large polyglot or monoglot repositories (monorepos, sic) to smaller repositories scoped to services or libraries (“micro-repos”); and in various languages, including Go, Python, Java, Rust, and TypeScript. To orchestrate our builds, we use either Bazel or industry standard tools for the language, depending on the repository.
As a manager on the team, you will take ownership of one of our areas of responsibility. The team is growing rapidly, not only following Datadog’s growth, but also taking over repositories and languages that were formerly managed by their users.
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:
- Manage 4 to 7 mostly senior engineers, helping them to achieve our objectives, and developing their careers.
- Contribute to the team effort by writing and reviewing both design documents and code.
- Connect with stakeholders at various levels in the Datadog engineering organization, to understand the needs of developers.
- Make data-driven, risk-aware decisions to solve ambiguous problems, and confirm results. The changes we make impact the velocity of hundreds of engineers.
- Engage with the open source community as needed. For example, influence and/or contribute to the Bazel roadmap, or report issues with Go release candidates.
Who You Are:
- A manager by choice. Our passionate engineers deserve a passionate manager.
- An expert in one or more of the languages or build systems listed above.
- A well-rounded engineer. You must broadly understand the various types of software projects that are built, tested, and packaged with our tools.
- A clear and empathetic communicator. Many people within the Datadog engineering organization are interested in what our team is doing. You must value their diverse opinions, and synthesize plans from them.
- Ideally, you have experience working with a large codebase.
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.
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:
$187,000—$240,000 USD
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.
Top Skills
Datadog Denver, Colorado, USA Office
We’re located in the heart of Denver, surrounded by restaurants, stores, & coffee shops. Union Station is just a few blocks away!
Similar Jobs at Datadog
What you need to know about the Colorado Tech Scene
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
