Staff Software Engineer - Compute Cloud

Posted:
9/27/2024, 7:54:17 AM

Location(s):
Massachusetts, United States ⋅ New York, United States ⋅ Boston, Massachusetts, United States ⋅ Denver, Colorado, United States ⋅ Colorado, United States ⋅ New York, New York, United States

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
DevOps & Infrastructure ⋅ Software Engineering

Workplace Type:
Hybrid

We are looking for a Staff Engineer to help us design, build, and ship our next generation of cloud provider management.

At Datadog we have grown to operate across a wide range of providers, regions, and regulatory environments. With this growth, we have pushed our existing tooling and processes for managing cloud provider accounts and resources to its limits. As we continue to evolve, our approach to managing resources and accounts must too. This evolution will be squarely in the critical path for enabling larger efforts.

We’re just starting to figure out how we can both address these existing concerns and set up Datadog engineering teams for success as we drive towards future phases of growth. As a Staff Engineer, you will play a critical role in guiding the team through this transition, making major technical and operational decisions, and growing the engineers around you.

This role is also unique in that you will get to operate and interact across nearly every engineering team at Datadog while also being directly involved in high level, strategic discussions with all of the major cloud providers.

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

What You'll Do:

  • Design and drive high-priority, high-visibility projects to increase the platform's value, resilience, and scalability across multiple teams.

  • Provide technical leadership across one or several areas of the platform.

  • Lead and guide other engineers through architectural platform decisions.

  • Identify potential system risks and trends in reliability and design solutions to address them.

  • Provide input on prioritizing engineering-led initiatives in short- and long-term planning and roadmaps.

  • Collaborate with internal product teams to understand their requirements and how we can help them continue to rapidly ship new products and features while maintaining a high bar for security, reliability, and scalability.

Who You Are:

  • You have led cross-team initiatives in a platform or infrastructure-focused environment for several years.

  • You have led impactful technical initiatives in an environment where performance, cost efficiency, ease of use, and resilience/operability are first-order concerns.

  • You have significant back-end programming experience and have architected, built, and operated distributed systems to solve problems at a high scale.

  • You enjoy mentoring and coaching other engineers to become even stronger.

  • You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience

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)

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:
$234,000$300,000 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.

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