Software Engineer - Cloud Metrics

New York, New York, USA; Boston, Massachusetts, USA


About Datadog:

At Datadog, we’re on a mission to build the best monitoring platform in the world.  We operate at high scale—trillions of data points per day—and high availability, providing always-on alerting, visualization, and tracing for our customers' infrastructure and applications around the globe.

Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. Join us to own significant chunks of our architecture, build systems at scale, and ship to production every day for customers who care deeply about what you build.

 

The team:

The Cloud Provider team builds software to connect with the vast ecosystem of cloud platforms, services, and tools that our customers use. The team instruments VMs, databases, load balancers, lambda functions, and everything else in a vast array of services that cloud providers like AWS, GCP, and Azure provide.

 

The opportunity:

Easily configurable integrations are a key part of why our customers love Datadog. As an engineer you'll help scale and expand our range of cloud provider services. You’ll become an expert in everything cloud—instrumenting the latest AWS, GCP, and Azure offerings as they are released and exploring other cloud providers’ functionality, often before the general public has access.

 

Requirements:

  • You have significant experience in one or more languages
  • You value code simplicity and performance
  • You can design architecture to solve problems at high scale
  • You have a BS/MS/PhD in a scientific field or equivalent experience
  • You want to work in a fast, high-growth startup environment that respects its engineers and customers

 

Bonus points:

  • You've worked at high scale with systems like Redis, Cassandra, Kafka
  • You’ve built something on top of AWS, GCP, and/or Azure APIs
  • You are a master at Python, Java, C++ or Go
  • You know Linux, from the system to the libs to the common apps

#LI-XL1

The reasonably estimated salary for this role at Datadog ranges from $130,000 - $300,000, plus a competitive 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.

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.

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.