Senior Software Engineer - Event Platform Storage

Posted:
8/14/2024, 5:55:44 AM

Location(s):
New York, New York, United States ⋅ New York, United States

Experience Level(s):
Senior

Field(s):
Software Engineering

Workplace Type:
Hybrid

Our Event Platform ingests, transforms and stores events to provide more than 30 Datadog products data retrieved by a query API at a rate of ~15 Million messages/second. With a focus on a high-level of reliability, you will contribute to a platform using Java, Go and bits of Python and Rust. Engineers with a background or interest in the challenges of optimizing distributed systems for durability, high availability, low latency and scalability are encouraged to apply. Husky Blog Husky Deep Dive

 

We are looking for a Senior Engineer to join our Event Platform Storage team. Our Event Platform ingests, transforms and stores events to provide more than 30 Datadog products data retrieved by a query API at a rate of ~15 Million messages/second. With a focus on a high-level of reliability, you will contribute to a platform using Java, Go and Rust. 

 

Engineers with a background or interest in the challenges of optimizing distributed systems for durability, high availability, low latency and scalability are encouraged to apply. 

 

This is a unique opportunity to contribute to one of the most critical platforms at Datadog. This platform provides a scalable, exactly-once, cost-effective, and reliable storage engine for timestamped payloads with a full-featured and fast query engine with multiple integration options.. We have challenges to continue scaling these components and add new features important for our customers. This is an opportunity to accelerate the growth of one of the most profitable parts of the business.

 

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:

  • Build and operate distributed, high-throughput, real-time data pipelines
  • Do it in Go and Java, with bits of Python or other languages
  • Use Kafka, Kubernetes, FoundationDB, and other open-source components
  • Own meaningful parts of our service, have an impact, grow with the company
  • Design and architecture the more effective data pipeline using modern architecture
  • Write a significant amount of code, lead architectural decisions for new and existing services

 

Who You Are: 

  • BS/MS/PhD in Computer Sci/Eng, Math, Physics or equivalent STEM field 
  • Experience with one or more programing languages (Go, Java, Rust, C++, Python) 
  • Experience building storage engines, datastores and/or high scale Distributed Systems 
  • Desire to work in a fast paced, high-growth tech first environment 

 

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:

  • Product training to develop an in-depth understanding of our product and space
  • Continuous career development and pathing opportunities for internal mobility 
  • Intradepartmental mentor and buddy program for in-house networking 
  • An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
  • New hire stock equity (RSUs) and employee stock purchase plan
  • Free global mental health benefit through Spring Health 
  • 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.

 

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.

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