Enable job alerts via email!

Senior Software Engineer - Distributed Systems (Event Platform)

Datadog,

New York (NY)

On-site

USD 200,000 - 240,000

Full time

30+ days ago

Boost your interview chances

Create a job specific, tailored resume for higher success rate.

Job summary

Join a dynamic and innovative team at a leading tech company where you will build and operate distributed, high-throughput data pipelines using cutting-edge technologies like Go and Java. This role offers the opportunity to work on real-time systems that handle millions of messages per second while collaborating with talented engineers. You'll have a significant impact on the architecture and design of our services, contributing to a platform that is crucial for our suite of products. If you're passionate about optimizing distributed systems and eager to grow in a fast-paced environment, this is the perfect opportunity for you.

Benefits

Product training
Continuous career development
Mentor and buddy program
Inclusive company culture
Stock equity (RSUs)
Free mental health benefits
Generous global benefits
401(k) plan and match
Paid time off
Fitness reimbursements

Qualifications

  • Experience with distributed systems and storage engines is essential.
  • Passion for technology and a desire to grow skills are encouraged.

Responsibilities

  • Build and operate high-throughput, real-time data pipelines.
  • Design effective data pipelines using modern architecture.

Skills

Go
Java
Python
Rust
C++

Education

BS in Computer Science
MS in Computer Science
PhD in Computer Science
Equivalent STEM field

Tools

Kafka
Redis
Cassandra
Elasticsearch

Job description

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.

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, Redis, Cassandra, Elasticsearch 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 programming 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: $200,000 — $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.

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.

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.

Similar jobs

Senior Software Engineer, Distributed Systems

Mixpanel

Remote

USD 229 000 - 281 000

30+ days ago

Software Engineer, Distributed Systems

Mixpanel

Remote

USD 191 000 - 233 000

30+ days ago