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Senior Backend Software Engineer - Product Analytics

Datadog

Senior Backend Software Engineer - Product Analytics

Datadog

Tel Aviv, Israel

·

On-site

·

Full-time

·

2mo ago

복지 및 혜택

Flexible Hours

Learning

Parental Leave

필수 스킬

JavaScript

Python

PostgreSQL

Product Analytics aims to help developers, product managers and designers understand their users, take data-oriented product decisions and evaluate the impact of technical issues on their customer base. As a Senior Software Engineer on the Product Analytics Backend team, you'll join a new, fast-growing product area. You will help define our technical vision, influence the product roadmap, and solve complex engineering challenges at scale.
In Product Analytics, we consume and process data from multiple sources: clickstreams, user information, and data from third-party systems. Your work will be central to building a robust and flexible system that can ingest, manipulate, correlate and store all this data to have it efficiently queried by our end 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:

Design, build, and maintain core backend systems for Product Analytics, ensuring scalability, reliability, and high performance
Drive technical architecture decisions in alignment with product goals and collaborate closely with frontend and platform teams
Work with our core platform teams to tailor Datadog's storage and query solutions to our needs
Create a strong team culture aligned with our engineering standards and our customer focus
Participate in hands-on engineering work including coding, code reviews, and design reviews

Who You Are:

A seasoned backend engineer with deep expertise in designing and building distributed systems
Comfortable influencing technical direction without direct management authority, operating as a technical leader and mentor
Interested in working on an early stage project with many challenges to solve and a fast iteration cycle
You have a track record of delivering high-quality software products on schedule and collaborating closely with product partners
Strong technician, particularly with Go, Java or SQL, who is interested in remaining a hands-on contributor
You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how

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.
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 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 other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the 2NdZF_65u ZmWUrCM-zee7yADXX1s6Xr9zAGq8iKA/viewform" target="_blank">this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.

Privacy and AI Guidelines:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

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Datadog 소개

Datadog

Datadog

Public

Datadog, Inc. is an American company that provides an observability service for cloud-scale applications, providing monitoring of servers, databases, tools, and services, through a SaaS-based data analytics platform.

5,001-10,000

직원 수

New York

본사 위치

$40B

기업 가치

리뷰

4.3

10개 리뷰

워라밸

3.2

보상

4.0

문화

4.5

커리어

3.8

경영진

4.2

78%

친구에게 추천

장점

Great team culture and collaborative environment

Flexible hours and work-life balance

Cutting-edge technology and innovative projects

단점

High workload and tight deadlines

Fast-paced environment can be overwhelming

Long hours affecting work-life balance

연봉 정보

51개 데이터

Junior/L3

Junior/L3 · Data Analyst

0개 리포트

$182,500

총 연봉

기본급

-

주식

-

보너스

-

$155,125

$209,875

면접 경험

4개 면접

난이도

3.5

/ 5

소요 기간

14-28주

면접 과정

1

Application Review

2

HR Screen

3

Technical Interview

4

Final Interview

5

Offer Decision

자주 나오는 질문

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience