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Senior Software Engineer - IDE AI Experiences - LLM Engineer

Datadog

Senior Software Engineer - IDE AI Experiences - LLM Engineer

Datadog

Tel Aviv, Israel

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Learning and development stipend

Health, dental, and vision coverage

Remote work flexibility

Annual team offsites

Top Tier compensation with equity

Required Skills

Python

SQL

Apache Spark

We’re building a new team building to bring the power of Datadog to developers within AI-focused IDE experiences such as Cursor and GitHub Copilot.

We’re looking for product-minded engineers who are excited about developer tools, to help us quickly define and ship IDE experiences that make all Datadog customers 10x developers.

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:

  • Work on prompts, evals, and agent tools for working with code as part of the Datadog MCP server, and on the engineering to productionize these systems and integrate them within our customer’s IDE

  • Help conceptualize and build innovative UIs within the Datadog Cursor / VSCode extension that work hand in hand with our groundbreaking AI experiences.

  • Prototype and see what works well in the real world, iterate closely with our users, and then ship

  • Follow the latest research on LLM prompt optimization, agents, and code editing.

  • Support other Datadog product teams to help them build and productionize their developer-focused MCP toolings. For example, you’ll work with the Live Debugger team to create an agentic production debugging experience, delivering on the vision of “one click to reproduce” for production errors.

Who You Are:

  • You’re a backend engineer with at least 5 years of professional experience who values code simplicity and performance. You’ve shipped software that uses LLMs to production

  • You are passionate about Generative AI and its ability to help software engineers be more productive

  • You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields

  • You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution

  • You want to work in a fast, high-growth startup environment that respects its engineers and customers

  • You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers)

  • 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)

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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About Datadog

Datadog

Datadog

Public

An observability and security platform that offers infrastructure, applications, software development, and monitoring services.

5,001-10,000

Employees

New York

Headquarters

$40B

Valuation

Reviews

3.9

2 reviews

Work Life Balance

2.5

Compensation

3.0

Culture

3.2

Career

3.0

Management

2.8

55%

Recommend to a Friend

Pros

Interesting company and work

International presence outside US

Good for referrals from former colleagues

Cons

On-call rotation requirements

Work-life balance concerns

Timezone synchronization issues

Salary Ranges

55 data points

Mid/L4

Mid/L4 · Applied Scientist

2 reports

$213,200

total / year

Base

$164,000

Stock

-

Bonus

-

$188,500

$237,900

Interview Experience

8 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Interview Process

1

Phone Screen

2

Technical Interview

3

Final Interview

Common Questions

Technical/Coding

Behavioral

System Design