Senior Software Engineer, AI Code Gen

Datadog

Hybrid

Quick summary

Work type: Hybrid
Location: —
Salary: $187,000–$240,000 / yr
Posted: 25 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $199k

This role $214k

$153k most similar roles pay here $249k

This role pays more than 58% of similar roles. Most pay $162,562–$235,750 — the shaded band above. At the midpoint, this role pays about $214k versus about $199k for comparable roles.

Based on 240 similar postings.

Employer

About Datadog

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.

Datadog currently has 130 open roles on FindRole.

Listed pay typically runs $187,000–$240,000 across 65 roles with salary data.

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View all roles at Datadog

At a glance

TL;DR · Senior Software Engineer, AI Code Gen

Role Posting Log in to save

Join our dynamic new team at Datadog as a senior backend engineer focused on developing AI-assisted tools to enhance developer productivity. You will collaborate closely with users, designers, and data scientists to create cutting-edge LLM-based agents that autonomously generate tests, fix bugs, and improve performance. Your daily tasks include prototyping, evaluating, and integrating these systems into Datadog’s products while keeping abreast of the latest research in LLM prompting and code editing. Ideal candidates have at least five years of experience with Go, Java, or Python, a passion for Generative AI, and expertise in large-scale systems and data sets. You should also be skilled in writing developer tools like IDEs and static code analysis tools, and capable of driving technical discussions towards practical solutions. This role offers significant influence over product direction within a fast-growing startup environment that values its engineers and customers highly.

Skills

Go Python Java LLMs Large-scale systems Machine learning CI/CD Docker Kubernetes AWS GitHub GitLab Jenkins PostgreSQL Redis Prometheus Grafana Datadog IDE extensions Dynamic Instrumentation

What you'll do

Develop LLM-based agents to assist Datadog developers in generating tests and fixing bugs.
Create prompts, evaluations, and tools for integrating code with AI systems and Datadog products.
Prototype new features, gather user feedback, and iterate rapidly before deployment.
Stay updated on the latest research in LLM prompting, agent development, and code editing techniques.
Collaborate with other Datadog teams to enhance product capabilities through integration efforts.

What we're looking for

At least 5 years of professional backend engineering experience in Go, Java, or Python.
Experience shipping software that uses Large Language Models to production.
Passionate about Generative AI and its ability to enhance developer productivity.
Relevant experience with large-scale systems, data sets, machine learning, or adjacent fields.
Strong community ambassador skills and the ability to drive technical discussions towards practical solutions.

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