Enterprise Sales Engineer

Datadog

Hybrid

Quick summary

Work type: Hybrid
Location: —
Salary: $118,000–$157,000 / yr
Posted: 3 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $175k

This role $138k

$107k most similar roles pay here $221k

This role pays less than 77% of similar roles. Most pay $139,812–$209,750 — the shaded band above. At the midpoint, this role pays about $138k versus about $175k 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.

Most-posted roles

View all roles at Datadog

At a glance

TL;DR · Enterprise Sales Engineer

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As a Senior Software Engineer at Datadog, you will join the observability team to build scalable and reliable solutions for monitoring complex systems. Your day-to-day responsibilities include designing and implementing new features using cutting-edge technologies such as Kubernetes, Docker, and various cloud platforms like AWS and GCP. You will work closely with other engineers to ensure high performance and maintainability of our products while adhering to best practices in software development. This role requires expertise in programming languages like Python, Go, or Java, along with a strong understanding of distributed systems and microservices architecture. With a focus on solving real-world business problems through innovative technical solutions, you will contribute significantly to Datadog’s mission of providing comprehensive observability tools for large-scale applications.

Skills

Python Docker Kubernetes AWS CI/CD PostgreSQL Redis Git Jenkins Terraform Prometheus Grafana

What you'll do

Develop and maintain scalable software solutions using best practices.
Analyze system performance to optimize efficiency and resource utilization.
Design and implement automated testing frameworks for continuous integration.
Troubleshoot complex technical issues and provide timely resolutions.
Collaborate with cross-functional teams to define project requirements.

What we're looking for

3+ years of experience in software engineering or related field
Proficient in at least one programming language (e.g., Python, Java)
Strong problem-solving skills and ability to work independently
Experience with cloud platforms like AWS, Azure, or GCP
Excellent communication and collaboration skills for team environments
Bachelor’s degree in Computer Science or a related technical field