Technical Account Manager 2 - San Francisco | Datadog Careers

Datadog

Hybrid

Quick summary

Work type: Hybrid
Location: —
Salary: $101,000–$147,000 / yr
Posted: 7 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $192k

This role $124k

$85k most similar roles pay here $251k

This role pays less than 90% of similar roles. Most pay $160,375–$223,812 — the shaded band above. At the midpoint, this role pays about $124k versus about $192k 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 122 open roles on FindRole.

Listed pay typically runs $187,000–$240,000 across 62 roles with salary data.

Most-posted roles

View all roles at Datadog

At a glance

TL;DR · Technical Account Manager 2 - San Francisco | Datadog Careers

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As a Senior Software Engineer at Datadog, you will join the observability team to build and enhance monitoring tools for large-scale applications. Your day-to-day responsibilities include developing robust features using modern web technologies, collaborating with cross-functional teams to integrate new services, and ensuring high performance and reliability of our products. You should be proficient in JavaScript/TypeScript, familiar with frameworks like React or Angular, and have experience with CI/CD tools such as Jenkins and GitLab. The role requires a deep understanding of cloud-native architectures and the ability to tackle complex business challenges related to application monitoring at scale.

Skills

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

What you'll do

Configure and maintain CI/CD pipelines using Jenkins and GitLab.
Automate testing processes to ensure code quality and reliability.
Integrate source control systems with build tools for seamless development.
Monitor and optimize pipeline performance for faster deployment cycles.
Troubleshoot issues in continuous integration environments efficiently.

What we're looking for

5+ years of experience in software development or DevOps engineering.
Proficient in CI/CD tools like Jenkins and GitLab.
Strong knowledge of cloud platforms such as AWS, Azure, or GCP.
Experience with containerization technologies including Docker and Kubernetes.
Excellent problem-solving skills and ability to work independently.
Familiarity with monitoring and analytics tools similar to Datadog.