Quick summary
- Work type
- Hybrid
- Location
- South Africa
- Posted
- 4 days ago
Market check
Salary context
How this pay compares to similar roles
Similar $180k
$133k
most similar roles pay here
$233k
This listing doesn't post a salary. Most similar roles pay $149,950–$209,400.
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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At a glance
TL;DR · Technical Account Manager 2
As a Senior Software Engineer joining the Datadog team, you will play a pivotal role in developing scalable and reliable systems that enhance our monitoring and analytics platform. Your day-to-day responsibilities include designing and implementing robust solutions using Jenkins, GitLab, and other cutting-edge tools, ensuring seamless integration with existing infrastructure. You will work closely with cross-functional teams to identify and solve complex technical challenges, contributing to the continuous improvement of Datadog’s product suite. Proficiency in languages such as Python or Go, along with a strong understanding of cloud technologies like AWS and Kubernetes, is essential. This role demands expertise in DevOps practices and a deep commitment to delivering high-quality software that meets the needs of our global customer base at scale.
What you'll do
- Manage continuous integration/continuous deployment (CI/CD) pipelines using Jenkins.
- Automate build, test, and release processes for software projects.
- Integrate source code repositories like GitLab into CI/CD workflows.
- Monitor and optimize pipeline performance to enhance development efficiency.
- Troubleshoot and resolve issues in automated build systems.
What we're looking for
- 5+ years of experience in software development or DevOps engineering.
- Proficient in automation tools like Jenkins, GitLab CI/CD pipelines.
- Strong understanding of cloud platforms such as AWS, Azure, or GCP.
- Experience with containerization technologies (Docker) and orchestration (Kubernetes).
- Solid background in scripting languages (Python, Bash, etc.) for system administration.
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