Systems Engineer 2, Technical Solutions (US-East)

The available sources do not contain information about the company name for rounx.com.; United States; On-site; USD 86,000 - 115,000; Full time

Job summary

Datadog is seeking a Systems Engineer 2 in the US-East region to own enterprise platforms end-to-end, from understanding business processes to designing and implementing solutions that improve workflows across the Technical Solutions organization.

Responsibilities include managing the full lifecycle of systems like Zendesk, Jira, and Confluence, extending them through customization, integration, or development as needed.

Qualifications

• 3–5 years of experience with enterprise platforms and production software.
• Proficiency in Python, Go, or JavaScript/TypeScript.
• Strong full-stack capabilities and familiarity with AI coding tools.

Responsibilities

• Own enterprise platform end-to-end, from understanding business processes to designing and implementing solutions that improve workflows.
• Manage full lifecycle of systems like Zendesk, Jira, and Confluence, including customization, integration, or development.
• Build scalable solutions and integrate AI features; collaborate with engineering to contribute to shared codebases; monitor and maintain production systems for reliability and performance.

Skills

Python

Go

JavaScript/TypeScript

Full-stack capabilities

AI coding tools

LLMs / RAG pipelines

Systems thinking

Large codebases

Technical support tooling

Customer-facing systems

Zendesk

Jira

Confluence

B2B SaaS

Tools

Zendesk

Jira

Confluence

Job description

Datadog is seeking a Systems Engineer 2, Technical Solutions, based in the US-East region. The role involves owning enterprise platforms end-to-end, from understanding business processes to designing and implementing solutions that improve workflows across the Technical Solutions organization. Responsibilities include managing the full lifecycle of systems like Zendesk, Jira, and Confluence, extending them through customization, integration, or development as needed. The ideal candidate will build scalable solutions, integrate AI where applicable, and collaborate with engineering teams to contribute to shared codebases. They will also monitor and maintain systems in production, ensuring reliability and performance.

The candidate should have 3-5 years of experience with enterprise platforms and production software, with proficiency in Python, Go, or JavaScript/TypeScript. Strong full-stack capabilities, fluency in AI coding tools, and experience with AI-powered features such as LLMs or RAG pipelines are required. Additional qualifications include systems thinking, experience with large codebases, and familiarity with technical support tooling or customer-facing systems. A background in a high-growth B2B SaaS environment is preferred.

The role offers a competitive salary range of $86,000-115,000 USD annually, along with comprehensive benefits and opportunities for professional growth.