Systems Engineer II, Technical Solutions

Datadog

Confirmed live yesterday High trust
Remote Hybrid

Quick summary

Work type
Remote
Location
Remote
Salary
$86,000–$115,000 / yr
Posted
43 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $158k
This role $100k
$73k most similar roles pay here $207k

This role pays less than 91% of similar roles. Most pay $130,702–$185,400 — the shaded band above. At the midpoint, this role pays about $100k versus about $158k 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 266 open roles on FindRole.

Listed pay typically runs $161,000–$205,000 across 138 roles with salary data.

Most-posted roles

View all roles at Datadog

At a glance

TL;DR · Systems Engineer II, Technical Solutions

The Systems Engineer 2, Technical Solutions joins the Technical Solutions Operations team to manage the full lifecycle of enterprise platforms like Zendesk, Jira, and Confluence. This role involves owning internal systems end-to-end by identifying business needs, designing solutions through configuration or custom code, and building integrations and automations that empower technical experts. You will develop tools using Python, Go, or JavaScript/TypeScript while integrating AI capabilities such as intelligent routing and automated triage into the workflow. The position requires experience with web services, APIs, data pipelines, and CI/CD pipelines to maintain production systems. You will solve business problems by creating scalable solutions within a B2B SaaS environment, specifically focusing on technical support tooling and internal infrastructure to improve operational efficiency for the Technical Solutions organization.

What does a Systems Engineer earn?

Median $158250 from 186 postings across 30 companies.

See salary data

What you'll do

  • Manage the full lifecycle of enterprise platforms like Zendesk, Jira, and Confluence to support internal workflows.
  • Design and build integrations, automations, and custom tools to increase the efficiency of technical teams.
  • Incorporate AI features into system designs for intelligent routing, automated triage, and agent-assisted workflows.
  • Contribute code to shared repositories to develop specific features like support tooling and in-app experiences.
  • Use AI coding tools daily to accelerate development, explore new systems, and automate repetitive tasks.
  • Partner with leadership to identify business bottlenecks and engineer technical solutions that drive adoption.
  • Monitor, maintain, and troubleshoot production systems to proactively resolve issues before they impact users.

What we're looking for

  • 3-5 years of experience with enterprise platforms and production software.
  • Experience administering, extending, or integrating systems like Salesforce, Zendesk, or Jira.
  • Proficiency in Python, Go, or JavaScript/TypeScript.
  • Ability to work across the full stack including backend services, frontends, APIs, and CI/CD pipelines.
  • Demonstrated fluency with AI coding tools such as Copilot or Claude.
  • Experience building AI-powered features involving LLMs, embeddings, RAG pipelines, or agent frameworks.
  • Experience contributing to a large shared codebase using established engineering practices like code reviews and observability.
  • Background in technical support tooling, customer-facing business systems, or high-growth B2B SaaS environments.

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