Senior Full-Stack Software Engineer (m/f/x) - Threat Observability

Dynatrace · Cybersecurity · Health Care · Java · TypeScript · 12 days ago

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Salary

≈ $53k – $98k per year (Estimated)

Location

Hybrid (Vienna, Austria)

Seniority

Senior

Employment

Full-Time

Confirmed on the employer's own hiring board on Nov 2, 2026. First seen by Alion on Oct 21, 2026.

Overview

Company

Impact

Profile match

Dynatrace

Headquartered in Boston, Massachusetts, Dynatrace is a leading software company specializing in unified observability, application performance monitoring (APM), and artificial intelligence for IT operations (AIOps). The platform combines automated cloud infrastructure monitoring, deep application analytics, and digital experience management to provide enterprises with real-time insights into complex cloud-native environments. Serving large organizations worldwide, it helps technology teams optimize system performance, secure workloads, and automate IT operations.

dynatrace.com · HQ: Boston, United States · Information Technology · Cybersecurity · Internet Services · Health Care · Website Monitoring · Application Security · Observability & APM · Est. 2005

Tech stack of Dynatrace

Backed by Garage Capital

Join Dynatrace, a leader in unified observability and security. As a Senior Full-Stack Software Engineer, you will shape our Application Security solution with a focus on Threat Observability. You will design, implement, and deliver end-to-end product capabilities, contribute to our codebase using Java, TypeScript, and React, and mentor colleagues in an inclusive environment.

Missions

Design, implement, and deliver end-to-end product capabilities in cross-functional teams, contributing to the codebase using Java, TypeScript, and React.
Build performant, reliable, resilient, and scalable services in your domain, using AI tooling to accelerate implementation and applying sound engineering judgment.
Mentor and support colleagues in an approachable, inclusive, and knowledge-sharing environment, helping to implement pragmatic AI-assisted engineering practices.

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