Backend Engineer (Go/.NET) for AI-Driven Hybrid Platforms

Jobtailor; Wien; Vor Ort; EUR 70.000 - 110.000; Vollzeit

Zusammenfassung

Jobtailor in Vienna, Austria seeks a Backend Engineer to design and implement robust APIs and data-driven services. You will work across Genetec products, building hybrid solutions that connect on-premises and cloud components, with focus on SQL data modelling and scalable pipelines.

You will contribute to AI integration, productionizing ML models, and collaborating with cross-functional teams in a hybrid environment. English communication is essential.

Qualifikationen

• Strong SQL and data-modelling skills.
• Experience designing and building APIs and production software.
• Familiarity with Git and CI/CD workflows.
• Experience with Azure or other cloud platforms.
• Experience with hybrid, distributed, or on-premises systems.

Aufgaben

• Build and evolve hybrid solutions connecting Genetec’s on-premises and SaaS products.
• Develop backend services and APIs primarily with .NET or Go.
• Design data integrations and pipelines for multiple security data types.
• Build investigation workflows across Genetec products.
• Integrate AI capabilities including natural-language search, computer vision, and anomaly detection.
• Productionize and maintain models delivered by research teams through the Genetec ML Platform.
• Collaborate with Product, UX, QA, Security, AI, and engineering teams.
• Contribute to architecture, testing, CI/CD, observability, and production operations.
• Share knowledge and contribute to an innovative engineering culture.

Kenntnisse

Go

.NET/C#

SQL

Data modelling

API design

AI integration

ML productionization

Data pipelines

Observability

Hybrid architectures

Tools

Git

CI/CD

Azure

Containers

Infrastructure As Code

Jobbeschreibung

Jobtailor in Vienna, Austria seeks a Backend Engineer to design and implement robust APIs and data-driven services. You will work across Genetec products, building hybrid solutions that connect on-premises and cloud components, with focus on SQL data modelling and scalable pipelines.

You will contribute to AI integration, productionizing ML models, and collaborating with cross-functional teams in a hybrid environment. English communication is essential.