Level: Lead

Job Field: Data, Back End

Employment Type: Full Time

Contract Type: Permanent employment

Salary: 90.000 to 110.000€ Gross/Year

Location: Vienna

Working Model: Hybrid, Onsite

Job Summary

In this role, you'll develop core backend services and scalable architectures using C#/.NET and Node.js, handle AI requirements, and oversee code quality for a data-intensive product.

Job Technologies

Your role in the team

Our customer is a Legal-tech B2B SaaS company that can protect any product on the internet (Remove.tech).
Remove.tech grew from 0 to 1.2M in ARR within 3 years and is a bootstrapped remote-first company founded in Vienna, Austria.
The founders are looking for an ambitious Sr. Engineer who takes ownership of the technical side of the product.
Own and evolve core backend services (crawler, data collection, AI services, user services).
Design for scalability, maintainability, and robustness.
Shape and challenge the existing architecture (C#/.NET services with a Node.js layer).
Build and launch standards for code quality, testing, monitoring, and alerting.
Translate complex product and AI requirements into reliable backend solutions.
Work hands-on with .NET/C#, Node.js, MongoDB, PostgreSQL, RabbitMQ, React/TypeScript.
Act as technical backbone for external developers and future engineering hires.
Collaborate closely with founders, product, and customers.
Contribute to hiring by defining technical expectations and evaluating candidates.

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Our expectations of you

Qualifications

Fluent in a typed backend language (ideally C#/.NET).
Comfortable working with Node.js as integration or service layer.
End-to-end mindset: architecture, implementation, testing, monitoring.
High code quality standards and documentation discipline.
Ability to communicate clearly with technical and non-technical stakeholders.
Hands-on attitude with a desire to take ownership of tasks and responsibilities.
Outstanding communication and interpersonal abilities.
Desire to work in a fast-paced scale-up and passion for working with digital products and services.
Strong strategic thinking and analytical skills, with the ability to translate insights into actionable technical strategies and operational plans.
Curiosity for AI-driven products and data-heavy systems.
Strong ownership mentality and bias for execution.
English required; German is a plus.