AI Augmented Software Engineer [gn] Data Intelligence Platform

Jobgether; Schweiz; Hybrid; CHF 120.000 - 160.000; Vollzeit

Benefits dieser Stelle

Remote or hybrid options

Competitive benefits

Autonomy and ownership

Zusammenfassung

Jobgether is seeking an AI-augmented Software Engineer for its Data Intelligence Platform based in Switzerland. You will build a modern data platform, enabling organizations to discover, govern, and trust data with end-to-end responsibility across backend services and frontend experiences.

You will work in an agile environment, using AI coding assistants to accelerate development while keeping human judgment central.

Qualifikationen

• Proven full-stack SaaS experience.
• Experience with AI coding assistants like Claude Code.
• Strong judgment for AI-generated output.
• Backend in Scala/Java; frontend in TypeScript/Angular.
• Cloud and SaaS architecture in AWS.
• Experience with Docker, Kubernetes, GitHub workflows, CI/CD.
• Agile mindset and autonomous work style.
• Strong product thinking and communication.
• English proficiency.
• Experience with data governance or data intelligence platforms.

Aufgaben

• Design and ship full-stack features across backend and frontend.
• Own features from requirements to production support.
• Leverage AI coding assistants while maintaining human judgment.
• Collaborate on agile, product-focused engineering discussions.
• Promote clean architecture and secure development practices.

Kenntnisse

Full-stack software engineer

AI coding assistants

AWS fundamentals

English proficiency

Data governance / data intelligence

Tools

Scala/Java backend

TypeScript/Angular frontend

Docker

Kubernetes

GitHub workflows

CI/CD pipelines

Jobbeschreibung

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Augmented Software Engineer [gn] Data Intelligence Platform based in Switzerland.

This is an opportunity for a full-stack engineer to help build a modern data intelligence platform that enables organisations to discover, govern, and trust their data.
You’ll work end-to-end across backend services and frontend experiences, taking features from initial concept through production delivery.
AI coding assistants will be a core part of your engineering toolkit, helping you accelerate development while keeping human judgment at the center of technical decisions.
You’ll contribute to scalable SaaS products where correctness, security, performance, and maintainability are critical.
The role offers significant autonomy, encouraging you to identify problems, shape solutions, and move initiatives forward without waiting for detailed instructions.
You’ll collaborate closely with product managers and engineers in an agile, feedback-driven environment focused on continuous improvement.
It’s an ideal setting for a pragmatic builder who wants to multiply their engineering impact through thoughtful use of AI.

Accountabilities

• Design and implement full-stack product features across backend services and frontend interfaces, ensuring strong performance, reliability, security, and maintainability.
• Take ownership of features from understanding requirements and technical design through implementation, testing, deployment, and production support.
• Use AI coding assistants such as Claude Code, Cursor, and comparable tools deliberately to accelerate development, reduce repetitive work, explore solutions, improve test coverage, and increase engineering leverage.
• Apply sound engineering judgment when using AI-generated output, reviewing, validating, and improving solutions rather than relying on automation without oversight.
• Participate actively in technical design discussions and code reviews, promoting clean architecture, secure development practices, and testable code.
• Troubleshoot production issues and participate in incident response, taking shared responsibility for the stability and reliability of the platform.
• Work closely with Product Managers to understand customer and business requirements early and translate them into clear, achievable technical solutions.
• Share technical knowledge with colleagues through documentation, technical sessions, and internal development practices.
• Help establish and improve AI-assisted engineering practices, contributing reusable approaches, workflows, and lessons learned across the team.
• Contribute to an agile working environment based on short feedback loops, iterative delivery, collaboration, and continuous learning.

Requirements:

• Proven professional experience as a full-stack software engineer, with a track record of independently building and shipping production features in SaaS environments.
• Demonstrated experience using AI coding assistants such as Claude Code, Cursor, or similar tools as an integrated part of your development workflow.
• Strong engineering judgment and the ability to recognize when AI-generated solutions are useful, incomplete, misleading, or require deeper human analysis.
• Practical experience with Scala or Java on the backend and TypeScript and Angular on the frontend is highly valuable; expertise across every technology is not required, but you should be willing and able to grow across the stack.
• Solid understanding of SaaS architecture and cloud fundamentals, particularly within AWS environments.
• Experience with Docker, Kubernetes, GitHub workflows, and CI/CD pipelines.
• Strong understanding of software engineering principles, including clean architecture, testing, maintainability, performance, and secure development.
• A genuine agile mindset, with a preference for iterative delivery, rapid feedback, collaborative problem-solving, and continuous improvement.
• Strong product thinking and the ability to translate business and user requirements into well-scoped technical solutions.
• Comfortable working with autonomy, taking initiative, and driving work forward without requiring every task to be explicitly assigned.
• Strong communication and knowledge-sharing skills within collaborative engineering teams.
• Full professional proficiency in English.
• Experience with data governance, data catalogs, metadata management, or data intelligence platforms is a significant advantage.

Benefits:

• Competitive salary and comprehensive benefits package.
• Flexible working arrangements, including remote or hybrid options.
• Opportunity to work on an innovative data intelligence platform with real-world enterprise impact.
• Exposure to AI-assisted software engineering and the opportunity to help shape modern development practices.
• High level of autonomy and ownership in a builder-oriented environment.
• Collaboration with a passionate, diverse, and internationally minded engineering team.
• Opportunities for professional growth, technical development, and continuous learning.
• Agile, collaborative culture focused on outcomes, experimentation, and short feedback loops.
• Inclusive working environment where qualified candidates are encouraged to apply regardless of background or identity.

Inclusive working environment where qualified candidates are encouraged to apply regardless of background or identity.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!