Programmierer*in: Software Engineering Diploma

SAE Institute GmbH; München; Vor Ort; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

We are seeking experienced software engineers to help train and evaluate next-generation AI systems through real-world software engineering tasks. This role is best suited for developers who can reason through unfamiliar codebases, explain engineering decisions clearly, and solve practical backend, full-stack, systems, or infrastructure-related problems.

A Cybersecurity/SecOps background or exposure is highly preferred.

Qualifikationen

• 3+ years of hands-on software engineering experience.

Aufgaben

• Work on challenging software engineering tasks across backend, full-stack, infrastructure, and systems-related projects.
• Review, debug, improve, and explain code across different technical environments.
• Design or evaluate practical solutions involving APIs, databases, services, integrations, testing, and deployment workflows.
• Identify tradeoffs around scalability, maintainability, performance, reliability, security, and developer experience.
• Communicate technical reasoning clearly in writing, including why a solution works and what alternatives were considered.
• Collaborate with the customer's team on technical reviews, implementation decisions, and problem-solving exercises.
• Adapt quickly to new codebases, frameworks, and technical requirements.

Kenntnisse

Hands-on software engineering

Explain engineering decisions clearly

Debugging & testing

API, backend, full-stack experience

Cloud environments (AWS,GCP,Azure)

CI/CD & DevOps basics

Frontend frameworks (React, Next.js, 0

Open-source contributions

Tools

AWS

GCP

Azure

CI/CD tools

Jobbeschreibung

We are looking for experienced software engineers to help train and evaluate next-generation AI systems through real-world software engineering tasks.This role is best suited for developers who can

Job Title: Software Engineer

Job Type: Contract

Location: Remote

Job Summary: We are looking for experienced software engineers to help train and evaluate next-generation AI systems through real-world software engineering tasks. This role is best suited for developers who can reason through unfamiliar codebases, explain engineering decisions clearly, and solve practical backend, full-stack, systems, or infrastructure-related problems.

A Cybersecurity/SecOps background or exposure is highly preferred.

Key Responsibilities:

• Work on challenging software engineering tasks across backend, full-stack, infrastructure, and systems-related projects.
• Review, debug, improve, and explain code across different technical environments.
• Design or evaluate practical solutions involving APIs, databases, services, integrations, testing, and deployment workflows.
• Identify tradeoffs around scalability, maintainability, performance, reliability, security, and developer experience.
• Communicate technical reasoning clearly in writing, including why a solution works and what alternatives were considered.
• Collaborate with the customer's team on technical reviews, implementation decisions, and problem-solving exercises.
• Adapt quickly to new codebases, frameworks, and technical requirements.

Required Skills and Qualifications:

• 3+ years of hands-on software engineering experience.
• Experience building, maintaining, or reviewing production-level applications, APIs, services, databases, or integrations.
• Strong understanding of software engineering fundamentals, including debugging, testing, code quality, architecture, and technical tradeoffs.
• Ability to explain complex engineering decisions clearly and objectively.
• Comfortable reading and reasoning through unfamiliar code or technical requirements

Preferred Qualifications:

• Experience with cloud environments such as AWS, GCP, or Azure.
• Experience with CI/CD pipelines, DevOps workflows, containers, monitoring, or production operations.
• Experience with frontend frameworks such as React, Next.js, Angular, Vue, or React Native.
• Open-source contributions, public GitHub work, technical writing, or strong examples of past engineering work.
• Experience mentoring engineers, reviewing code, or making architecture decisions.