Software Engineer, Data Infrastructure & Acquisition

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Engineer, Data Infrastructure & Acquisition based in Germany.

This role sits at the intersection of software engineering, data infrastructure, and applied AI, focusing on building and scaling the systems that power large-scale dataset acquisition for next-generation machine learning models. You will work in a fully distributed environment alongside engineers, researchers, and product leaders to design robust ingestion pipelines capable of handling massive, high-quality audio and text datasets.

Accountabilities

You will be responsible for building, maintaining, and scaling large-scale data ingestion and acquisition systems that support AI model training and product development. You will design and extend cloud-based infrastructure, optimize data pipelines, and ensure efficient processing of high-volume datasets across distributed systems.

• Build and maintain scalable data ingestion and processing pipelines
• Extend cloud infrastructure (GCP) using Infrastructure-as-Code tools
• Identify and integrate new data sources into acquisition systems
• Collaborate with research and AI teams to improve dataset quality and efficiency
• Optimize systems for cost, throughput, and reliability at scale
• Contribute to architecture and roadmap decisions for data infrastructure

Requirements

The ideal candidate brings strong software engineering experience with a focus on distributed systems, data infrastructure, or backend engineering in production environments.

• 5 years of software engineering experience
• Strong proficiency in Python and Linux environments (bash scripting)
• Experience with GCP and Infrastructure-as-Code (Terraform preferred)
• Hands-on experience with Docker and cloud-native development
• Exposure to large-scale data pipelines or web crawling systems (preferred)
• Strong problem-solving and system design skills
• Excellent communication and cross-functional collaboration abilities
• Degree in Computer Science or related technical field (BS/MS/PhD)

Benefits

• Competitive base salary with bonus and equity opportunities
• Fully remote, distributed-first work environment
• High-impact role working on AI systems used at global scale
• Opportunity to shape foundational data infrastructure for ML models
• Collaborative, engineering-driven culture with strong autonomy
• Access to cutting-edge AI and data engineering technologies

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.

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