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 Saudi Arabia.
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. The work directly impacts how data is collected, processed, and transformed into training-ready assets that fuel AI innovation. You’ll contribute to improving the cost, scale, and efficiency of data systems while helping define the roadmap for dataset development. The environment is fast-moving, highly collaborative, and deeply technical, with strong ownership and autonomy. This is a chance to shape foundational infrastructure used by millions of users globally.
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. You will collaborate closely with AI scientists and engineering teams to improve data quality, reduce cost, and increase throughput for training workflows. You will also identify and integrate new external data sources, including audio and web-based datasets, into production pipelines. Additionally, you will help define dataset strategy and contribute to architectural decisions that support long-term scalability and reliability of infrastructure systems.
The ideal candidate brings strong software engineering experience with a focus on distributed systems, data infrastructure, or backend engineering in production environments. You should have hands-on experience with Python and Linux-based development workflows, along with strong familiarity with cloud platforms such as GCP and infrastructure-as-code tools like Terraform. Experience with Docker, large-scale data pipelines, or web crawling systems is highly valuable. You are comfortable working in fast-paced, ambiguous environments and can manage multiple priorities effectively. Strong communication skills and the ability to collaborate across technical and research-driven teams are essential. A background in Computer Science or a related technical field is expected, along with a proven ability to build reliable and scalable systems.
Based on 7,300 disclosed Software salaries on RoleSuite, the role pays a median of $156K/year, with most offers between $123K and $197K (10th–90th percentile: $101K–$233K).
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