Software Engineer Data Infrastructure & Acquisition📣 Job Ad
| Contract Type | Full-time | |
| Workplace type | Remote | |
| Location | Saudi Arabia |
About the Role
Jobgether is seeking a Software Engineer, Data Infrastructure & Acquisition to join a partner company. This full-time position is based in Saudi Arabia and focuses on building and scaling systems for large-scale dataset acquisition, crucial for next-generation machine learning models. The role operates in a fully distributed environment, collaborating with engineers, researchers, and product leaders to design robust ingestion pipelines for massive, high-quality audio and text datasets. This work directly influences how data is collected, processed, and transformed into training assets for AI innovation.
Role Context and Impact
This position is situated at the intersection of software engineering, data infrastructure, and applied AI. The engineer will contribute to enhancing the cost-effectiveness, scalability, and efficiency of data systems, while also helping to define the roadmap for dataset development. The environment is fast-paced, highly collaborative, and technically focused, offering significant ownership and autonomy. This is an opportunity to shape foundational infrastructure utilized by millions of users globally.
Key Responsibilities
- Build, maintain, and scale large-scale data ingestion and acquisition systems supporting AI model training and product development.
- Design and extend cloud-based infrastructure, optimizing data pipelines for efficient processing of high-volume datasets across distributed systems.
- Collaborate with AI scientists and engineering teams to improve data quality, reduce costs, and increase throughput for training workflows.
- Identify and integrate new external data sources, including audio and web-based datasets, into production pipelines.
- Contribute to defining dataset strategy and architectural decisions for long-term scalability and reliability of infrastructure systems.
Required Qualifications and Experience
The ideal candidate possesses strong software engineering experience, with a focus on distributed systems, data infrastructure, or backend engineering in production environments. Proficiency in Python and Linux-based development workflows is essential, along with familiarity with cloud platforms like GCP and infrastructure-as-code tools such as Terraform. Experience with Docker, large-scale data pipelines, or web crawling systems is highly valued. Candidates should be comfortable working in fast-paced, ambiguous environments and managing multiple priorities. Strong communication and cross-functional collaboration skills are required. A background in Computer Science or a related technical field is expected, demonstrating a proven ability to build reliable and scalable systems.
- 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).
Work Environment and Collaboration
This role operates within a fully distributed environment. The engineer will work closely with AI scientists and engineering teams, requiring strong communication and collaboration skills to ensure effective teamwork and project success. The work is deeply technical and fast-moving, emphasizing strong ownership and autonomy.
Requirements
- Requires 5-10 Years experience
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