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 United Arab Emirates.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.AccountabilitiesYou 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.Build and maintain scalable data ingestion and processing pipelinesExtend cloud infrastructure (GCP) using Infrastructure-as-Code toolsIdentify and integrate new data sources into acquisition systemsCollaborate with research and AI teams to improve dataset quality and efficiencyOptimize systems for cost, throughput, and reliability at scaleContribute to architecture and roadmap decisions for data infrastructureRequirementsThe 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.5+ years of software engineering experienceStrong 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 developmentExposure to large-scale data pipelines or web crawling systems (preferred)Strong problem-solving and system design skillsExcellent communication and cross-functional collaboration abilitiesDegree in Computer Science or related technical field (BS/MS/PhD)BenefitsCompetitive base salary with bonus and equity opportunitiesFully remote, distributed-first work environmentHigh-impact role working on AI systems used at global scaleOpportunity to shape foundational data infrastructure for ML modelsCollaborative, engineering-driven culture with strong autonomyAccess to cutting-edge AI and data engineering technologiesFast-paced environment with ownership over meaningful technical problemsWork on a product that improves accessibility and learning experiences worldwideHow Jobgether WorksWe 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! Why Apply Through Jobgether?Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.