Live opening · Posted 11 days ago
The key details from the original listing.
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Description supplied by the original job listing.
Responsibilities:
Development and Integration: Build and integrate APIs from major ad platforms (Meta, Google Ads, YouTube, etc. ) for seamless campaign data ingestion.
Backend Architecture: Design and scale backend systems using Python, Node.js, or similar technologies.
Data Engineering: Ingest, transform, and manage structured and unstructured data to fuel AI-driven insights.
Performance Optimisation: Fine-tune databases and backend pipelines for speed and scalability.
Automation and Reliability: Implement testing, monitoring, and CI/CD best practices.
Cross-Functional Collaboration: Work with product, design, and AI/ML teams to build high-impact features.
Documentation: Maintain clear, developer-friendly documentation for APIs, workflows, and architecture.
Requirements:
3+ years of backend or full-stack development experience.
Strong proficiency in Python, Node.js, or both.
Experience with RESTful APIs, GraphQL, and third-party integrations (Meta, Google Ads, YouTube).
Proficiency with PostgreSQL, MongoDB, or similar databases.
Familiarity with AWS / GCP / Azure and DevOps tools like Docker, Kubernetes, and CI/CD pipelines.
Understanding of LLMs and Agentic systems.
An analytical mindset with strong debugging and optimisation skills.
Excellent communication and attention to detail.
Bonus: Exposure to AI/ML, data engineering, or ad-tech ecosystems.
Understanding of creative analytics or marketing attribution.
Experience
3-7 yrs
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