Software Engineer

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.