Lead Architect

Bigabid is an innovative technology company led by data scientists and engineers devoted to mobile app growth. Our proprietary ad platforms powered by machine learning are the outcome of that devotion.

We deliver valuable results and insights for a fast-growing clientele of major app developers using elite programmatic user acquisition and retargeting technologies.

Our ever-evolving, state-of-the-art machine learning technology analyzes tens of TB of raw data per day to produce millions of ad recommendations in real-time. This data is used to power our Machine Learning predictions, business-critical metrics, and analytics used to power our decision-making.

We are seeking a seasoned Lead Architect to design and build scalable, robust systems from end to end. Our system handles various ML and DL models, processes 100+TB of new data daily, supports hundreds of millions of daily active users, and manages billions of requests per day.

The successful candidate will implement cloud architecture best practices on AWS, lead the deployment of machine learning models in this high-scale real-time environment, and collaborate with cross-functional teams to ensure seamless integration and top performance.

Responsibilities:

• Design and architect scalable, robust systems from end-to-end
• Implement best practices and creative solutions in cloud architecture on AWS
• Lead the deployment of machine learning models into a production high-scale real-time environment
• Work closely with back-end, front-end, data engineering, ml-engineering, data-science teams to ensure seamless integration
• Drive discussions and provide guidance on architecture best practices, mentoring other team members when necessary
• Assess and address technical risks and potentials
• Review code for quality, performance, and scalability
• Collaborate with stakeholders and product managers to translate business needs into system architecture
  
  

• A minimum of 15 years of experience in software architecture
• Excellent communication skills, both verbal and written
• Highly organized and able to manage multiple tasks and projects simultaneously
• Strong background in back-end development
• Versatility with several programming languages such as Java, Python, C++, JS, Rust, Go, etc.
• Vast experience with AWS
• Strong problem-solving skills and attention to detail
  
  

• Some experience with front-end technologies like React, Angular, or Vue
• Experience with real-time / high availability / high throughput systems
• Familiarity with data engineering tools and platforms
• Experience with containerization and orchestration tools like Docker and Kubernetes