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

Requirements:

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

Preferred Skills:

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

Excerpt:

Design and build scalable, robust systems from end to end. Implement cloud architecture, 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