Project Summary: Football team Mobile App Development

Objective: Design and develop a cutting-edge mobile application for the Football team to enhance fan engagement, optimize monetization, and deliver seamless stadium and remote experiences. This app aims to be an industry leader in technical capability and user interaction.

Project Scope:

Architecture Development: Create a scalable, cloud-based infrastructure that can support millions of concurrent users and integrate with existing systems like Ticketmaster and VenueNext.

Machine Learning Integration: Implement ML models for personalized content recommendations and user experience optimization.

Data Integration & Management: Develop efficient data pipelines for real-time processing and ensure seamless data integration across the tech stack.

Compliance & Security: Ensure the architecture adheres to WCAG, GDPR, and CCPA standards, implementing strong security protocols.

Cross-Platform Experience: Collaborate with UI/UX teams to deliver a consistent, high-quality user experience across iOS, Android, and tablets.

Responsibilities:

Data Architecture and Integration:

Develop and maintain scalable, cloud-based data architecture using AWS services, including Glue, Lambda, S3, and Redshift.

Implement ETL processes and real-time data pipelines for efficient data handling and integration.

Machine Learning Development:

Build, train, and deploy machine learning models using SageMaker, scikit-learn, XGBoost, and TensorFlow to personalize app experiences and improve engagement.

Manage ML pipelines and maintain a model registry for version control and efficient model deployment.

Automation and Monitoring:

Utilize AWS Step Functions and CloudWatch for orchestrating and monitoring workflows and ensuring system reliability.

Implement CI/CD practices using CodePipeline and CodeBuild to streamline development and deployment processes.

Infrastructure and Security Management:

Leverage Terraform for provisioning and managing cloud infrastructure; ensure security and compliance through IAM best practices.

Employ Docker for containerization and efficient resource management across development environments.

Collaboration and Optimization:

Work closely with UI/UX designers and developers to integrate data-driven features and optimize app functionality across platforms.

Generate actionable insights from data analysis to inform strategic decision-making and enhance user engagement.

Qualifications:

Proficiency in Python and SQL for developing scalable data solutions.

Extensive experience with AWS cloud services, particularly in the areas of data integration, machine learning, and infrastructure management.

Strong expertise in machine learning frameworks and tools, with practical experience in deploying models in production environments.

Familiarity with CI/CD practices and tools for automating development and deployment tasks.

Problem-Solving: Exceptional analytical and problem-solving abilities, with a meticulous attention to detail and a proven capacity to diagnose and resolve complex issues under pressure.

Communication: Excellent written and verbal communication skills in English, with the ability to articulate complex technical concepts to both technical and non-technical audiences.

Collaboration & Autonomy: A proactive, self-starter mentality with a strong sense of ownership, capable of working independently while also collaborating effectively with cross-functional teams, including those in US time zones.

Professional Maturity: The ability to proactively identify and escalate risks, ask for help when needed, and maintain composure to de-escalate challenging situations.

Innovation & Guidance: A forward-thinking mindset to propose innovative solutions, improve the Software Development Lifecycle (SDLC), and guide non-technical stakeholders.

Start date: ASAP

Duration: 1,5-3 months!!!

HackerRank Challenge: Yes

Remote vs Onsite: Remotely

US Hours overlap needed?: Minimum 2-6pm CET, preferred 2-7pm CET

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