Veloscope

Backend Engineering Intern Location: Remote Type: Paid Internship Full-time 36 months Stipend: ?7,000 ?10,000 per month About Eventforce.ai Eventforce.ai, powered by Veloscope, is revolutionizing the event industry by providing comprehensive, end-to-end infrastructure for events of all scalesfrom marathons and conferences to festivals and weddings. Our platform serves as the single source of truth for organizers, seamlessly integrating registration, ticketing, media capture, engagement, analytics, and customer data management. We&aposre committed to building scalable, reliable, and high-performance solutions that empower event creators worldwide. Join us in shaping the future of event technology. Position Overview As a Backend Engineering Intern, you&aposll play a pivotal role in developing and scaling our core backend services. This is an opportunity to gain hands-on experience with modern technologies in a fast-paced startup environment, contributing to real-world features that impact thousands of events globally. Key Responsibilities Design, develop, and optimize backend services using Python and FastAPI for critical features like registration, ticketing, analytics, and media management. Create and refine PostgreSQL database schemas to handle high-volume event data efficiently. Leverage Redis for caching, queuing, and real-time processes such as check-ins, photo uploads, and live analytics. Deploy and manage services on AWS infrastructure, including ECS, RDS, S3, Lambda, and CloudWatch. Build robust data pipelines for media processing and analytics. Collaborate closely with frontend, product, and cross-functional teams to deliver seamless end-to-end features. Ensure system scalability, resilience, and production readiness while meeting tight deadlines. Required Qualifications(Must have) Proven experience in Python development, with hands-on proficiency in FastAPI. Strong understanding of Databases such as PostgreSQL, including schema design, migrations, and performance optimization. Practical experience with Redis for caching, publish/subscribe messaging, and background task management is beneficial. Experience with Docker and CI/CD pipelines (e.g., GitHub Actions). Solid knowledge of RESTful APIs, authentication protocols (OAuth2/JWT), and security best practices. A startup-oriented mindset: adaptable, proactive, and thrives in high-pressure, dynamic environments. Preferred Qualifications (Nice to have) Expertise in observability tools like Sentry, Datadog, or OpenTelemetry for logging, metrics, and tracing. Familiarity with AWS services such as ECS, RDS, S3, and CloudWatch. Background in event technology, media workflows, or analytics platforms. Knowledge of Infrastructure-as-Code tools (e.g., Terraform or CDK). Experience scaling microservices in high-traffic, production settings. What We Offer A 36 month paid internship with exposure to impactful, real-world backend projects. Hands-on mentorship from seasoned Python engineers in a collaborative, innovative team. Cutting-edge experience in event technology, with opportunities for skill development and career growth. Potential for full-time employment based on outstanding performance. A remote, flexible work environment that values work-life balance and professional development. Startup Advantage : Experience the fast-paced culture of a growing startup, which can accelerate your career and open doors to exciting future opportunities. We do not consider degrees, gender, age, or any personal background factors in our hiring process. If you have the required skills, we encourage you to apply. We are committed to equal opportunity and fostering a diverse, inclusive workplace. To apply, please submit the following to [HIDDEN TEXT], An updated resume A cover letter highlighting relevant experience A FastAPI project you have built (e.g., GitHub repository link or description) Your portfolio A 90-120 second elevator pitch video or audio about yourself, showcasing your skills and passion and a solid reason to hire you. We look forward to hearing from you! Show more Show less