Digital Engineering Intern

WHY JOIN ALO

Mindful movement. Its at the core of why we do what we do at ALOits our calling. Because mindful movement in the studio leads to better living. It changes who yogis are off the mat making their lives and their communities better. Thats the real meaning of studio-to-street: taking the consciousness from practice on the mat and putting it into practice in life.

OVERVIEW

ALOs Digital Engineering team is looking for a highly motivated Graduate or PhD-level Intern with strong foundations in computer science and modern internet-scale systems. This role is designed for candidates who want hands-on experience building and scaling server-side systems cloud-native services and AI-assisted development workflows in a real-world production environment.

You will work closely with senior engineers on designing developing and optimizing distributed systems that power ALOs digital platforms.

The ALO internship programs starts June 8th and ends July 31st. Interns will be working 40 hours a week at our San Ramon CA office.

RESPONSIBILITIES

• Design develop and test server-side components and APIs
• Assist in building and scaling distributed cloud-based systems
• Collaborate with senior engineers on architecture and implementation decisions
• Apply AI-assisted coding tools to improve productivity and code quality
• Write clean maintainable and well-documented code
• Participate in code reviews and technical discussions

MINIMUM QUALIFICATIONS

• Masters degree in computer science Software Engineering or a related field OR PhD candidate in Computer Science or a closely related discipline
• Strong understanding of Internet fundamentals including:
  • HTTP/HTTPS
  • RESTful APIs
  • Web protocols and networking basics
• Solid experience with server-side programming
• Proficiency in at least one modern programming language such as:
  • Java (preferred)
  • Python
  • Go
  • C
• Strong conceptual understanding of:
  • Distributed systems
  • Concurrency and scalability
  • Fault tolerance and system reliability
• Working knowledge of cloud architecture with emphasis on AWS including services such as:
  • EC2 S3 RDS/DynamoDB
  • Lambda
  • API Gateway
  • IAM VPC (conceptual understanding acceptable)
• Exposure to AI/ML-assisted development including:
  • Using AI tools for code generation refactoring or testing
  • Understanding strengths and limitations of AI-generated cod

PREFERRED QUALIFICATIONS

• Hands-on experience building or deploying cloud-native applications
• Familiarity with:
  • Microservices architecture
  • Containerization (Docker Kubernetes a plus)
• Experience working with:
  • Version control systems (Git)
  • CI/CD pipelines
• Coursework or research in:
  • Distributed computing
  • Cloud systems
  • Machine learning or applied AI
• Strong problem-solving skills and ability to reason about system design trade-offs

WHAT YOULL GAIN

• Hands-on experience with production-scale systems
• Exposure to modern cloud architecture on AWS
• Practical application of AI/ML tools in software development
• Mentorship from experienced engineers in a fast-paced digital team
• Opportunity to make real impact on Alos digital platforms

The base pay range for this position is $45/hr-$50/hr which represents the current range for the non-exempt position. Please note that actual pay will vary based on factors including but not limited to location experience and performance.