Engineering Intern - Retail Technology

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WHY JOIN ALO?

Mindful movement. It’s at the core of why we do what we do at ALO—it’s 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. That’s the real meaning of studio-to-street: taking the consciousness from practice on the mat and putting it into practice in life.

ALO brings together mindfulness, movement, and modern technology. Our retail experiences are thoughtfully designed, from studio to store to digital touchpoints, and powered by systems that must be as elegant as they are resilient.

As an intern at ALO, you won’t be observing the sidelines. You’ll help build technology that directly shapes how guests experience the brand every day. Here, innovation is rooted in purpose, craftsmanship, and impact.

OVERVIEW

At ALO, retail is more than a transaction—it’s an experience grounded in intention, movement, and connection. As a Retail Engineering Summer Intern, you’ll help build the technology that powers seamless in-store and omni-channel experiences for both customers and store associates.

This internship offers hands-on exposure to modern retail platforms, cloud-native systems, and data-driven decisioning, supporting capabilities such as Buy Online Pick In Store (BOPIS), Same Day Delivery (SDD), Ship-to-Store (STS), Ship-from-Store (SFS) and Point of Sale (POS) innovation. You’ll work alongside engineers, product managers, and retail operations leaders to deliver scalable solutions that directly impact how ALO shows up in physical and digital spaces.

This role is ideal for graduate students and early-career engineers who are excited about applying strong technical fundamentals to real-world retail challenges at scale.

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

• Develop and enhance microservices-based applications using Java and Python
• Build and deploy scalable, cloud-native solutions leveraging AWS services (Lambda, S3, DynamoDB, RDS, etc.)
• Support database design, optimization, and performance tuning using MySQL
• Collaborate with engineering and product teams to integrate systems that power omni-channel retail flows
• Contribute to POS feature enhancements that improve in-store associate efficiency and customer experience
• Participate in code reviews, debugging, and production issue troubleshooting
• Learn and contribute to CI/CD pipelines, API development, and cloud engineering best practices
• Create and maintain technical documentation; share learnings with the broader team

REQUIRED QUALIFICATIONS

• Currently pursuing or recently completed a BS or MS in Computer Science, Software Engineering, or a related technical field
• Hands-on experience with Java and Python
• Foundational understanding of microservices architecture and RESTful APIs
• Familiarity with AWS cloud services and relational databases such as MySQL
• Strong problem-solving mindset with the ability to thrive in a fast-paced environment
• Clear communication skills and a collaborative, team-first approach

PREFERRED QUALIFICATIONS

• Exposure to retail, eCommerce, or omni-channel systems
• Experience with cloud-native development, distributed systems, or event-driven architectures
• Interest in data-driven systems, analytics, or AI-enabled decisioning within retail workflows
• Prior internship, academic project, or hands-on experience building production-grade software

WHAT YOU'LL LEARN / GROWTH OPPORTUNITIES

• How modern retail platforms support real-time inventory visibility, fulfillment, and store execution
• Practical experience building scalable, cloud-based services used across physical and digital channels
• Exposure to the intersection of engineering, retail operations, and customer experience design
• Best practices for working in agile teams, from concept through deployment
• Mentorship from experienced engineers and technology leaders in a high-growth environment

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.

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