Software Engineer Intern

Shine BrightX LLC; Seattle (WA); Presencial; USD 52.000 - 62.000; Jornada completa

Descripción de la vacante

Shine BrightX LLC is seeking a student intern to contribute to the development and improvement of scalable cloud platform capabilities and automation. You will help build self-service tooling, support multi-cloud environments, and write maintainable code with thorough documentation.

The role emphasizes reliability, security, cost awareness, and collaboration with cross-functional teams to deliver platform improvements and operational tooling, while gaining hands-on experience with AI-assisted

Formación

• Pursuing a Bachelor's degree with a focus in Computer Science.
• Expected graduation in December 2027 or May/June 2028.
• Experience with databases or storage.
• Familiarity with PostgreSQL, Redis or caching, Key/Value stores, Blob storage, or messaging systems.
• Exposure to Azure, Google Cloud, multi-cloud platforms, APIs, or infrastructure automation.
• Understanding of distributed systems, data-plane or control-plane concepts, or storage access patterns.
• Interest in reliability, security, observability, backup and recovery, or cost optimization.
• Familiarity with AI coding assistants and the ability to review, validate, and secure AI-generated code.

Responsabilidades

• Contribute to the development and improvement of scalable cloud platform capabilities.
• Help build self-service tools and automation that simplify infrastructure provisioning and management.
• Support solutions that provide a consistent developer experience across multiple cloud environments.
• Develop and maintain reliable, secure, compliant, and cost-effective platform services.
• Assist with monitoring, operational tooling, backup and recovery, and disaster-recovery capabilities.
• Collaborate with cross-functional engineering teams to design and deliver platform improvements.
• Support modernization, migration, and adoption initiatives for cloud-based technologies.
• Write clean, testable, and maintainable code, along with clear technical documentation.
• Participate in technical design discussions, code reviews, testing, troubleshooting, and continuous improvement.
• Use AI-assisted engineering tools responsibly to explore solutions, develop code and tests, and improve documentation.

Conocimientos

Cloud platforms

Databases

Distributed systems

AI coding assistants

Code review

Reliability

Educación

Bachelor's degree in Computer Science

Herramientas

PostgreSQL

Redis

Blob storage

Messaging systems

Descripción del empleo

Your Role

Here’s what you will be doing:

• Contribute to the development and improvement of scalable cloud platform capabilities
• Help build self-service tools and automation that simplify infrastructure provisioning and management
• Support solutions that provide a consistent developer experience across multiple cloud environments
• Develop and maintain reliable, secure, compliant, and cost-effective platform services
• Assist with monitoring, operational tooling, backup and recovery, and disaster-recovery capabilities
• Collaborate with cross-functional engineering teams to design and deliver platform improvements
• Support modernization, migration, and adoption initiatives for cloud-based technologies
• Write clean, testable, and maintainable code, along with clear technical documentation
• Participate in technical design discussions, code reviews, testing, troubleshooting, and continuous improvement
• Use AI-assisted engineering tools responsibly to explore solutions, develop code and tests, and improve documentation

About You

The company is looking for:

• Currently pursuing a Bachelor's degree with a focus in Computer Science
• Expected graduation in December 2027 or May/June 2028
• Experience with databases or storage
• This role is not eligible for CPT, OPT or sponsorship now or in the future
• Familiarity with PostgreSQL, Redis or caching, Key/Value stores, Blob storage, or messaging systems
• Exposure to Azure, Google Cloud, multi-cloud platforms, APIs, or infrastructure automation
• Understanding of distributed systems, data-plane or control-plane concepts, or storage access patterns
• Interest in reliability, security, compliance, observability, backup and recovery, or cost optimization
• Familiarity with AI coding assistants and the ability to review, validate, and secure AI-generated code

Compensation & Benefits

• Hourly base salary range of $38 - $45 depending on location and experience (Washington, Maryland, New Jersey, New York including NYC metro area)