Software Engineer Intern

NWU; Seattle (WA); On-site; USD 52,000 - 62,000; Full time

Job summary

NWU is seeking a student-ambitious engineer to contribute to scalable cloud platform capabilities in Seattle. You will help build self-service tools, automate provisioning, and improve developer experiences across cloud environments.

Ideal candidates are pursuing a CS degree with exposure to databases, distributed systems, and AI-assisted coding tools. This role emphasizes reliability, security, and cost optimization, with hands-on collaboration on platform improvements.

Qualifications

• Pursuing a Bachelor's degree in Computer Science.
• Expected graduation December 2027 or May/June 2028.
• Experience with databases or storage.
• 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, observability, backup and recovery, or cost optimization.
• Familiarity with AI coding assistants and the ability to review, validate, and secure AI-generated code.

Responsibilities

• 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.

Skills

Databases

Cloud concepts

APIs & infra automation

Distributed systems

AI code review

Education

Pursuing Bachelor's in Computer Science

Tools

PostgreSQL

Redis

Azure

Google Cloud

Multi-cloud

Infrastructure automation

Job description

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)

Applicants must be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship. This position is not eligible for employment in Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia, and Wyoming.