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Job Summary:
A Software Development Intern will work with engineers and mentors to design, build, test, and ship enhancements to our financial SaaS platform. You’ll contribute to backend services built with Java and Kotlin, work with both relational and NoSQL data stores (SQL Server, PostgreSQL, DynamoDB), and gain hands-on experience building and operating cloud-native systems on AWS.
Responsibilities
- Learn the team’s tools, coding standards, and development workflow (Git, ticketing, CI/CD) with mentor support.
- Collaborate across the software development lifecycle: requirements, design, implementation, testing, and release.
- Implement well-scoped features and bug fixes in Java/Kotlin, following established patterns and best practices.
- Write, review, and optimize queries and data-access code for SQL Server and PostgreSQL.
- Contribute to data modeling and access patterns for DynamoDB (partition/sort keys, query vs. scan, performance considerations).
- Build and maintain automated tests (unit and/or integration) and verify changes meet acceptance criteria.
- Participate in design and code review discussions; communicate tradeoffs (performance, reliability, security, maintainability).
- Support AWS-based development activities such as reviewing logs/metrics, investigating issues, and assisting with deployments (scope based on experience).
- Document technical changes and operational notes to improve maintainability and support.
Required Skills
- Coursework or project experience with Java or Kotlin and object-oriented programming fundamentals.
- Working knowledge of SQL and relational database concepts (tables, joins, indexes, transactions).
- Strong problem-solving, analytical thinking, and attention to detail.
- Ability to communicate clearly and collaborate effectively on a team.
- Openness to feedback and willingness to learn quickly.
Preferred Qualifications
- Experience with both SQL Server and/or PostgreSQL (query tuning, indexing, migrations).
- Familiarity with DynamoDB/NOSQL concepts (key design, throughput, eventual consistency).
- Exposure to AWS services such as IAM, CloudWatch, S3, EC2, ECS/EKS, Lambda, or RDS/Aurora.
- Experience with Git and pull request workflows; familiarity with CI/CD.
- Exposure to backend frameworks and APIs (e.g. REST/JSON).
- Knowledge of AI coding assistant tools.
- Familiarity with testing tools (e.g., JUnit) and basic debugging practices.
Education
- Currently pursuing a 4 year degree in Computer Science, Software Engineering, or a related field.
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Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
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- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
