Principal Engineer verifying AI/HPC ASIC systems at Marvell. Leading verification efforts for complex SoCs and collaborating with global teams.
About the role
- Intermediate Software Engineer contributing to proprietary e-commerce software development in a collaborative environment. Ownership of features and services across microservices architecture.
Responsibilities
- Take ownership of components within our microservices architecture — design, develop, enhance, and maintain them with quality and reliability in mind.
- Translate business and product requirements (sometimes ambiguous) into clean, well-structured technical solutions.
- Estimate work effort and contribute meaningfully to project planning and delivery timelines.
- Dive into a large, multi-service codebase quickly — comprehend existing patterns and begin contributing in a short ramp-up period.
- Collaborate with engineers across teams to identify gaps, surface risks early, and drive technical decisions to resolution.
- Write unit and integration tests; uphold code quality standards through code reviews and automation.
- Support production systems and assist our 3-tier support staff when incidents arise.
- Proactively use AI developer tools (e.g., GitHub Copilot, Claude, Cursor) to accelerate development, improve code quality, and reduce repetitive work.
- Perform other duties as assigned.
Requirements
- 3–5+ years of professional software development experience in a multi-team environment.
- .NET Framework / .NET Core / C# – developing APIs, services, and back-end business logic.
- React – Understanding & hands on component-driven front-end applications.
- Containers – hands-on experience with Docker; familiarity with container orchestration concepts.
- Cloud – Microsoft Azure – working knowledge of Azure services (App Services, Azure SQL, Storage, Service Bus, or equivalent).
- Databases – proficiency with SQL Server and/or PostgreSQL; experience with schema design, query optimization, and performance tuning.
- RESTful API design – building and consuming well-structured, versioned APIs.
- Solid understanding of Agile / Scrum practices and the full software development lifecycle.
- Demonstrated use of AI-assisted development tools (GitHub Copilot, Claude, Cursor, or similar) as part of everyday engineering workflow.
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