Senior Product Engineer responsible for product design and development in mechanical and electrical engineering. Enhancing customer specifications and assuring product quality for mass production at Rogers Corporation.
About the role
- Senior Full-Stack Software Engineer developing AI-native platform for transforming organizational knowledge management. Responsible for end-to-end implementation using modern frameworks and architectures.
Responsibilities
- Design and implement modular, scalable backend services using NestJS and TypeScript
- Architect and build responsive front-end applications using Next.js, React, or Vue
- Integrate AI/LLM APIs into platform features, including prompt engineering and orchestration patterns
- Build and maintain CI/CD pipelines, infrastructure-as-code, and cloud-native deployments on AWS
- Translate product requirements into well-structured technical designs and decompose features into clean, independently deployable increments
- Enforce code quality through disciplined pull requests, peer reviews, and meaningful automated tests
- Ensure APIs are clearly documented and aligned with OpenAPI standards
- Contribute to architectural decisions, threat modeling, and DevSecOps practices within defined platform principles
- Participate actively in technical grooming, risk identification, and sprint planning
- Ability to obtain Clearance
Requirements
- 7+ years of full-stack development experience in production environments
- Deep proficiency in TypeScript across the entire stack
- Strong backend architecture experience using NestJS or comparable Node.js frameworks (Express, Fastify)
- Advanced experience with React, Next.js, or Vue for front-end development
- Experience designing, building, and scaling RESTful APIs
- Strong understanding of application state management, front-end performance, and responsive design
- PostgreSQL experience; familiarity with Prisma ORM preferred
- Active, daily use of AI-powered development tools (Cursor, Windsurf, Claude Code, GitHub Copilot, or similar)
- Experience integrating AI/LLM APIs (OpenAI, Anthropic, etc.) into production applications
- Understanding of prompt engineering, token management, and AI-augmented system design patterns
- Experience with AWS services (EC2, ECS/EKS, Lambda, S3, RDS, CloudFront, IAM)
- Hands-on experience with CI/CD pipelines (GitHub Actions, GitLab CI, or similar)
- Working knowledge of containerization (Docker) and orchestration (Kubernetes or ECS)
- Familiarity with infrastructure-as-code (Terraform, CDK, or CloudFormation)
- Experience working in structured Agile environments with clear Definition of Done standards
- Comfort operating in small, high-accountability teams with minimal oversight
- Strong written and verbal communication of technical decisions and tradeoffs
- Redis caching strategies and message queue architectures (preferred)
- Experience building SaaS or enterprise platform products (not just client projects) (preferred)
- Familiarity with federal compliance requirements (FedRAMP, NIST, ATO processes) (preferred)
- Experience with monorepo tooling (Nx, Turborepo) (preferred)
- Contributions to open-source projects or technical blog posts (preferred)
- Active security clearance (Secret or above) (preferred)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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