Back End Engineer / Intern

Company Description Riverhead Software is committed to excellence and innovation through teamwork and collaboration. Our diverse team of engineers, designers, and strategists work together to craft elegant solutions to complex problems. At Riverhead, we consider ourselves partners in your success, aligning our

with your business objectives to create impactful software that drives real value. You will be working on https://klakar.com as your first project. Role Description We are now looking for a strong Back-End Engineer / Intern, who can take ownership, build clean systems, and ship fast. • Build scalable services using Java, Spring Boot, JPA/Hibernate, and modular micro-service patterns. • Contribute to high-performance APIs, event-driven services, and distributed systems. • Design, optimize, and maintain PostgreSQL/MySQL schemas and queries. • Collaborate closely with product and founders on architecture and feature development. • Write clean, testable, maintainable code with strong focus on performance and reliability. • Own deployment pipelines using Docker, AWS (EC2, S3, RDS), CI/CD pipelines (GitHub Actions). • Participate in technical planning, code reviews, and system architecture. • AI/ML knowledge or experience is a big plus. • Can use AI tools (Claude, Codex etc.) efficiently with full ownership of the work delivered. Tech Stack We Use • Backend: Java, Spring Boot, JPA, Hibernate, Maven • Database: PostgreSQL, MongoDB, Redis • Cloud & DevOps: AWS (EC2, S3, CloudFront, RDS), Docker, GitHub Actions • Other: Kafka / Redis experience is a plus You’re a Great Fit If You • Have 1–5 years of experience in Back-End development (No experience is okay for Interns). • Write clean, modular, production-ready code. • Understand API design, micro-services, and database modeling. • Can take ownership of features end-to-end. • Are comfortable working in a fast-moving product environment. • Have strong problem-solving skills and a builder’s mindset. • Bonus points if you’ve worked on: event-driven systems, authentication flows, or large–scale architectures.