About The Position
KMS Lighthouse is a global software (SaaS) company that drives smarter, better business interactions with its knowledge management solutions. We use advanced technologies and take an innovative approach to building knowledge management solutions. This is an amazing opportunity to join a hyper-growing company and to make a real impact!
KMS Lighthouse is an industry leader in knowledge management, working with Fortune 500 enterprise-level customers. If you're interested in the intersection of technology, innovation, and knowledge, this is the place to be.
We are growing our R&D center, and we are looking for Backend Lead Developer (Java/Kotlin) to join our team:
- Work as part of a small agile development team, under the global development department
- Use advanced technologies and tools such as Java/Kotlin, Spring, Docker/Kubernetes, OpenAI, paid AI development tools
Responsibilities
- Lead task breakdown and architecture design for new features.
- Develop, test, and deploy solutions using industry-standard tools.
- Provide technical leadership and mentorship to team members.
- Conduct code reviews to ensure quality and best practices.
- Create and maintain technical documentation.
- Collaborate with other Lead Developers on product architecture decisions.
Requirements
- 5+ years of experience in Software Engineering.
- 4+ years of development experience with Java or Kotlin.
- Proficiency in Spring Framework.
- Hands-on experience using Hibernate, jOOQ, or a similar framework.
- Hands-on experience with async service architectures using Kafka, RabbitMQ, or similar products.
- Good understanding of security flows in service architectures using OAuth, SAML, or similar protocols.
- Familiarity with Scrum and an Agile development environment and tools like Jira.
- Strong written and verbal communication skills, including the ability to author technical specifications and lead architecture discussions.
Advantages
- Prior experience as a Tech Lead, with a track record of driving architecture decisions and mentoring engineers.
- Hands-on experience integrating LLM/AI APIs into production backend services, or active use of AI tools such as Claude in an engineering workflow.
- Familiarity with multi-tenant SaaS architecture and enterprise customer environments.
- Experience with knowledge management, search, or content delivery systems
