Java Software Engineer

Lineate is a US-based international software development company with over two decades of experience.

From Intelligent Document Processing(IDP) and Agentic RAG systems to scalable cloud architectures, we turn complex ideas into real, measurable results.

We deliver AI-driven custom solutions for FinTech, HealthTech, AdTech, and beyond, empowering businesses to grow smarter, faster, and more efficiently.

Our expertise falls into three main categories:

• Building Custom AI Solutions: Deploying high-impact, AI-enabled technology utilizing IDP, Agentic RAG.
• Cloud and Data Infrastructure: Optimizing business operations with our data management and cloud computing solutions.
• Team Augmentation: Providing specialized experts in FinTech, AdTech, and HealthTech to integrate seamlessly and accelerate project timelines.
• Our goal is not just to build technology, but to build the future operating model for our clients.

We are looking for a Backend Software Engineer to join a US MedTech project focused on a large-scale, data-intensive healthcare platform.

The backend powers complex healthcare data processing and search functionality, including provider search, filtering, availability and location-based results.

The core technology stack includes Java, Spring Boot, REST APIs, SQL/Oracle, and Apache Solr/SolrCloud. The project combines hands-on backend development with search optimization, platform modernization, automated testing, and infrastructure reliability.

AI-assisted development is also an integral part of the engineering workflow. The team uses Kiro, GitHub Copilot, and comparable coding agents in a structured, human-supervised process — from requirements and technical design through implementation, testing, and code review.

• Enhance healthcare provider search functionality, including filtering, sorting, suppression rules, facets, provider counts, and response fields.
• Improve geo-aware search, distance sorting, map behavior, and fallback logic.
• Expand automated regression and integration testing for search functionality.
• Continue backend service and shared-library modernization, including the Spring Boot 4 migration.
• Develop and maintain Solr/SolrCloud environments, indexing processes, snapshot/restore capabilities, and monitoring.
• Improve CI/CD, performance testing, build processes, and code-quality tooling.
• Resolve data-quality issues and enhance backend APIs.
• Develop reusable AI engineering instructions, skills, and workflows for the development team.

• →Develop and maintain backend services using Java and Spring Boot.
• →Design, implement, and evolve REST APIs.
• →Work with complex business logic and large volumes of structured healthcare data.
• →Develop and optimize search functionality using Apache Solr/SolrCloud.
• →Work with SQL/Oracle, data pipelines, and service integrations.
• →Maintain interconnected services, shared libraries, and external API integrations.
• →Write and maintain unit, integration, and regression tests.
• →Work with Gradle, static analysis, and code-quality tooling.
• →Participate in Java/Spring Boot platform modernization and dependency upgrades.
• →Troubleshoot search, indexing, build, integration, and environment issues.
• →Use Kiro, GitHub Copilot, or comparable coding agents as part of day-to-day development.
• →Create requirements, technical designs, and implementation plans before AI-assisted coding.
• →Review AI-generated code, identify deviations from requirements, and validate results through builds and automated tests.
• →Maintain useful AI engineering context, including repository instructions, coding guidance, and scoped agent instructions.
• →Produce clear implementation, QA, and code-review documentation.

• Strong commercial experience with Java.
• Strong hands-on experience with Spring Boot.
• Experience designing and developing REST APIs.
• Strong SQL skills and practical experience with Oracle or comparable relational databases.
• Experience building complex, data-driven backend applications.
• Hands-on experience with Apache Solr/SolrCloud or another search and indexing platform.
• Strong automated-testing practices, including unit and integration testing.
• Experience with Gradle and static code-quality tools.
• Experience working with interconnected services, shared libraries, and external API integrations.
• Hands-on experience with Kiro, GitHub Copilot, or comparable AI coding tools/agents.
• Ability to work within a disciplined AI-assisted development process: plan → review/approve → implement → test → report.
• Ability to critically review AI-generated solutions rather than treating AI as a black box.
• Ability to produce clear technical, QA, and code-review documentation.

• Experience with Jenkins and CI/CD pipelines.
• Experience with Ansible or other configuration-management tools.
• Experience with Solr infrastructure and search-index reliability.
• Experience with major platform or framework migrations.
• Experience in MedTech, healthcare, or other complex data-intensive systems.