Senior Development Engineer (Core Engine)

Office Ally•Concord, CA

1d•Hybrid

About The Position

This is an opportunity to join a growing company transforming healthcare technology through modern electronic billing, payments, and secure data exchange solutions across the Property & Casualty and Healthcare industries. As a Senior Full Stack Development Engineer, you will play a key role in designing, building, and maintaining scalable applications and APIs that power mission-critical healthcare and insurance workflows. This role focuses on backend architecture, service development, data processing, and system integration, ensuring high performance, reliability, and maintainability across platforms. You will work across multiple initiatives, partnering with product, engineering, and implementation teams to deliver robust backend capabilities that support complex transaction processing and customer integrations. You will also leverage modern engineering practices, including AI-assisted development tools (Claude Code, GitHub Copilot) to improve development speed and efficiency, and apply modern testing approaches such as automated API and workflow validation (e.g., Playwright, where applicable) to ensure system reliability. This role is central to building and maintaining the backend systems that power our core products and integrations. You will directly impact system scalability, reliability, and performance across multiple customer-facing and internal platforms. Your work will help ensure that complex healthcare and insurance transactions are processed accurately, efficiently, and securely at scale. This is a hybrid role based in Concord, California, with an expectation of working in the office at least two days per week.

Requirements

Bachelor’s degree or equivalent experience in Computer Science or related field
8+ years of backend software engineering experience
Strong experience in Java and backend service development
Solid understanding of RESTful APIs and distributed systems design
Experience with Spring Boot or similar backend frameworks
Strong SQL experience (Oracle preferred) and familiarity with NoSQL databases
Experience working with cloud platforms (AWS, Azure, or GCP)
Experience and passion around working with AI: Copilot, Claude, Windsurf, Gemini Code, or similar
Experience with containerization (Docker) and orchestration (Kubernetes)
Familiarity with CI/CD pipelines (Jenkins or similar tools)
Deep understanding of Agile development methodologies
Experience building maintainable, scalable backend systems

Nice To Haves

Experience in healthcare, insurance, or financial services systems
Exposure to high-volume transaction processing or integration-heavy environments
Experience with event-driven architectures or messaging systems (Kafka, RabbitMQ, etc.)
Familiarity with Elastic Cloud
Experience with API testing or workflow automation tools (Playwright, Postman, etc.)
Knowledge of system observability tools (ELK, Prometheus, Datadog, Grafana, etc.)
Strong debugging and production troubleshooting skills
Experience working with sensitive data and compliance requirements (HIPAA / PHI / PII)
Strong communication skills and ability to collaborate across technical and non-technical teams

Responsibilities

Design, develop, and maintain backend services, APIs, and core platform components
Build scalable systems using Java and Spring Boot or similar frameworks
Develop and support RESTful APIs and service integrations across internal and external systems
Participate in system design and architecture discussions for scalable backend solutions
Work closely with product, implementation, QA, and engineering teams to define technical requirements
Support complex data processing, transformation, and integration workflows
Ensure backend systems are secure, reliable, and performant under high transaction volumes
Utilize Claude to support development, accelerate problem-solving, and improve productivity while maintaining high code quality.
Contribute to CI/CD pipelines, deployment automation, and DevOps practices
Write clean, maintainable, and testable code with strong unit and integration test coverage
Apply modern engineering practices, including shift-left testing and continuous quality improvement
Use AI-assisted development tools (Claude Code, Copilot, etc.) to accelerate development, debugging, and analysis
Improve system observability through logging, monitoring, and diagnostics enhancements
Troubleshoot production and integration issues as needed