Staff Java Engineer

• We are looking for an experienced Senior Backend Software Engineer with the skills, energy, and passion for coding to be a key contributor on our growing team
• You are a motivated self-starter, able to learn quickly, incorporate AI development tools, and communicate effectively
• You will be responsible for building and maintaining our microservice architecture, owning services that power our core product offering
• You will use your skills in Java, Kubernetes, and cloud-native development to deliver high-quality, efficient, and testable code
• Develop and maintain AI-driven features and services
• Design and implement scalable data structures and pipelines
• Build and own API services to securely handle a large amount of data
• Collaborate closely with cross-functional teams to enhance platform capabilities

Benefits

• Flexible/unlimited vacation
• Medical coverage through BlueSheild and Kaiser
• Dental and Vision coverage through Beam
• 401(k) Plan
• Life insurance
• FSA and Dependent Care FSA Plans
• $50/month internet/cell phone/equipment reimbursement
• Generous leave policies
• Thrive Market - company paid membership and $50/month stipend (for remote US employees only)
• Equinox Gym Memberships - No Equinox near you? We offer a monthly stipend instead! (In place of an Equinox membership, we can offer $100/month as a wellness benefit)
• Continuing education reimbursement
• Stock Options
• Snacks and dog friendly office environment

• Develop and maintain Java microservices, libraries, automated tests, and build scripts
• Apply and advocate for healthy coding practices, AI as a software copilot, Agile methodologies, and communication strategies
• 5+ years of software engineering experience; Java knowledge required
• Expertise with unitQ tech stack, including Spring Boot, Hibernate, Git, and Kubernetes
• Perform code reviews and evaluate pull requests, helping other engineers debug and resolve problems
• Work directly with managed and unmanaged cloud services, including databases, data streams, message queues, container orchestrators, job automation systems, and continuous build, integration, and deployment systems
• Write thorough documentation and specifications with clean APIs, architecting scalable solutions capable of processing millions of new data points daily
• Demonstrated enthusiasm for applying AI solutions and tools to solve complex, real-world problems
• Familiarity with Large Language Models (LLMs) and their practical applications
• Experience in processing large amounts of data and working with databases