Staff Java Engineer

unitQ; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Flexible/unlimited vacation

Comprehensive medical, dental, and vision

401(k) plan

Life insurance and FSA plans

Stock options

Equinox gym membership or wellness stipend

Job summary

unitQ is looking for a Senior Backend Software Engineer in San Francisco. The successful candidate will be a self-starter with a strong background in coding, particularly with Java and AI solutions. This role involves building and maintaining a microservice architecture and collaborating with cross-functional teams to drive platform capabilities.

The ideal applicant will have 5+ years of experience, expertise in Kubernetes, Spring Boot, and a commitment to coding best practices. Benefits include flexible vacation, health insurance, and stock options.

Qualifications

• 5+ years of software engineering experience, with a strong emphasis on Java.
• Experience with AI-driven features and services.
• Proficient in building and maintaining microservices.

Responsibilities

• Develop and maintain AI-driven features and services.
• Design and implement scalable data structures and pipelines.
• Build and own API services to handle large amounts of data.
• Collaborate with cross-functional teams.

Skills

Java

Kubernetes

AI solutions

Agile methodologies

Git

Spring Boot

Hibernate

Job description

About The Opportunity

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.

Role Responsibilities

• 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

About you

• 5+ years of software engineering experience; Java knowledge required
• Demonstrated enthusiasm for applying AI solutions and tools to solve complex, real‑world problems
• Develop and maintain Java microservices, libraries, automated tests, and build scripts
• 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
• Write thorough documentation and specifications with clean APIs, architecting scalable solutions capable of processing millions of new data points daily
• 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
• Apply and advocate for healthy coding practices, AI as a software copilot, Agile methodologies, and communication strategies

Nice to have

• Familiarity with Large Language Models (LLMs) and their practical applications
• Experience in processing large amounts of data and working with databases

Benefits

• Flexible/unlimited vacation
• Comprehensive medical, dental, and vision
• 401(k) plan
• Life insurance and FSA plans
• Stock options
• Equinox gym membership or wellness stipend

At unitQ, diversity drives innovation. We celebrate and welcome employees of different backgrounds, cultures, perspectives, and experiences. We’re committed to fostering an inclusive environment as our team grows.

If you’re passionate about leveraging AI to drive product quality and want to work in a fast‑paced, collaborative setting, we’d love to hear from you!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.