Java Engineer

About unitQ At unitQ, we leverage AI and advanced analytics to enable businesses to proactively monitor and improve product quality based on real-time user feedback from both public and private channels.   Backed by leading investors such as Zendesk, Accel,and Google and following our recent Series B-1, unitQ serves world-class clients, including Pinterest, PayPal, and Dropbox. Our mission is to help companies of all sizes deliver exceptional product experiences, optimize operational efficiency, and drive sustainable growth through continuous product quality improvement.   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