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Quarkus Developer Jobs in Massachusetts (NOW HIRING)

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Quarkus Developer information

What is a Quarkus developer?

A Quarkus Developer is a software engineer who specializes in building Java applications using the Quarkus framework. Quarkus is a Kubernetes-native Java framework optimized for GraalVM and HotSpot, known for its fast startup times and low memory usage. Quarkus Developers typically work on developing, deploying, and maintaining microservices and cloud-native applications, leveraging Quarkus' capabilities to optimize performance and scalability. Their role may also involve integrating various libraries, ensuring best practices, and collaborating with DevOps teams for containerization and deployment.

What are the key skills and qualifications needed to thrive as a Quarkus developer?

To thrive as a Quarkus Developer, you need strong proficiency in Java, familiarity with microservices architecture, and experience with cloud-native development, often supported by a computer science degree or similar background. Expertise with Quarkus itself, RESTful APIs, containerization tools like Docker, and CI/CD platforms is typically required, and certifications in Java or cloud technologies can be beneficial. Problem-solving ability, adaptability, and collaboration are crucial soft skills for excelling in team environments and rapidly evolving projects. These skills and qualities are essential for building efficient, scalable, and maintainable applications that meet modern enterprise needs.

What are some common challenges Quarkus developers face when integrating legacy Java applications into a Quarkus-based microservices architecture?

Quarkus Developers often encounter challenges such as migrating existing Java EE or Spring-based applications to leverage Quarkus' fast startup times and low memory footprint. Compatibility issues with certain libraries, adapting to Quarkus' build-time optimizations, and reconfiguring dependency injection can require careful planning and testing. Collaboration with DevOps teams is also crucial, as containerization and deployment workflows may change. Addressing these challenges helps ensure smoother transitions and maximizes the benefits of a modern microservices approach.

What is the difference between Quarkus Developer vs Spring Boot Developer?

AspectQuarkus DeveloperSpring Boot Developer
Required CredentialsBachelor's in Computer Science, Java certificationsBachelor's in Computer Science, Java certifications
Work EnvironmentCloud-native, microservices, containerized appsWeb applications, microservices, enterprise solutions
Industry UsageStartups, cloud providers, modern Java projectsEnterprises, large-scale web apps, legacy system integration

Both Quarkus and Spring Boot developers typically have Java certifications and work in cloud or enterprise environments. Quarkus developers focus on building lightweight, container-friendly microservices optimized for cloud-native deployment, while Spring Boot developers often work on scalable web applications and enterprise solutions. The choice depends on project requirements and infrastructure preferences.

What are popular job titles related to Quarkus Developer jobs in Massachusetts?

For Quarkus Developer jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Quarkus Developer jobs in Massachusetts look for?

The top searched job categories for Quarkus Developer jobs in Massachusetts are:

Quarkus Developer jobs near you
Infographic showing various Quarkus Developer job openings in Massachusetts as of August 2026, with employment types broken down into 85% Full Time, 2% Part Time, and 13% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

.Principal Software Engineer - AI Engineering

Spherical Analytics

Cambridge, MA • On-site

$148K - $199K/yr

Full-time

Re-posted yesterday

Job description

Job Summary:
Context Labs is dedicated to sourcing, organizing, and contextualizing the world’s climate information, and they are seeking a Principal Software Engineer to lead their AI Engineering initiatives. The engineer will provide technical leadership, develop AI systems, and collaborate with other teams to translate business requirements into software tasks.
Responsibilities:
• Provide leadership within the AI engineering team as a technical authority on AI, LLMs, and related technologies.
• Develop and maintain AI integrations, systems, and services for use within the Immutably™ Platform.
• Collaborate with other development teams and the product owner to define and estimate business requirements and then translate these into specific software tasks.
• Develop code to translate business requirements into model execution.
• Fine tune models to support specific business cases.
• Develop RAG systems to support business requirements.
• Provide exemplary designs, architecture, and code, etc. for the engineering team to use as guidelines.
• Conduct code reviews.
• Lead technical talks on topics relating to building, scaling, and performance of AI systems.
• Oversee the ongoing maintenance of related AI based systems.
• Collaborate as a member of an agile team to get products developed and completed with best-in-class software development.
• Coach and mentor members of your team through the variety of technological, and methodological challenges they face day-to-day.
• Coordinate across a distributed team spanning multiple time zones.
• Anything else as may reasonably be required by the company.
Qualifications:
Required:
• 10+ years of experience in professional software systems development
• Great communication skills
• Big picture orientation with strong attention to detail
• Comfort in dealing with highly abstract concepts and complex architectures is critical for this role.
• Proven experience in integrating and utilizing LLM APIs for building conversational AI and machine-driven insight systems.
• Demonstrated ability to fine-tune pre-trained language models (LLMs) to improve performance on specific tasks.
• Proficiency in designing and optimizing prompts to elicit desired responses from language models.
• Experience with integrating API services.
• Proficiency in unit and functional testing
• Hands-on experience in building and deploying conversational AI systems, including chatbots and virtual assistants.
• Strong coding skills in Java or other JVM languages (e.g., Scala) for developing scalable AI solutions.
• Experience with disparate Java frameworks such as Spring/Quarkus/Helidon etc.
• Proficiency with Docker based microservice architectures and the Kubernetes platform.
• Proficiency with MySQL, PostgreSQL, or equivalent RDBMS
• Experience with NoSQL/NewSQL databases.
• Proficiency in source code management
Preferred:
• Experience with functional programming
• Experience with OpenAI API
• A bachelor’s degree in computer science or related field
Company:
Spherical Analytics develops environmental impact solutions that combine blockchain technologies with big data and machine learning. Founded in 2018, the company is headquartered in Cambridge, USA, with a team of 11-50 employees. The company is currently Early Stage.

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