Job description

We are looking for a motivated Microservices Developer to join our Provider Management technology team. The developer will design, develop, test, deploy, and support scalable RESTful microservices that support critical provider recruitment, onboarding, credentialing, contracting, and servicing capabilities. The developer will leverage AI tools to accelerate development, improve code quality, automate testing, and modernize legacy applications. The ideal candidate will have hands-on experience with Java, Spring Boot, REST APIs, microservices architecture, SQL, and cloud technologies, along with a strong focus on engineering quality, automation, security, and continuous improvement. • Performs as a key contributor to an engineering team that builds and supports exceptional products that provide innovative solutions to challenging business use cases, existing system and operational problems • Actively participates in architectural design, system analysis, and programming activities on application software; this may often require independent research and study • Leverage AI-assisted development tools and GenAI capabilities throughout the software development lifecycle to accelerate coding, testing, debugging, refactoring, documentation, and modernization. • Identify opportunities to apply AI agents and automation to improve engineering productivity and operational efficiency. • Partner with senior engineers and architects to evaluate emerging AI technologies and determine appropriate enterprise use cases. • Ensure AI-generated code meets organizational standards for security, performance, maintainability, testing, and compliance. • Develops high-quality and production-ready software by using best-practice data structures, algorithms, design patterns, and frameworks that are maintainable, scalable, responsive, and secure • Writes highest quality code with utmost attention to scalability, security and performance and with an end-to-end mindset from conception to delivery and production support, owning specifications, quality, release deployments and monitoring of production health • Produces complete, simple, and readable technical documentation for everything developed and maintains a team culture of documenting everything • Tests and ensures quality of all code that developed in line with principles of test-driven development and continuous delivery, utilizing test automation frameworks wherever possible • 2+ years of experience w/Bachelor’s degree in computer science or equivalent technical field; additional experience may be accepted in lieu of education or degree • Experience designing and developing secure applications and products • Experience with developing, configuring and deploying applications on Microsoft Azure or any other cloud platform • Preferred skills include: Java, Spring Boot, Rest API development, microservices architecture, SQL, Git/Github/Github Actions, Maven, SonarQube, Oracle, JUnit, TestNG, Datadog, OAuth 2.0, Docker, Kubernetes • Experience using AI-assisted software development tools such as GitHub Copilot, Claude, ChatGPT, or similar developer productivity tools preferred • Ability to use GenAI tools for code generation, code refactoring, debugging, test-case generation, documentation, and technical analysis is highly preferred • Experience applying AI to improve developer productivity, software quality, test automation, and application modernization preferred • Understanding of prompt engineering and the ability to provide effective context and instructions to AI coding assistants preferred • Ability to review, validate, test, and secure AI-generated code rather than relying on AI output without engineering review preferred • Familiarity with modern Generative AI concepts, LLMs, AI agents, RAG, and API-based AI integrations is a plus • Experience integrating AI/GenAI capabilities into enterprise applications or REST APIs is highly desirable • Ability to identify key issues and details, and present understandable alternatives to both technical and non-technical individuals • Ability to create and maintain technical documentation to support the testing, installation, operations, deployment and maintenance of products • Proven ability to effectively present data to facilitate understanding of findings • Ability to solve complex problems using analytical and creative problem-solving skills for design, development and testing of systems • Strong knowledge of prevailing technology trends, design patterns and ability to apply those as needed • Ability to interpret and analyze technology heatmaps and subsequently develop plans to remediate hardware/software nearing End of Life/End of Support • Competent at adhering to organizational processes and procedures including but not limited to scrum and various design artifacts • Knowledge of agile development methodologies • Life-long learner, process improver Base Pay Information The national base pay range at the end is a good-faith estimate of what Delta Dental may pay for new hires. Actual pay may vary based on Delta Dental’s assessment of the candidate’s knowledge, skills, abilities (KSAs), related experience, education, certifications and ability to meet required minimum job qualifications. Other factors impacting pay include prevailing wages in the work location and internal equity. Pay Grade 21. $81,265 - $176,073

Requirements

Must-haves

Performs as a key contributor to an engineering team that builds and supports exceptional products that provide innovative solutions to challenging business use cases, existing system and operational problems
Actively participates in architectural design, system analysis, and programming activities on application software; this may often require independent research and study
Leverage AI-assisted development tools and GenAI capabilities throughout the software development lifecycle to accelerate coding, testing, debugging, refactoring, documentation, and modernization.
Identify opportunities to apply AI agents and automation to improve engineering productivity and operational efficiency.
Partner with senior engineers and architects to evaluate emerging AI technologies and determine appropriate enterprise use cases.
Ensure AI-generated code meets organizational standards for security, performance, maintainability, testing, and compliance.
Develops high-quality and production-ready software by using best-practice data structures, algorithms, design patterns, and frameworks that are maintainable, scalable, responsive, and secure
Produces complete, simple, and readable technical documentation for everything developed and maintains a team culture of documenting everything
Tests and ensures quality of all code that developed in line with principles of test-driven development and continuous delivery, utilizing test automation frameworks wherever possible
2+ years of experience w/Bachelor’s degree in computer science or equivalent technical field; additional experience may be accepted in lieu of education or degree
Experience designing and developing secure applications and products
Experience with developing, configuring and deploying applications on Microsoft Azure or any other cloud platform
Experience integrating AI/GenAI capabilities into enterprise applications or REST APIs is highly desirable
Ability to identify key issues and details, and present understandable alternatives to both technical and non-technical individuals
Ability to create and maintain technical documentation to support the testing, installation, operations, deployment and maintenance of products
Proven ability to effectively present data to facilitate understanding of findings
Ability to solve complex problems using analytical and creative problem-solving skills for design, development and testing of systems

Nice-to-haves

Preferred skills include: Java, Spring Boot, Rest API development, microservices architecture, SQL, Git/Github/Github Actions, Maven, SonarQube, Oracle, JUnit, TestNG, Datadog, OAuth 2.0, Docker, Kubernetes
Experience using AI-assisted software development tools such as GitHub Copilot, Claude, ChatGPT, or similar developer productivity tools preferred
Ability to use GenAI tools for code generation, code refactoring, debugging, test-case generation, documentation, and technical analysis is highly preferred
Experience applying AI to improve developer productivity, software quality, test automation, and application modernization preferred
Understanding of prompt engineering and the ability to provide effective context and instructions to AI coding assistants preferred
Ability to review, validate, test, and secure AI-generated code rather than relying on AI output without engineering review preferred
Familiarity with modern Generative AI concepts, LLMs, AI agents, RAG, and API-based AI integrations is a plus

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aijavarestsqlazureapidockerkubernetesscrumagile

Platform: oracle-cloud
Effort: medium

Benefits

Benefits detected in the listing.

Dental