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Microservices Developer

Job in Rancho Cordova, Sacramento County, California, 95741, USA
Listing for: Delta Dental Ins.
Full Time position
Listed on 2026-08-23
Job specializations:
  • Software Development
    Backend Developer, DevOps, Software Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 81000 - 176000 USD Yearly USD 81000.00 176000.00 YEAR
Job Description & How to Apply Below

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.

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.

Responsibilities
  • 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
Qualifications
  • 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, Sonar Qube, Oracle, JUnit, TestNG, Datadog, OAuth 2.0, Docker, Kubernetes
  • Experience using AI-assisted software development tools such as Git Hub 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…
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