Software Engineer - Microservices

The Software Engineer - Microservices is a hybrid role combining hands-on microservices development and AI engineering, with shared ownership of build, deployment, production operations, and security remediation.

The ideal candidate is a highly adaptable engineer who thrives in a fast-paced, production-critical environment and has demonstrated measurable productivity gains by leveraging AI-assisted development and operations tools (e.g., GitHub Copilot, Claude, or other enterprise-approved AI tools). The candidate must 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

• Design, develop, test, and maintain secure, scalable, and resilient microservices supporting consumer-facing applications

• Write high-quality, production-ready Java code using Spring Boot and RESTful API design principles

• Practice Test-Driven Development (TDD) and participate actively in peer code reviews

• 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

• Address security vulnerabilities, patching, upgrades, and hotfixes in a timely and compliant manner

• Instrument applications and infrastructure with monitoring, logging, alerting, and tracing (e.g., Datadog)

• 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 developing backend applications using Java, Spring Boot, REST APIs, Microservices architecture, and SQL

• Experience designing and developing secure application and products

• Experience with developing, configuring and deploying applications on Microsoft Azure or any other cloud platform

• 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. $80,500 - $174,300