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., Git Hub 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.…