Senior Software Engineer

QUALIFICATIONS

• 4+ years of professional software engineering experience (US Only)
• 4+ years of hands-on Java development experience building enterprise applications.
• Experience designing and implementing RESTful APIs and microservices.
• Experience developing and supporting cloud-native applications in Azure or similar cloud environments.
• Experience supporting highly available enterprise platforms and participating in production support, incident investigation, root cause analysis, and operational improvement efforts.
• Experience maintaining and enhancing existing enterprise applications while contributing to modernization initiatives.
• Demonstrated ability to independently deliver complex technical solutions from design through implementation, deployment, and production support.
• Experience working within Agile software development methodologies.
• Demonstrated ability to mentor junior and mid-level engineers and share technical knowledge across teams.
• Strong understanding of software design principles, application architecture, and development best practices.
• Experience working with complex data models and enterprise-scale applications.
• Excellent problem-solving, analytical, and troubleshooting skills.
• Strong verbal and written communication skills with the ability to collaborate effectively across technical and non-technical teams.
• BS Engineering, Computer Science, or equivalent experience required; advanced degree preferred.

• Core Development Technologies Java development experience, preferably with Java 17 and/or Java 21.
• Strong experience developing enterprise applications using Spring Framework and Spring Boot.
• Experience designing, implementing, and supporting RESTful APIs and microservices architectures.
• Strong understanding of distributed systems and event-driven architectures.
• Experience with messaging platforms such as Kafka, Azure Event Hubs, or similar technologies.
• Cloud and Platform Technologies Experience developing and deploying cloud-native applications in Microsoft Azure.
• Familiarity with Docker, Kubernetes, and Azure Kubernetes Service (AKS).
• Experience with Git, Git Hub, Git Hub Actions, Maven, and CI/CD pipelines.
• Experience supporting modern Dev Ops practices and automated deployment processes.
• Data and Persistence
  
  Experience with relational and No
  
  SQL databases including MySQL, PostgreSQL, Cosmos DB, or comparable technologies.
• Strong understanding of data modeling, data design, optimization, and performance tuning.
• Knowledge of database design best practices and enterprise data management principles.
• Experience working with multiple data storage technologies and architectures.
• Quality, Reliability, and Operations Experience with automated testing frameworks such as JUnit and Mockito.
• Strong understanding of application monitoring, observability, logging, distributed tracing, and performance optimization.
• Knowledge of secure coding practices and application resiliency patterns.
• Experience troubleshooting complex production issues and driving root-cause analysis.
• Professional Skills Strong knowledge of software development processes and Agile methodologies.
• Solid understanding of software architecture principles and industry best practices.
• Strong interpersonal and collaboration skills.
• Proven ability to work effectively with internal and external technology partners to solve complex business problems.
• Excellent organizational, planning, and time management skills.
• Advanced written and verbal communication skills, including the ability to communicate effectively with technical and business stakeholders.
• Experience leveraging AI-assisted development tools such as Git Hub Copilot to improve developer productivity, code quality, testing, documentation, and software delivery outcomes.

• Design, develop, test, deploy, and support enterprise software solutions using Java and related technologies.
• Develop and support cloud-native microservices and APIs running in Azure environments.
• Participate in architecture and design discussions, providing recommendations that align with engineering best practices, operational requirements, and long-term maintainability.
• Write, review, and maintain high-quality, testable, and maintainable code.
• Troubleshoot and resolve complex application, performance, and production support issues.
• Design and work with complex data models and database structures.
• Collaborate closely with Product, Architecture, SRE, QA, and peer engineering teams to deliver business solutions.
• Leverage AI-assisted…