Java/AWS Power System Software Consultant

Hybrid Details: Springfield, MA - HybridDuration: 17 months to startJob DescriptionWe are seeking an experienced J Java/AWS Power System Software Consultant expertise to design, develop, modernize, and support enterprise-grade Power Systems applications that enable load forecasting, outage coordination, and other critical energy operations. The ideal candidate will bring strong Java development skills, hands-on AWS cloud experience, and the ability to deliver scalable, secure, and reliable solutions in a mission-critical environment. Key ResponsibilitiesDesign, develop, enhance, and maintain Java-based Power Systems applications. Design scalable solutions using Java, Spring Boot, REST APIs, microservices, AWS Step Functions, and cloudnative AWS services. Build and support integrations between enterprise applications and data platforms. Ensure application reliability, scalability, security, and performance. Support modernization initiatives, including cloud migration and microservices adoption. Collaborate with system operators, planners, data engineers, and cloud engineers. Participate in all phases of the Software Development Life Cycle (SDLC). Implement monitoring, automation, logging, and operational support processes. Provide technical leadership for enhancements, upgrades, and performance optimization. Required Skills & QualificationsBachelor s or Master s degree in Electrical Engineering, Computer Science, or related field. Experience developing Java applications in energy, utilities, or large enterprise environments. Senior-level candidates should have experience leading architecture, modernization, or cloud transformationinitiatives. Technical SkillsJava/J2EE, Spring Boot, REST APIs, Microservices. AWS services including EC2, EKS/ECS, S3, Lambda, RDS, CloudWatch, and Step Functions. Oracle SQL, PostgreSQL, and enterprise relational databases. Enterprise integration patterns and workflow orchestration. Understanding of Power Systems, Load Forecasting, Outage Coordination, or Energy Operations. Exposure to ML/AI applications such as time-series analytics and forecasting. CI/CD pipelines, monitoring, and cloud operations. Soft SkillsStrong analytical, troubleshooting, and problem-solving abilities. Excellent communication and stakeholder management skills. Ability to work effectively in cross-functional teams. Self-motivated with the ability to manage multiple priorities in a mission-critical environment.