Java/AWS Consultant

Java/AWS Consultant
Spring Filed, MA (Hybrid)
Long Term
W2 only
Overview
Experienced Java/AWS Developer 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 Responsibilities
• Design, 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 & Qualifications
• Bachelor’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 transformation initiatives.
Technical Skills
• Java/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 Skills
• Strong 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.