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Senior Java Developer – Spring Boot / GCP / AI

Position Summary

Huntington Bank is seeking an experienced Senior Java Developer to design, develop, and support scalable, cloud-native applications. This role requires strong hands-on expertise in Java, Spring Boot, Google Cloud Platform (GCP), Kafka, and REST API development, along with experience building microservices and distributed systems.

The ideal candidate will have a strong understanding of cloud architecture, modern DevOps practices, and emerging AI technologies. Experience with digital assets, tokenization, or financial services technology is a plus.

Key Responsibilities

• Design, develop, and maintain cloud-native applications and microservices using Java and Spring Boot.

• Build, integrate, and support scalable REST APIs and distributed applications.

• Develop event-driven architectures and asynchronous processing solutions using Apache Kafka.

• Design and optimize data models using Google Cloud Bigtable and other cloud-based databases.

• Leverage GCP services, including Cloud Run, BigQuery, and related cloud infrastructure.

• Implement and maintain CI/CD pipelines, automated testing, and deployment processes.

• Collaborate with architecture, infrastructure, security, product, and business teams to deliver enterprise technology solutions.

• Translate business requirements into technical designs and lead technical delivery for assigned initiatives.

• Participate in architecture discussions, code reviews, troubleshooting, and performance optimization.

• Identify opportunities to leverage AI-assisted development tools and emerging technologies to improve coding efficiency, testing, documentation, and delivery.

• Ensure solutions meet enterprise standards for security, scalability, resiliency, and regulatory compliance.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or related field, or equivalent experience.

• 5+ years of hands-on Java application development experience.

• Strong proficiency in Java 8/11/17/21 and Spring Boot.

• Experience designing and developing microservices, RESTful APIs, and distributed applications.

• Hands-on experience with Google Cloud Platform (GCP) and cloud-native application development.

• Experience with Apache Kafka and event-driven architecture.

• Experience with Google Cloud Bigtable or similar NoSQL databases.

• Strong understanding of cloud architecture, scalability, high availability, and fault tolerance.

• Experience with CI/CD pipelines, DevOps practices, Git, Maven, and Jenkins or GitHub Actions.

• Experience with SQL and relational databases such as Oracle, DB2, or MySQL.

• Understanding of API security, authentication, and authorization, including JWT.

• Experience with automated testing, debugging, and application performance tuning.

• Experience working in Agile/Scrum development environments.

• Strong analytical, problem-solving, communication, and collaboration skills.

Preferred Qualifications

• Experience with React and Node.js development.

• Experience with Terraform, Infrastructure as Code (IaC), Docker, and Kubernetes.

• Familiarity with GCP services such as Cloud Run and BigQuery.

• Experience with AI-assisted development tools and AI-enabled application development.

• Knowledge of cloud security, API gateways, monitoring, logging, and distributed tracing.

• Experience with Swagger/OpenAPI and API testing tools.

• Experience with fraud technology or financial services applications.

• Knowledge of J2EE, JAX-RS, web services, and enterprise application architecture.

• Experience with complex data structures, algorithms, and database optimization.

Nice-to-Have Qualifications

• Knowledge of digital assets, tokenization, blockchain, digital wallets, or digital payment platforms.

• Experience integrating with financial services platforms, payment networks, or digital asset custody solutions.

• Understanding of digital asset lifecycle management, tokenized deposits, and emerging digital banking technologies.

AI and Emerging Technologies

• Proactively identify opportunities to leverage approved AI-assisted development tools to improve software engineering productivity, code quality, testing, and documentation.

• Demonstrate an interest in emerging AI technologies and their practical application within enterprise software development.

• Apply appropriate security, governance, and regulatory controls when incorporating AI into development processes.

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