Senior Software Development Engineer

NationsBenefits, LLC•Plantation, FL

8d•Onsite

About The Position

NationsBenefits is a leading Healthcare Fintech provider specializing in supplemental benefits, flex cards, and member engagement solutions. We partner with managed care organizations to deliver innovative healthcare solutions that enhance growth, improve outcomes, reduce costs, and provide value to members. Our comprehensive offerings, including supplemental benefits, fintech payment platforms, and member engagement tools, empower health plans to offer high-quality benefits that address social determinants of health, thereby improving member health outcomes and satisfaction. Our robust, compliance-focused infrastructure, proprietary technology, and premier service model enable our health plan partners to deliver value-based care to millions of members. We foster a rewarding work environment that attracts top talent and encourages associates to excel in serving both internal and external customers, with the ultimate goal of transforming the healthcare industry. We provide opportunities for career advancement within the organization across our US, South America, and India locations.

Requirements

Master’s or Bachelor’s degree in computer science, Information Technology, or a related field.
3-6 Years of Java (21) Development experience with Spring Framework (Spring Boot 3.x)
Java (Spring Boot, Hibernate), microservices architecture, RESTful APIs, SQL/NoSQL databases.
Experience with AWS, GCP, or Azure, CI/CD pipelines, and version control (Git, Jenkins, Kubernetes, Docker).
Strong understanding of Agile methodologies, team leadership, and cross-functional collaboration.
Proven ability to design and deploy secure applications in a regulated environment.

Nice To Haves

Experience with Payment Tokenization and MDES: Seeking a seasoned engineer with proven experience in payments tokenization systems. The ideal candidate will have hands-on knowledge of the Mastercard Digital Enablement Service (MDES), including its APIs and integration patterns, token lifecycle for digital wallets.
Expertise in Secure Credential Provisioning: A critical skill for this role is expertise in secure credential provisioning and token management. The candidate must be adept at building and maintaining services that provision payment tokens to digital wallets and other devices. This involves implementing robust security protocols, managing key and certificate lifecycles, and ensuring compliance with industry standards like EMVCo and Payment Card Industry Data Security Standard (PCI DSS).
Integration of Azure Services with Payments Ecosystems: The role requires an individual who can architect and implement solutions using the Azure cloud platform to interact with the payments ecosystem. The candidate should be proficient in using Azure services like Azure Functions, Azure Key Vault, and Azure App Service to build secure, scalable, and resilient payment processing applications that integrate seamlessly with external services like MDES. A strong grasp of cloud security principles and best practices for handling sensitive data is essential.
Hands-on experience with Jenkins, Kubernetes, and cloud- based CI/CD pipelines.
Familiarity with front-end frameworks like React or Angular.
Knowledge of Kafka, Hadoop, and distributed data processing tools

Responsibilities

Lead, mentor, and grow a team of high-performing engineers, fostering a collaborative and innovative work culture.
Recruit, onboard, and train top engineering talent, ensuring team members adhere to best development practices.
Conduct regular performance reviews, one-on-ones, and knowledge-sharing sessions to drive continuous team improvement.
Encourage an Agile and DevOps culture, promoting ownership, accountability, and cross-functional collaboration.
Define and execute the technical strategy and architecture for a scalable secure, and high-performance FinTech application.
Ensure that the software development lifecycle (SDLC) adheres to industry best practices, coding standards, and compliance guidelines.
Guide engineers in software design, code reviews, debugging, and performance optimization.
Stay updated on emerging technologies and industry trends, integrating innovative solutions where applicable.
Lead the design, development, and deployment of Java-based microservices using Spring Boot, Hibernate, and RESTful APIs.
Ensure the delivery of fault-tolerant, scalable, and low-latency systems that can handle high transaction volumes.
Collaborate with business teams to translate functional requirements into robust technical solutions.
Optimize application performance, reliability, and security through proactive monitoring and fine-tuning.
Architect, build, and maintain microservices-based systems on cloud platforms like Azure, AWS, or GCP.
Ensure efficient containerization and orchestration using Docker and Kubernetes.
Leverage cloud-based tools for monitoring, logging, and scaling production workloads.
Work closely with Product Managers, Program Managers, and Business Leaders to align technical roadmaps with company goals.
Ensure seamless collaboration between engineering, product, and non-technical teams.
Translate complex technical challenges into actionable business solutions.
Establish a culture of continuous learning and process enhancement within the engineering team.
Promote automation, DevOps practices, and CI/CD pipelines to streamline deployments.
Encourage the adoption of new frameworks, tools, and best practices to improve team efficiency and product quality.
Ensure that applications comply with financial regulations, data security, and privacy standards (GDPR, PCI DSS, etc.).
Proactively manage technical risks, vulnerabilities, and security incidents.
Implement robust authentication, authorization, and encryption mechanisms for secure data transactions.
Design and manage SQL/NoSQL databases, ensuring optimal performance for large-scale data processing.
Optimize database queries for fast, efficient, and reliable financial transactions.
Integrate real-time data processing solutions, such as Kafka or Hadoop, to handle high-throughput workloads.