Software Engineer

Primary Responsibilities:

• Design, develop, and maintain scalable backend services using Java and Spring Boot to support RQ Core and Prospective programs
• Contribute to the 2026 Cornerstone decommissioning by modernizing legacy components and ensuring smooth transition with minimal business disruption
• Implement event‑driven and streaming solutions using Kafka to enable reliable, high‑throughput data processing and system integration
• Deploy and manage containerized applications on Kubernetes (K8s), ensuring high availability, resiliency, and optimized resource utilization
• Leverage MongoDB and other data stores to build secure, performant, and scalable persistence layers aligned with evolving business needs

• Drive AI‑enabled automation and engineering best practices, including CI/CD, observability, security standards, and collaborative design across teams

• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• Graduate degree or equivalent experience
• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
• Solid hands‑on experience with Java and Spring Boot, building and supporting production‑grade backend services
• Experience working with Kubernetes (K8s) and containerized deployments in cloud or hybrid environments
• Solid knowledge of microservices architecture, including RESTful APIs, service design, and integration patterns
• Proficiency with Kafka and NoSQL databases (MongoDB) for event‑driven architectures and scalable data handling
  • Demonstrated ability to work in an Agile environment, contributing to modernization efforts, automation, and secure system design with minimal supervision