Systems Engineer

We are seeking an experienced Systems Engineer to support large-scale technology transformation and modernization initiatives within enterprise systems and cloud environments. This role will focus on AI-assisted software development workflows, cloud-native application modernization, and scalable distributed systems. The ideal candidate will have strong expertise in Java, cloud technologies, microservices, AI/ML implementation, and DevOps practices, along with experience working in highly available enterprise environments. Key Responsibilities Design, develop, and support large-scale enterprise applications and distributed systems Lead and contribute to AI-assisted development workflows across the Software Development Life Cycle (SDLC) Utilize Generative AI tools to support implementation, refactoring, testing, troubleshooting, automation, documentation, and code reviews Build and support cloud-native applications using microservices and containerized architectures Participate in system modernization initiatives including migration from legacy platforms to distributed cloud-based systems Develop and maintain CI/CD pipelines and automated deployment processes Collaborate with developers, architects, QA teams, and cross-functional stakeholders to deliver scalable and reliable solutions Work with databases and messaging technologies to support high-volume transactional systems Create and maintain technical documentation, architecture diagrams, and system specifications Support Agile development practices and continuous improvement initiatives Required Qualifications Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience 7+ years of professional software engineering experience developing large-scale applications using Java, Spring Framework, cloud technologies, and web services 2+ years of hands‑on experience with AI/ML implementation and production deployment 6+ years of experience working with containers and microservices in cloud environments 6+ years of experience with CI/CD and cloud deployment practices 2+ years of experience with Pivotal Cloud Foundry (PCF), AWS, or GCP 2+ years of experience with databases such as MongoDB, Aerospike, or PostgreSQL Experience supporting modernization initiatives from legacy systems to distributed platforms Hands‑on experience with Large Language Models (LLMs) such as GPT, Claude, Gemini, or PaLM Practical experience using Generative AI coding assistants such as GitHub Copilot or Claude Code Understanding of AI-assisted development workflows, prompt engineering, and spec-driven development Strong understanding of microservices architecture and highly available systems Excellent communication, collaboration, and problem‑solving skills Ability to work effectively in fast‑paced Agile environments Preferred Qualifications Master’s degree in Information Technology, Computer Science, or related field Knowledge of messaging technologies such as RabbitMQ or Kafka Experience working in the Financial Services industry Experience with Test Driven Development (TDD), QA automation, and quality engineering practices Experience creating architectural diagrams, technical documentation, and functional specifications Familiarity with Agile methodologies and Agile delivery environments Experience with Atlassian tools such as JIRA and Confluence Willingness to learn and support multiple areas of the technology stack #J-18808-Ljbffr