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 Dev Ops practices, along with experience working in highly available enterprise environments.

• 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

• 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 Mongo
  
  DB, 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 Git Hub 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

• Master’s degree in Information Technology, Computer Science, or related field
• Knowledge of messaging technologies such as Rabbit
  
  MQ 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