Lead Java Full-Stack AWS Software Engineer Vice President

you will play a key role in designing building and optimizing cloud-native solutions using AWS microservices architecture and Kubernetes.

Within the Trade Controls and Limits Management team of Markets Technology you will help deliver a robust multi-asset risk and control management platform supporting low latency trading activities. You will leverage your AWS and cloud engineering skills to architect maintain and optimize applications and infrastructure driving continuous improvement and innovation to ensure platform availability reliability and scalability.

Job Responsibilities

• Design develop and deploy high-quality maintainable and well-tested software solutions on AWS
• Architect and implement microservices-based applications leveraging Kubernetes for orchestration and scalability
• Collaborate with product and engineering teams to deliver reliable scalable and efficient software
• Participate in design reviews to strengthen architectural resilience fault tolerance and scalability
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality delivery speed and operational outcomes (e.g. AI-assisted code review/refactoring test strategy acceleration incident/root-cause analysis support) while establishing consistent validation standards (secure coding peer review automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain including enterprise-authorized AI-assisted development and automation capabilities to improve the value realized by automation.
• Develop and maintain monitoring and alerting systems to ensure comprehensive visibility into system health and performance
• Troubleshoot and resolve complex technical issues to maintain system integrity and performance
• Champion best practices in software engineering reliability and resiliency and mentor team members

Required Qualifications Capabilities and Skills

• Formal training or certification on software engineering concepts and 10 years of applied experience with a strong focus on AWS cloud development
• Hands-on experience building production-grade software in Java
• Experience with developing and deploying containers CI/CD and DevOps practices
• Experience working with both relational and NoSQL databases
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g. for coding code review test acceleration troubleshooting) with the ability to set team expectations for validating AI outputs for correctness performance and security.
• Strong understanding of responsible AI use in engineering workflows including data sensitivity considerations secure handling of inputs/outputs and adherence to resiliency and security expectations; experience coaching engineers on safe compliant adoption within delivery practices
• Strong knowledge of distributed systems microservices architecture and reliability patterns
• Solid understanding of networking concepts and Unix/Linux environments
• Experience analyzing troubleshooting and supporting large-scale cloud-native systems

Preferred Qualifications Capabilities and Skills

• Advanced knowledge of Java object-oriented programming and the JVM especially in AWS environments
• Experience with infrastructure as code and modern monitoring/observability practices
• Experience working in the financial or fintech industry