Lead Software Engineer - Java, AWS, AI/ML

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a seasoned member of an agile team, you will design and deliver trusted market-leading technology products in a secure, stable, and scalable way within the Corporate Technology - Instrument Reference Data group.

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives team adoption of enterprise-authorized AI-assisted engineering practices 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
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Designs and delivers scalable ML systems (batch and real-time inference), including data/feature pipelines, model training, evaluation, deployment, monitoring, and drift/performance management
• Leads communities of practice across Software Engineering and AI/ML to drive awareness and use of new and leading-edge technologies (MLOps, LLM patterns, feature stores, observability, model monitoring)

Requirements

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Experience with micro-services architecture, design patterns and technologies: Java, Spring Boot, Kafka, Hibernate
• Experience building cloud-native solutions on AWS (compute, networking, storage, security) and deploying containerized services (e.g., ECS)
• Experience with processing of large data volumes and data analysis using SQL/NoSQL
• Experience with CI/CD, infrastructure-as-code, and automation to enable reliable releases and environment consistency
• Experience in authentication/authorization, secrets management, encryption, and secure coding practices
• Experience in Agile methodologies and collaboration across product, data, platform/SRE, and governance stakeholders
• 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

Preferred Qualifications

• AWS Certification
• Experience building AI/GenAI services (RAG, agent/tool orchestration, evaluation frameworks, guardrails) in production
• Experience with event-driven architecture and streaming (e.g., Kafka) and data processing patterns for high-volume systems

Benefits

• Comprehensive health care coverage
• On-site health and wellness centers
• Retirement savings plan
• Backup childcare
• Tuition reimbursement
• Mental health support
• Financial coaching