Vice President, Lead Java Software Engineer

Quick Facts

• Role: Vice President, Lead Java Software Engineer

• Team focus: Asset & Wealth Management, Alternatives

• Work: Hands-on Java development and modernization for cloud-native services on AWS

Description

Lead and mentor within an agile team building and modernizing secure, stable, and scalable technology products. Build Java/Spring Boot services and re-platform critical applications from on-premises to AWS, improving resiliency, scalability, and observability through distributed integration patterns and event streaming. Drive enterprise-authorized AI-assisted development practices with measurable standards to validate AI outputs for correctness, performance, and security.

Responsibilities

• Provide technical guidance and direction to teams, contractors, and vendors

• Develop secure, high-quality production code; review and debug others’ code

• Drive adoption and governance of approved AI-assisted engineering practices (AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis)

• Use SDLC toolchain knowledge (including AI-assisted development and automation) to scale automation value

• Influence product design, application functionality, and technical operations/processes

• Act as a function-wide subject matter expert in one or more focus areas

• Advocate and contribute to firmwide engineering frameworks, tools, and SDLC practices

Requirements

• Formal training or certification on software engineering concepts plus 5+ years of applied experience

• Proven hands-on experience delivering system design, application development, testing, and operational stability in production environments

• Advanced Java proficiency for enterprise backend development and strong Spring Boot experience (or equivalent Java frameworks)

• Hands-on experience designing, building, and operating messaging/event streaming integrations (Kafka, AWS MSK, SQS/SNS, Kinesis), including reliable delivery, error handling, and observability

• Practical cloud-native experience with AWS (building/deploying/operating services)

• Experience leading enterprise-authorized AI-assisted development tools and setting validation expectations for correctness, performance, and security

• Strong understanding of responsible AI use in engineering workflows (data sensitivity, secure handling, resiliency and security), including coaching senior engineers/leads

• Ability to tackle design and functionality problems independently with little to no oversight

Benefits

• Competitive total rewards package (base salary based on role, experience, skills, and location)

• Eligible roles may receive commission-based pay and/or discretionary incentive compensation (cash and/or forfeitable equity)

• Comprehensive health care coverage and on-site health/wellness centers

• Retirement savings plan, backup childcare, tuition reimbursement, and mental health support

• Financial coaching and additional benefits based on eligibility

• Additional details on compensation and benefits provided during the hiring process