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About the role

Overview: As a Solution Engineering Manager at EY, you lead a multidisciplinary squad delivering AI-enabled financial platforms from discovery to production. You will shape architectural decisions, mentor engineers, and partner with product, risk, and security teams to ensure compliant delivery. You’ll apply an AI-first mindset while balancing speed, quality, and governance to drive meaningful client solutions. This is a chance to influence large-scale financial services transformations and contribute to EY’s mission of building a better working world. Compensation / Benefits Medical and dental coverage Pension and 401(k) plans Flexible vacation policy Paid time off and holidays Personal/Family care leave Well-being and work-life balance benefits
Responsibilities: Lead a squad of 5–8 engineers delivering mission-critical platforms and AI-enabled solutions; act as trusted technical advisor to Product, Business Unit, and Risk/Compliance Manage, mentor, and grow engineers through 1:1s and performance reviews; foster AI fluency and an inclusive culture Own pod architecture, including service boundaries, fault tolerance, integration contracts, and non-functional requirements Advise on feasibility, buy-vs-build, and technical debt; participate in regulatory input with Risk and Compliance Lead discovery workshops, communicate risks and trade-offs to stakeholders Institutionalize AI development practices with governance, security guardrails, and data protection Integrate generative/agentic AI where appropriate; oversee testing, access controls, monitoring, and cost Coordinate with cross-pod teams to de-risk multi-service releases; manage backlog and release readiness Develop reusable accelerators and support proposals, demos, and bids
Key requirements: Bachelor’s degree in Computer Science or related field 8+ years of software engineering experience 2+ years leading an engineering team or squad Advanced knowledge of modern Java (Spring) and practical Python for services/AI integration Experience with distributed systems (Kafka) and RESTful APIs Hands-on cloud-native microservices experience and CI/CD practices Experience with Git, automated quality and security checks, and Agile/TDD Generative and agentic AI integration and production monitoring Spec-Driven Development and operationalizing AI developer tools with data protection Excellent written and verbal communication; ability to explain trade-offs to non-technical stakeholders Ability to translate ambiguous business needs into actionable designs Coaching mindset with problem-solving and collaboration across product, architecture, cloud, data, quality, and security teams Java (Spring) Python Kafka

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JOB OVERVIEW

Experience level

Manager

Location

Brooklyn, NY

Occupation

Software Developers

Industry

Computer Systems Design Services

Posted

today

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