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About the Role

Lead engineering on a multi-year program to modernize and migrate a large portfolio of middle-office applications to AWS. This role involves owning engineering delivery and an AI-augmented delivery model, ensuring control and quality standards are met for a global custodian.

Responsibilities

Lead the modernization engineering team rebuilding critical middle office applications as cloud-native services on AWS.
Set engineering standards for microservices, event-driven integration (Kafka/MQ), containerization (ECS/EKS), and Oracle data design.
Own technical delivery plans, estimates, and release quality in collaboration with Architecture, Platform, Data, QE, and application support teams.
Lead the engineering aspects of cutover, parallel runs, and handover to run teams.
Design and run the program's agentic SDLC, including AI-assisted reverse engineering, spec generation, code conversion, test generation, and documentation.
Select, combine, and orchestrate AI tools based on evidence of effectiveness, not tool preference.
Build reusable agent workflows, prompt libraries, and knowledge context (codebase knowledge graphs, vector databases, MCP integrations).
Track AI productivity and quality metrics (throughput, defect rates, rework, cost per migrated application) and report outcomes to leadership.
Implement human review checkpoints, audit trails, and secure-coding gates on all AI-generated code, adhering to technology risk, information security, and model governance policies.
Ensure business rules extracted by AI are verified by subject-matter experts and confirmed through reconciliation before go-live.
Manage data classification and approved-tool usage for client and confidential data.
Hire, coach, and grow a permanent cloud-native engineering team, and foster AI fluency across the team and the wider organization.
Manage vendor and temporary capacity, and facilitate knowledge transfer to permanent staff.

Requirements

12+ years in software engineering, with 5+ years leading large engineering teams on complex modernization or cloud migration programs.
Strong hands-on background in Java/Spring Boot, microservices, REST, messaging (Kafka/IBM MQ), and AWS (ECS/EKS, IAM, networking).
Proven, practical experience using AI coding assistants and agents in delivery, with measurable results.
Experience migrating legacy stacks (e.g., COBOL, C/C++, PowerBuilder, Sybase) to modern platforms, including database migration to Oracle.
Working knowledge of CI/CD and DevSecOps (Harness or similar), secrets management (Vault/CyberArk), and observability.
Experience delivering in a regulated financial services environment with strong change and control requirements.
Knowledge of investment servicing or middle-office areas: trade capture, confirmation, settlement, collateral, reconciliation, investment accounting.
Experience building MCP servers, knowledge graphs, or retrieval-augmented context for engineering agents.
AWS Professional-level or equivalent certification.
Decisive and comfortable with ambiguity.
Credible in code reviews and with senior stakeholders.
Ability to drive adoption of new ways of working while maintaining resilience and trust.

Skills

Java/Spring Boot
Microservices
REST
Messaging (Kafka/IBM MQ)
AWS (ECS/EKS, IAM, networking)
AI coding assistants
AI agents
Legacy code migration
Database migration to Oracle
CI/CD
DevSecOps (Harness or similar)
Secrets management (Vault/CyberArk)
Observability
Investment servicing
Middle-office areas
MCP servers
Knowledge graphs
Retrieval-augmented context for engineering agents

Location

Hybrid

Work Type

Hybrid
Full-time

Experience Level

Senior
Lead

Education Level

AWS Professional-level or equivalent certification

Salary/Compensations

$120,000 - $217,500 Annual

Benefits

Retirement savings plan (401K) with company match
Insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages
Paid-time off including vacation, sick leave, short term disability, and family care responsibilities
Access to Employee Assistance Program
Incentive compensation including eligibility for annual performance-based awards
Eligibility for certain tax advantaged savings plans

About the Company

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability.
We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential.
As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most.
Join us in shaping the future.

Equal Opportunity

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.