Software Engineering Manager – Custody Platforms

Who we are looking forWe are seeking an experienced Software Engineering Manager to lead engineering teams responsible for the design, development, and delivery of core custody and securities processing platforms. This role blends people leadership, technical stewardship, and delivery accountability within a complex, highly regulated financial services environment.

What you will be responsible forAs the Software Engineering Manager – Custody Platforms:

Drive end‑to‑end delivery across solution design, development, testing, production release, and support for the global custody platform

Own custody platform initiatives, ensuring delivery meets expectations for quality, resiliency, scalability, timeliness, and cost Partner with product, business, custody operations, architecture, infrastructure, risk, and vendor teams to translate requirements into well‑designed technical solutions

Provide technical leadership and oversight across architecture, system design, and code quality, including design and code reviews

Embed and continuously improve Agile delivery practices, including backlog management, sprint execution, and release planning

Proactively manage delivery risks, technical debt, project issues, and budget constraints, clearly communicating impacts and mitigation strategies

Ensure solutions meet required security, compliance, and operational readiness standards for mission‑critical custody platforms

Lead, coach, and develop software engineering teams, fostering a culture of engineering excellence, accountability, and continuous improvement

Provide technical leadership across hybrid architecture environments, including mainframe (z/OS), open systems, and cloud-native platforms

Drive end-to-end solution design spanning mainframe applications, distributed systems, and cloud-based services (AWS/Azure)
Ensure robust data architecture and engineering practices, including design and optimization of Db2, Oracle, and relational database platforms

Lead modernization initiatives, including mainframe-to-cloud integration, API enablement, and event-driven architectures

Oversee system design and engineering standards covering scalability, performance tuning, high availability, and resiliency across platforms

Guide teams on secure coding, data integrity, and compliance standards across legacy and cloud environments

Provide escalation leadership during production incidents and major releases, ensuring rapid issue resolution and stakeholder communication

Drive increased automation and straight‑through processing, including use of AI and Agentic AI to improve exception management, reconciliation, and operational efficiency

What we value

These skills will help you succeed in this role:

Proven technology leadership experience supporting custody platforms, securities processing, or post‑trade systems (e.g., settlements, asset servicing, corporate actions)
Strong expertise across mainframe technologies (z/OS, COBOL, JCL, Db2) and distributed/open systems ecosystems (Java, Linux, middleware)
Deep understanding of database design and data engineering, including Db2, Oracle, and cloud-based data platforms

Proven ability to architect and integrate hybrid environments (mainframe + cloud + distributed systems)
Strong technical grounding in systems design, data models, and enterprise integration patterns

Experience driving modernization and migration strategies, including mainframe optimization and cloud transformation

Strong leadership, communication, and stakeholder‑management skills, with the ability to influence across global organizations

Excellent critical thinking, problem‑solving, and decision‑making capabilities in complex environments

Demonstrated success building, mentoring, and leading high‑performing engineering teams

Ability to balance hands‑on technical depth with people leadership and strategic execution

Experience delivering large, complex, global technology programs

Hands‑on experience with AI, machine learning, and Agentic AI in enterprise environments; familiarity with mainframe technologies and integration patterns preferred

Education &

Preferred Qualifications Bachelor’s degree in Computer Science, Engineering, Finance, or…