Director, Full Stack Engineering

Ensuring engineering talent, skills, and team composition are aligned with platform strategy, long‑term technical direction, and organizational priorities—enabling the delivery of scalable, secure, and reliable platform capabilities.

Supporting, mentoring, and empowering engineers and engineering managers to deliver their best work—helping them grow deep expertise in Java, Spring Boot, API engineering, distributed systems, and cloud technologies.

Driving an agile, learning‑oriented engineering organization that embraces continuous improvement, collaboration, adaptability, and iterative delivery practices.

Acting as a key engineering leader who actively innovates, experiments, and explores new technologies—including cloud-native patterns, platform modernization, and improved ways to build APIs and services at scale.

Bringing curiosity and a strong engineering mindset—constantly asking “why” and ensuring the work delivered provides clear technical and business value, while challenging assumptions and driving better technical outcomes.

Championing a culture of engineering excellence through high standards for reliability, performance, resilience, security, and craftsmanship across all platform teams.

Building trusted, collaborative relationships with architecture, SRE, product leaders, and peer engineering teams to ensure alignment on platform strategy, technical direction, and execution.

Contributing to engineering best practices, coding standards, design patterns, and platform development guidelines—ensuring consistency, maintainability, and quality across all services and capabilities.

Leading the adoption of modern engineering approaches, including cloud-native architectures, DevOps, event-driven patterns, distributed systems principles, and emerging technologies such as AI/ML where applicable.

Serving as an inspiring engineering leader, sharing knowledge, participating in technical forums, promoting engineering thought leadership, and advocating for modern engineering practices across the broader organization.

Asset Management Technology is an integral partner for Asset Management and delivers innovative, scalable, industry-leading investment tools that enable Asset Management to achieve competitive advantage globally. Your work in this truly dynamic team will provide a major contribution to Asset Management’s investment performance and scale and efficiency objectives.

Deep engineering expertise with a strong focus on building and scaling platform capabilities, shared services, and foundational enterprise technologies.

Advanced proficiency in Java, Spring Boot, and API design and development, including RESTful patterns, API lifecycle management, and modern integration frameworks.

Strong experience with UI technologies such as Angular, along with modern web engineering practices and component-driven UI design.

Demonstrated leadership experience guiding software engineers and engineering managers, providing mentorship, technical coaching, and career development to build high-performing engineering teams.

10+ years of hands-on software engineering experience with a strong command of agile delivery, iterative development practices, and robust CI/CD pipelines enabling reliable and automated deployments.

Extensive experience designing and operating cloud-native platforms, with strong knowledge of AWS and/or Azure services, container orchestration (e.g., Kubernetes).

Expertise in distributed systems, event-driven architectures, messaging patterns, and scalable platform design—ensuring performance, resilience, and seamless integration across enterprise systems.

Strong understanding of platform observability, including monitoring, logging, tracing, and operational excellence practices for large-scale systems.

Experience with AI-based coding productivity tools, such as GitHub Copilot, and familiarity with LLM-enabled development workflows.

Bachelor’s degree in computer science, Software Engineering, or related technical field, demonstrating a solid foundation in data structures, algorithms, systems design, and core engineering principles.