Engineering Manager- Ex Fidelity Investment/Fidelity Investment Services

Drive Architectural Execution: Partner with enterprise architects to design and implement a highly scalable, centralized translation layer that maps legacy 3-character processing to the new 4-character external structures.

Ensure Ecosystem Compatibility: Oversee the updates spanning core data models, supervisory workflows, and downstream integrations across critical trading, clearing, and back-office platforms.

Mitigate Risk & Maintain Stability: Establish strict testing, fallback, and deployment strategies to guarantee uninterrupted high-volume financial transactions during the migration phase.

Vendor & Integration Oversight: Ensure external-facing API endpoints, files, and messaging queues remain fully compatible with downstream vendor systems and client-facing frontends.

Lead & Mentor Engineers: Manage a cross-functional squad of engineers. Foster a culture of technical excellence, collaboration, and continuous learning through code reviews, design docs, and career coaching.

Agile Execution: Act as the technical owner for the team’s sprint commitments. Break down complex legacy modernization problems into iterative, deliverable milestones.

Cross-Functional Collaboration: Partner closely with Product Managers, Scrum Masters, and peer Engineering Managers across upstream and downstream systems to ensure aligned release schedules and dependencies.

Experience: 8+ years of software engineering experience, with at least 2-3 years in a formal engineering management or technical lead role.

Domain Expertise: Previous experience working within Financial Services, Fintech, or High-Volume Transactional Platforms (e.g., clearing, trading, wealth management, or brokerage systems).

Legacy Modernization: Proven track record of managing projects that involve modernizing core data models or identifier systems without disrupting legacy system operations.

Backend & Data Architecture: Strong understanding of distributed architectures, relational and non-relational databases, data modeling, and high-performance translation/mapping systems.

Integration & APIs: Deep familiarity with API design (REST/gRPC), message brokers (Kafka/RabbitMQ), and secure file-based data exchanges standard in financial ecosystems.

Risk Management: Exceptional analytical skills with a focus on system reliability, automated testing frameworks, and zero-downtime deployment patterns.

Communication: Ability to distill complex technical debt and modernization constraints into clear, business-oriented impacts for stakeholders and product partners.