Director, Software Engineering

Fidelity Investments•Westlake, TX

About The Position

Fidelity is seeking a seasoned Director of Software Engineering to lead the development and evolution of its enterprise-wide customer communications Archive platform. The role will shape how systems and users interact with a modernized platform, replacing aging systems with high-performance, container-based applications integrated with enterprise systems, tools, and financial data services. The Director owns the delivery roadmap, drives technology strategy, and leads a high-performing team through a complex, multi-phase modernization. The position is within Fidelity Wealth’s Brokerage Recordkeeping Technology organization, which is responsible for retail brokerage technology and experience. In partnership with Product leadership and leaders across Fidelity Wealth, Fidelity Brokerage, and other business units, the Director will define and execute the Archive platform’s technology strategy and deliver modern, scalable, compliant archive capabilities that support long-term business objectives.

Requirements

  • 10–12 years in software engineering leadership, including experience at the Director level.
  • Experience in complex, multi-year transformation programs.
  • Excellent written and verbal communication skills.
  • Demonstrated domain knowledge in brokerage, financial services operations, and back-office processing.
  • Experience building and leading high-performing engineering teams in a fast-paced, regulated environment.
  • Strong understanding of technology ecosystems, including logical and physical architecture, processes, tools, integrations, data flows, and non-functional requirements such as availability, resiliency, capacity, performance, and observability.
  • Solid understanding of Java, Spring Boot, and Kafka for back-end services and API development.
  • Hands-on experience with AWS services including S3, IAM, Lambda, OpenSearch, and EKS.
  • Ability to evaluate and influence data architecture decisions, including schema design, data retention, archival patterns, data migration, and integration with distributed applications.
  • Hands-on experience with container-based application architecture.
  • Proven ability to work with and modernize legacy technology stacks while maintaining system stability and operational continuity.
  • Experience with CI/CD pipelines and DevOps practices in a regulated financial environment.
  • Solid grasp of software architecture, distributed systems, and real-time data platforms.
  • Deep understanding of archival and retention strategies, information lifecycle management, data governance, and large-scale data migration patterns.
  • Experience designing and operating systems subject to regulatory retention, audit, legal hold, privacy, and recordkeeping requirements.
  • Proven ability to influence enterprise data architecture decisions, including schema design, retention policies, archival patterns, retrieval performance, and integration with distributed systems.
  • Experience leading large-scale archive platform modernization involving high-volume data retention, archival storage, retrieval optimization, regulatory recordkeeping, and migration from legacy systems to cloud-native architectures.

Responsibilities

  • Own end-to-end engineering delivery, from backlog refinement and sprint planning through release management and production deployment.
  • Develop a high-performance delivery culture balancing velocity with quality, reliability, and security in a regulated financial environment.
  • Establish and monitor KPIs for delivery health, system performance, reliability, and modernization progress, and use data to drive continuous improvement.
  • Remove organizational blockers and dependencies affecting engineering execution, escalating when appropriate.
  • Drive incident management, root cause analysis, and operational stability improvements across the platform.
  • Own technology lifecycle and technology product management, ensuring applications and platform components are maintained to current standards, versions, and best practices.
  • Champion AI-enabled engineering capabilities and intelligent automation to improve developer productivity, delivery speed, software quality, and operational efficiency.
  • Lead large-scale archive modernization, including legacy platform retirement, cloud migration, archival data migration, and platform simplification while maintaining business continuity.
  • Establish service level objectives, operational metrics, and reliability targets for platform stability, resiliency, and customer satisfaction.
  • Partner with architecture and engineering leaders to ensure solutions are scalable, observable, resilient, secure, and maintainable.
  • Partner with the Product Manager and VP of Engineering to develop a delivery roadmap balancing modernization, operational initiatives, regulatory compliance, and stability.
  • Translate strategy into engineering plans with milestones, resource requirements, and success metrics.
  • Lead planning and prioritization across new capabilities, modernization, and operational stability.
  • Partner with business stakeholders to align technology delivery with business goals.
  • Establish design principles and platform standards for the Archive platform.
  • Communicate technical strategy and delivery roadmaps to technical and non-technical executive audiences.
  • Partner with Enterprise Architecture, Compliance, and Records Management stakeholders on archival data management, retention, retrieval, governance, and regulatory compliance strategy.
  • Make technology decisions balancing modernization, operational risk, regulatory obligations, scalability, and total cost of ownership.
  • Lead, mentor, and develop a high-performing engineering team; drive talent development, resource planning, and associate growth.
  • Foster engineering excellence, accountability, and continuous improvement, and maintain team alignment and morale through the modernization.
  • Influence and align Product, Architecture, Compliance, Operations, and Technology stakeholders toward shared outcomes.
  • Build organizational capabilities for long-term platform ownership, engineering excellence, and modernization.
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