Sr Manager, Software Development Engineering (Java Fullstack)

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• Lead the design and delivery of full-stack software capabilities for investment research initiatives, setting technical direction while remaining hands-on across design, development, and support.
• Partner with product owners, researchers, architects, and engineering leaders to translate business strategy into technical roadmaps and clear delivery plans.
• Own the architecture for cloud-ready, event-driven services and integration patterns, driving scalability, reliability, and reuse across the broader platform.
• Champion engineering excellence across the team through clean code, automated testing, observability, and secure-by-design delivery standards.
• Advance the team’s delivery model by maturing CI/CD workflows and DevOps practices to improve quality and speed to production.
• Lead the resolution of complex production and integration issues, and drive long-term resiliency and operational improvements.
• Grow and develop engineers through coaching, mentoring, feedback, and inclusive collaboration, building team capability and technical depth at scale.
• Set direction with ownership and transparency, communicating priorities, tradeoffs, risks, and progress to technical and senior business stakeholders.
• Drive modernization initiatives that improve user experience and align teams to evolving architecture standards.
• Establish responsible use of approved Generative AI capabilities to improve developer productivity and code quality, within enterprise governance, security, and compliance expectations.

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• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field, or equivalent practical experience.
• 7 + years of experience developing production-grade applications using Java (Spring Boot) and Python, including senior technical leadership on complex initiatives.
• Demonstrated experience providing technical leadership across teams—setting architecture direction, driving technical decisions, and mentoring engineers.
• Demonstrated ability to build cloud-ready, event-driven microservices and APIs at scale using common messaging patterns (e.g., Kafka, RabbitMQ) and RESTful services.
• Proven experience designing and building hybrid on-premises and cloud integrations.
• Strong working knowledge of SQL (e.g., PostgreSQL) and NoSQL technologies (e.g., MongoDB, DynamoDB, Bigtable), and sound judgment on when to apply each.
• Interest to work with financial datasets and partner effectively on data engineering workflows and analytics use cases.
• Hands-on experience using CI/CD and container-based delivery practices (e.g., GitHub CI/CD, Docker, Kubernetes, Bamboo/Jenkins).
• Working knowledge of secure coding and code quality practices using common analysis tools (e.g., SonarQube, CodeQL , Veracode).
• Demonstrated skill in designing maintainable solutions using established engineering standards (e.g., SOLID principles, 12-Factor App), appropriate data structures, algorithms, and modern design patterns. ​

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• Experience modernizing data platforms or research technology in a regulated industry (financial services is a plus).
• Familiarity with rules engines (e.g., Drools) and data lake patterns for large-scale time series datasets.
• Working familiarity with investment research, asset management, or another regulated financial data domain (e.g., risk, compliance, or regulatory reporting workflows).
• Experience collaborating with quantitative partners to enable or operationalize models (Python or R).
• Demonstrated ability to balance near-term delivery with longer-term architecture evolution and platform scalability.
• Experience building data visualizations or dashboards using Python-based tooling (e.g., Plotly Dash or similar).
• Strong prioritization and communication skills, including comfort explaining complex technical concepts to diverse audiences.
• A continuous improvement mindset—bringing ideas that strengthen team delivery, quality, and collaboration.
• Experience leading cross-team technical initiatives or influencing engineering practices beyond a single team.