Software Engineering Manager, VP – Private Wealth Technology

Responsibilities

• Lead and mentor a team of full-stack engineers, fostering a culture of technical excellence and continuous improvement.
• Design and implement scalable backend solutions using modern frameworks including C#/.NET, Python, and cloud-native architectures on AWS.
• Design and build scalable data pipelines using dbt, enabling reliable, governed, and analytics-ready datasets across the platform.
• Partner with architects and product leaders to define technical vision, roadmap, and execution strategy for the BXPW technology platform.
• Establish and enforce engineering standards, best practices, and code quality guidelines across the team.
• Build and implement RESTful APIs, microservices architectures, and event-driven systems.
• Drive adoption of CI/CD practices using tools such as GitLab, Terraform, and containerization technologies.
• Partner with data, cloud, security, risk and application teams to ensure platform alignment and control.
• Work with product managers and stakeholders to translate business requirements into technical solutions.
• Recruit, develop, and retain top engineering talent, building a unique and inclusive team culture.
• Utilize Salesforce platform knowledge to support existing integrations and provide technical guidance where needed.

Qualifications

• 10+ years of progressive software engineering experience with at least 3 years in technical leadership roles.
• Strong proficiency in Python and C#, with experience in JavaScript, TypeScript, React, and Node.js for full-stack development.
• Solid understanding of RESTful API design, microservices patterns, data pipelines, relational databases (SQL Server), and NoSQL data stores.
• Experience with infrastructure as code tools like Terraform and containerization technologies.
• Experience with modern CI/CD pipelines and automation tools including GitLab Runners, Dbt, Ona, or similar platforms.
• Familiarity with data warehouse solutions like Snowflake and integration with internal tools and SaaS products including Salesforce.
• Strong problem-solving skills and experience navigating through ambiguity and drive results.
• Knowledge of AI technologies, large language models, and vector databases is a plus.
• Knowledge of Salesforce development and configuration is a plus.
• Experience in the financial services industry or related field is preferred.
• Bachelor's or master’s degree in computer science or a related field.