Content Sr Manager of Software Engineering

When you mentor and advise multiple technical teams and move financial technologies forward, it’s a big challenge with big impact. You were made for this.

Job responsibilities

• Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers that work on basic to moderately complex tasks
• Accountable for decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures
• Sets and scales operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and operational outcomes; establishes measurable expectations (e.g., throughput, defect reduction, reliability) and ensures consistent validation, security, resiliency, and reuse of proven patterns.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive efficiency and support capacity unlock initiatives across teams, prioritizing reuse of existing firm technology assets.
• Ensures successful collaboration across teams and stakeholders
• Identifies and mitigates issues to execute a book of work while escalating issues as necessary
• Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team
• Develop and enhance content platform using Java Full Stack technologies, React, and Next.js, enabling content life cycle using headless content API across digital channels
• Manage team in building secure external facing applications implementing secure coding practices and efficiently us AI agents to optimize code and solve friction points
• Design solutions keeping modular design, performance, resiliency, scalability and other non-functional criteria in mind
• Design, develop and deploy scalable cloud native applications using AWS including EC2, S3, Lambda, RDS and API Gateway

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience . In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise
• Experience managing teams of technologists
• Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives
• Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including defining governance/ways of working (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and control expectations; ability to coach managers/leads and influence leaders on safe scaling patterns.
• Experience with hiring, developing, and recognizing talent
• Management experience with varying levels of Software Engineers
• Expert level in coding in Java Full stack, React, and Next.js
• Strong hands on AWS (EC2, S3, Lambda, RDS and API Gateway)
• Experience building secure external facing applications with secure coding practices
• Strong Technical Leadership and mentoring experience with varying levels of software engineers in an Agile environment

Preferred qualifications, capabilities, and skills

• Experience with Content Management Systems
• Experience in a very large Financial Services or Banking Technology environment

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