Senior Manager of Software Engineering -Front office trading

Job Responsibilities

• Provides guidance to the immediate team of software engineers on daily tasks and activities to execute creative software solutions, including design, development, and technical troubleshooting.
• Develops secure high-quality production code and sets the overall guidance and expectations for team output, practices, and collaboration.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
• Anticipates dependencies with other teams and leads evaluation sessions with external vendors and internal teams to drive outcome-oriented designs and ensure applicability within existing systems and information architecture.
• Manages stakeholder relationships and the team's work in accordance with compliance standards, service level agreements, and business requirements.
• Creates a culture of diversity, opportunity, inclusion, and respect for the team member's
• 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.

Required Qualifications, Capabilities, And Skills

• Formal training or certification on software engineering concepts and 5 years of applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s)- Java or Python
• Hands-on experience with AWS cloud services (e.g., EC2, S3, Lambda, RDS, etc.)
• Experience designing, developing, and deploying scalable applications in cloud environments
• Familiarity with microservices architecture and RESTful API development is needed
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes)
• Experience with modern monitoring and logging tools (e.g., DataDog, Dynatrace, Splunk)
• Experience with software development best practices, including code reviews, testing, and CI/CD pipelines
• 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

Preferred Qualifications, Capabilities, And Skills

• Experience in architecting large-scale, distributed systems
• Ability to drive technical strategy and influence engineering best practices across teams
• Strong stakeholder management and the ability to align technical solutions with business goals
• Prior experience supporting trade execution platforms and familiarity with investment banking products - fixed income and derivatives