Manager, Software Engineering

Role Overview

• Own engineering delivery, maintenance, and production support for assigned product or platform areas.
• Deliver new features and optimize existing components with a focus on code quality, scalability, performance, security, and maintainability.
• Ensure effective incident response, troubleshooting, and operational execution for production systems.
• Lead sprint planning, prioritization, and execution to drive predictable delivery.
• Provide hands-on technical leadership through design reviews, code reviews, and deployment oversight.
• Directly manage software engineers and/or technical leads, including coaching, feedback, and career development.
• Partner with Product, Architecture, QA, and Operations to ensure quality, alignment, and production readiness.
• Support modernization initiatives, including cloud-native development and technical debt reduction.
• Encourage adoption of AI-assisted SDLC tools to improve engineering velocity and effectiveness while maintaining standards.
• Support development of AI-enabled capabilities following strong practices for quality, security, privacy, and reliability.
• Support recruiting, onboarding, and training of software engineering staff.

Requirements

• Education: Specify the minimum education level needed (e.g., bachelor’s degree, specific certifications).
• Own engineering delivery, maintenance, and production support for assigned product or platform areas.
• Deliver new features and optimize existing components with focus on code quality, scalability, performance, security, and maintainability.
• Ensure effective incident response, troubleshooting, and operational execution for production systems.
• Lead sprint planning, prioritization, and execution to drive predictable delivery.
• Provide hands-on technical leadership through design reviews, code reviews, and deployment oversight.
• Directly manage software engineers and/or technical leads, including coaching, feedback, and career development.
• Partner with Product, Architecture, QA, and Operations to ensure quality, alignment, and production readiness.
• Support modernization initiatives, including cloud-native development and technical debt reduction.
• Encourage adoption of AI-assisted SDLC tools to improve engineering velocity and effectiveness while maintaining standards.
• Support development of AI-enabled capabilities following strong practices for quality, security, privacy, and reliability.
• Support recruiting, onboarding, and training of software engineering staff.

Tech Stack

• Cloud
• SDLC

Benefits

• Competitive health plans
• Paid time-off
• Company paid holidays
• 401K retirement program with a Company elected match