Senior Engineering Manager

in Information Technology
  • Remote, New York View on Map
  • Salary: $170,000.00 - $190,000.00
Permanent

Job Detail

  • Experience Level Manager
  • Degree Type Bachelor of Science (BS)
  • Employment Full Time
  • Working Type Remote
  • Job Reference 0000019003
  • Salary Type Annually
  • Industry SAAS
  • Selling Points

    Lead impactful engineering initiatives in a dynamic SaaS environment. Drive innovation using AI tools and cloud technologies. Mentor teams and contribute hands-on to software development.

Job Description

Overview

  • Lead engineering teams in developing innovative SaaS solutions using cutting-edge technologies.
  • Collaborate with cross-functional teams to deliver high-quality software products.
  • Implement best practices in software development and team management.
  • Drive adoption of AI tools to enhance productivity and code quality.
  • Contribute hands-on to backend and frontend development projects.
  • Ensure scalability and security of cloud-based solutions.
  • Mentor and develop engineering talent within the organization.
  • Stay updated on industry trends and integrate relevant advancements.

Key Responsibilities & Duties

  • Oversee multiple engineering teams to ensure delivery excellence and roadmap execution.
  • Provide technical leadership in solution architecture and design.
  • Drive innovation in product development and engineering processes.
  • Collaborate with stakeholders to align engineering deliverables with business goals.
  • Implement modern AI development tools and practices within teams.
  • Ensure comprehensive documentation of technical processes and architecture.
  • Recruit, mentor, and develop a skilled engineering team.
  • Support customer service teams in resolving technical issues.

Job Requirements

  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • 7-10 years of experience in full-stack development using .NET and Angular.
  • 5+ years of experience leading engineering teams in an Agile environment.
  • Proficiency in cloud-based solutions and security best practices.
  • Hands-on experience with AI tools and frameworks.
  • Strong organizational and prioritization skills.
  • Experience with AWS components and infrastructure.
  • Excellent communication and leadership abilities.
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