AI Software Engineering Manager

New

Skills

Agile Agile Methodologies Architecture AWS CI/CD Cloud Devops Docker Full-stack Development Microservices Node.js React Restful Apis Serverless Software Engineering

Join G-P as an AI Software Engineering Manager, leading agile teams to develop robust, scalable web applications for our AI-powered HR platform, G-P Gia™. You will drive technical excellence, guide software engineers, and collaborate cross-functionally to deliver innovative solutions that transform global HR compliance.

Job Overview

As a hands-on leader, you will oversee full-stack development using modern cloud technologies, foster a high-performing engineering culture, and ensure delivery of secure, high-quality software. Partner with Product, Architecture, and other stakeholders to shape solution architecture and execution strategies, while mentoring and growing engineering talent.

Key Responsibilities
  • Lead and grow software engineering teams, fostering collaboration and innovation.
  • Partner with Product Managers and Architects to define technical direction and solution architecture.
  • Drive design, development, testing, and deployment of scalable web applications using cloud native technologies.
  • Ensure engineering excellence through code reviews, design reviews, and technical mentorship.
  • Own team delivery, ensuring timely shipping of high-quality features and meeting SLAs/KPIs.
  • Collaborate cross-functionally to understand user needs and translate business goals into technical solutions.
  • Promote agile practices and evolve SDLC/DevOps processes for productivity and reliability.
  • Play a key role in hiring, onboarding, and developing engineering talent.
  • Stay current with industry trends, emerging technologies, and best practices.
Required Skills & Qualifications
  • 10+ years of professional software engineering experience focused on web applications.
  • 5+ years in technical leadership and engineering management roles.
  • Expertise in React and Node.js.
  • Strong experience with AWS, including serverless and container technologies.
  • Deep understanding of RESTful APIs, microservices architecture, and CI/CD pipelines.
  • Solid grasp of Agile methodologies and iterative software delivery.
  • Experience with distributed teams and building high-performing engineering cultures.
  • Excellent communication, mentoring, and stakeholder management skills.
  • Background checks required for employment.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: 12.0 Months

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