Software Engineering Manager, Infrastructure
The Meta Game, Inc.
Concord, United States of America
1 month ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Intermediate Compensation
$ 257KJob location
Concord, United States of America
Tech stack
Artificial Intelligence
Distributed Systems
Software Engineering
Information Technology
Job description
Meta is seeking a highly motivated and experienced Software Engineering Manager to join our team. As an engineering manager you will support, enable and empower your team, managing high performing engineers to make a meaningful impact on billions of people around the world. Software Engineering Managers are clearly characterized by progressive technical experience and demonstrated progression in management responsibility., 1. Lead and manage a team of software engineers to deliver high-quality products and solutions
- Collaborate with cross-functional teams to drive technical innovation
- Develop and implement technical strategies to achieve business objectives
- Foster an environment of continuous learning, growth, and improvement
Requirements
- Experience supporting, coaching, mentoring, and developing software engineers
- 8+ years of, or PhD + 4 years of software engineering work experience, including hands on technical management
- 2+ years of experience in managing a team of engineers with varied skill levels
- Bachelor of Science/Masters in Computer Science or equivalent practical experience
- Demonstrated experience recruiting, building, structuring, and leading technical organizations, including performance management, 1. Hands-on technical management building large scale distributed systems
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
