Director of Software Engineering
Role details
Job location
Tech stack
Job description
MOGEL, on behalf of a leading edtech company, is seeking a hands-on Director of Software Engineering to lead and scale engineering teams building highly scalable, AI-native EdTech products used by millions of learners worldwide. This leader will drive engineering excellence, modernization initiatives, and AI-powered development practices while delivering secure, resilient, and high-availability platforms. The ideal candidate has deep experience architecting enterprise-scale B2C applications, leading high-performing engineering organizations, and leveraging AI tools and cloud-native technologies to accelerate software delivery., * Lead, mentor, and scale high-performing engineering teams, including managers and senior engineers.
- Drive AI-native software development practices using tools such as Claude Code and GitHub Copilot.
- Lead modernization and refactoring initiatives for complex legacy systems.
- Provide architectural leadership for scalable, secure, cloud-native applications.
- Remain hands-on with code reviews, technical design, and engineering best practices.
- Establish and improve SDLC processes, CI/CD, observability, testing, and operational excellence.
- Partner with Product and Business stakeholders to translate requirements into technical solutions.
- Manage engineering delivery, platform reliability, scalability, and release quality.
- Lead Agile and Lean engineering practices across distributed teams.
Requirements
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Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).
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14+ years of software engineering experience.
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6+ years of engineering leadership/management experience.
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Proven experience building high-scale, high-availability B2C platforms.
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Strong expertise in:
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React, JavaScript, HTML5, CSS3
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Java, C#, ASP.NET, .NET Core
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REST APIs & Microservices
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Experience with SQL Server, PostgreSQL, MongoDB, and Redis.
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Strong AWS cloud experience.
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Experience with LLMs, MLOps, Data & AI platforms.
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Experience implementing AI-assisted engineering workflows.
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Ability to travel up to 25%.
Preferred Qualifications
- Experience leading digital transformation and modernization initiatives.
- Strong architectural and operational leadership skills.
- Passion for mentoring engineering teams and driving innovation.