Verified Job
IT / Software / Data Analyst
Staff Software Engineer – EdTech Architecture & AI Integration
IT / Software / Data Analyst
#54009
Remote / WFH
GradeBuzz
Job Description
Job description
Job Summary
GradeBuzz is seeking a highly experienced and visionary Staff Software Engineer to lead the design and evolution of our EdTech platform architecture, with a strong focus on AI-driven learning solutions. This role is pivotal in shaping scalable systems, mentoring engineering teams, and integrating cutting-edge artificial intelligence to enhance personalized education experiences. You will collaborate cross-functionally to build robust, secure, and high-performing systems that serve thousands of learners daily.
Key Responsibilities
Architect and design scalable, resilient, and high-performance backend and frontend systems for EdTech platforms.
Lead the integration of AI/ML models into production systems, including recommendation engines, adaptive learning, and analytics tools.
Collaborate with product managers, designers, and data scientists to translate business needs into technical solutions.
Drive engineering best practices, including code quality, testing, CI/CD, and system reliability.
Mentor and guide senior and mid-level engineers, fostering a culture of technical excellence.
Evaluate and implement modern technologies, frameworks, and tools to improve system performance and developer productivity.
Ensure system security, data privacy, and compliance with industry standards.
Participate in strategic planning and contribute to long-term technology roadmaps.
Required Skills and Qualifications
Bachelors or Masters degree in Computer Science, Engineering, or a related field.
Strong expertise in system architecture, distributed systems, and cloud platforms (AWS, GCP, or Azure).
Proficiency in programming languages such as JavaScript/TypeScript, Python, Java, or Go.
Job Summary
GradeBuzz is seeking a highly experienced and visionary Staff Software Engineer to lead the design and evolution of our EdTech platform architecture, with a strong focus on AI-driven learning solutions. This role is pivotal in shaping scalable systems, mentoring engineering teams, and integrating cutting-edge artificial intelligence to enhance personalized education experiences. You will collaborate cross-functionally to build robust, secure, and high-performing systems that serve thousands of learners daily.
Key Responsibilities
Architect and design scalable, resilient, and high-performance backend and frontend systems for EdTech platforms.
Lead the integration of AI/ML models into production systems, including recommendation engines, adaptive learning, and analytics tools.
Collaborate with product managers, designers, and data scientists to translate business needs into technical solutions.
Drive engineering best practices, including code quality, testing, CI/CD, and system reliability.
Mentor and guide senior and mid-level engineers, fostering a culture of technical excellence.
Evaluate and implement modern technologies, frameworks, and tools to improve system performance and developer productivity.
Ensure system security, data privacy, and compliance with industry standards.
Participate in strategic planning and contribute to long-term technology roadmaps.
Required Skills and Qualifications
Bachelors or Masters degree in Computer Science, Engineering, or a related field.
Strong expertise in system architecture, distributed systems, and cloud platforms (AWS, GCP, or Azure).
Proficiency in programming languages such as JavaScript/TypeScript, Python, Java, or Go.
