Lead Software Engineer - Backend

McGraw Hill is a global education technology company dedicated to transforming education through digital learning experiences. They are seeking a Lead Back End Engineer to architect and implement scalable, high-performance, and secure server-side solutions for their platform, while mentoring a team of developers and collaborating with cross-functional teams.

Responsibilities:

• Architecture & Development: Design, develop, and maintain highly scalable, secure, and efficient back-end systems and APIs to support web and mobile applications
• Collaboration: Partner with front-end engineers, product managers, and other stakeholders to deliver seamless and robust platform functionality
• Leadership: Mentor and lead a team of back-end developers, providing guidance on technical challenges and fostering professional growth within the team
• Code Quality: Ensure high-quality, maintainable code through rigorous reviews, automated testing, and adherence to industry best practices
• Optimization: Continuously optimize server performance, database queries, and overall system scalability and reliability
• Strategic Alignment: Define back-end engineering objectives that align with overall product and engineering strategies, ensuring long-term platform success
• Monitoring & Incident Management: Implement and maintain observability tools to monitor system performance and resolve incidents, including off-hours support when needed
• Continuous Improvement: Drive the adoption of modern tools, technologies, and methodologies to enhance development efficiency and team productivity

Requirements:

• Bachelor's degree in related field or equivalent experience preferred
• Minimum of 7+ years of applicable experience
• Expertise in server-side programming languages such as Python, Java, Node.js, Ruby, or Go
• Proficiency in designing efficient GraphQL APIs & microservices for low latency and high availability systems
• Deep understanding of database technologies, both relational (e.g., PostgreSQL, MySQL) and non-relational (e.g., MongoDB, DynamoDB)
• Experience in cloud environments (e.g., AWS, GCP, or Azure) and infrastructure as code tools like Terraform or CloudFormation
• Strong knowledge of system performance optimization, caching strategies, and distributed systems
• Experience with observability tools like New Relic, Datadog, or equivalent for performance monitoring
• Familiarity with CI/CD pipelines and DevOps practices
• Strong understanding of web security best practices and OWASP guidelines
• Experience with SRE practices, including CI/CD pipelines, infrastructure as code, and monitoring
• Experience with containerization and orchestration (e.g., Docker, Kubernetes)
• Familiarity with product analytics and observability tools like: Datadog, NewRelic
• Experience with modern content management systems (CMS), including integrating and customizing CMS platforms for dynamic content delivery