McGraw Hill
Sr Software Engineer (Full Stack)
🇺🇸 Remote - US
🕑 Full-Time
💰 $120K - $150K
💻 Software Engineering
🗓️ October 30th, 2025
Edtech.com's Summary
- Design, develop, and maintain scalable integration services using Go and TypeScript.
- Lead technical projects, contribute to architecture decisions, and mentor team members.
- Participate in on-call rotation and collaborate with Site Reliability Engineering (SRE) for production reliability.
- Implement observability with metrics, logging, tracing; use monitoring tools like New Relic, Datadog, or CloudWatch.
- Write efficient database queries, optimize indexing, and work with SRE on query performance.
- Build and maintain CI/CD pipelines using GitHub Actions, Docker, Kubernetes, and Terraform.
- Promote testing, high code quality, and maintain technical documentation.
- Champion customer empathy and knowledge sharing across teams.
- Requires a Bachelor's in Computer Science with 3+ years experience or 5+ years in software development.
- Must be proficient in Go and TypeScript/Angular (or React/modern frameworks), with developer-focused observability and cloud infrastructure experience in AWS, Docker, Kubernetes, Terraform.
- Strong understanding of performance, reliability, scalability, and security requirements.
- Comfortable learning domain-specific technologies such as LTI, OAuth, and SAML.
- Compensation range: $120,000 - $150,000 annually plus potential bonuses and benefits.
- Open to applicants authorized to work for any employer in the United States; remote position.
Sr Software Engineer (Full Stack) Full Description
Overview
Impact the Moment
At McGraw Hill we create best-in-class, next-generation learning platforms that are used by millions of students and educators worldwide every day. And we do all of this in a supportive and collaborative environment where we work alongside brilliant colleagues, touch lives around the world, see the difference our hard work makes, and continue our paths of lifelong learning.
Your Impact on Team
We are looking for an experienced Sr Software Engineer (Full Stack) to join our Integrations team, a critical component of McGraw Hill's digital learning ecosystem. You'll design and implement robust integration solutions connecting our learning platforms with third-party LMS systems, authentication providers, and external services. The systems you build handle millions of daily requests, ensuring seamless experiences for students and educators across all our segments.
This is a remote position open to applicants authorized to work for any employer within the United States.
What You'll Do:
- Design, develop, and maintain highly scalable integration services using Go and TypeScript
- Lead technical projects, contribute to architectural decisions, and mentor team members
- Participate in on-call rotation and collaborate with SRE to ensure production reliability through proactive issue identification and rapid incident response
- Implement observability in your code (metrics, logging, tracing) and work with monitoring tools to track application health and performance
- Write performant database queries, implement proper indexing strategies, and collaborate with SRE on query optimization
- Build and maintain CI/CD pipelines using GitHub Actions, Docker, Kubernetes, and Terraform
- Promote engineering best practices including comprehensive testing, code quality, and technical documentation
- Champion customer empathy and share knowledge across engineering teams
About You:
- Bachelor's in computer science with 3+ years of work experience or 5+ years of experience in product or enterprise software development
- Highly proficient in Go and TypeScript/Angular (or react/other modern frameworks)
- Developer-focused observability experience: Instrumenting code with metrics, structured logging, and traces; using tools like New Relic, Datadog, or CloudWatch to debug and monitor application behavior
- Database engineering from a developer perspective: Write efficient queries, understanding indexes, identifying slow queries, and optimizing application data access patterns
- Hands-on cloud and infrastructure experience: AWS (EKS, RDS), Docker, Kubernetes, Terraform, and CI/CD pipelines
- Strong understanding of non-functional requirements including performance, reliability, scalability, and security
- Excellent problem-solving and communication skills with passion for engineering best practices
- Comfort with learning domain-specific knowledge (LTI, OAuth, SAML) and working across functional boundaries
We Value:
- Production-focused mindset: Engineers who think beyond "happy path" scenarios and design for production resilience
- Professionals who leverage modern tools (including GitHub Copilot) while maintaining code quality and operational awareness
- Team members committed to taking ownership of their code in production
Why McGraw Hill?
The work you do at McGraw Hill will be work that matters. We are collectively designing content that will build the future of education. Play your part and experience a sense of fulfilment that will inspire you to even greater heights.
The pay range for this position is between $120,000- $150,000 annually; however, base pay offered may vary depending on job-related knowledge, skills, experience, and location. An annual bonus plan may be provided as part of the compensation package, in addition to a full range of medical and/or other benefits, depending on the position offered. Click here to learn more about our benefit offerings.
McGraw Hill recruiters always use a "@mheducation.com" or "@careers.mheducation.com" mail address and/or from our Applicant Tracking System, iCIMS. Any variation of this email domain should be considered suspicious. Additionally, McGraw Hill recruiters and authorized representatives will never request sensitive information in email.
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McGraw Hill uses an automated employment decision tool (AEDT) to assist in the screening process by recommending candidates with "like skills" based on resume and job data. To request an alternative screening process, please select "Opt-Out" when asked to "Consent to use of Automated Employment Decision Tools" during the application.
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