DevOps Engineer

HMH is a learning technology company committed to delivering connected solutions that engage learners, empower educators, and improve student outcomes. As a leading provider of K–12 core curriculum, supplemental and intervention solutions and professional learning services, HMH partners with educators and school districts to uncover solutions that unlock students potential and extend teachers capabilities. HMH serves more than 50 million students and 4 million educators in 150 countries.

We are evolving our digital infrastructure by embracing Agentic AI systems to enable smarter automation, self-healing pipelines, intelligent incident response, and dynamic infrastructure scaling, keeping us at the forefront of educational technology innovation.

Technical Infrastructure: 

• Cloud & Infrastructure: AWS EC2, Terraform Enterprise, Docker, Aurora, Mesos, Kubernetes, ELK (Elastic Search, Logstash & Kibana).
• Observability & Automation: Grafana, Prometheus, Datadog, Telegraf, Runscope, Apollo, GraphQL.
• Development Stack: Microservices architecture, Spring, Java & NodeJS, React, Express.js.
• Data & Storage: Amazon RDS, Dynamo DB, Postgres, Oracle, MySQL, Influx DB, Linux, Jenkins, GitHub.
• AI & Agentic Automation: AWS Bedrock LLMs and AWS Bedrock Engineer for building and integrating scalable, low-latency AI-driven automation capabilities.
• You can read more on our Engineering Blog - here.
  
  

• Identify and solve the most critical infrastructure challenges to improve system reliability, scalability, and performance.
• Design, test, and implement AI-enhanced DevOps workflows, including autonomous agents for monitoring, remediation, and optimization.
• Partner with SRE and development teams to build robust, self-service deployment pipelines and infrastructure tooling.
• Evaluate new technologies to continuously improve system automation, cost efficiency, and security.
• Work with AI-enhanced monitoring and self-healing infrastructure components powered by agentic patterns.
  
  

• Build, maintain, and evolve cloud infrastructure with Infrastructure as Code (Terraform, CloudFormation).
• Manage containerized workloads (Docker, Kubernetes) at scale, with a focus on extending capabilities through AI-driven orchestration.
• Implement and maintain advanced monitoring, observability, and alerting systems enhanced with agent-based analytics.
• Automate workflows to reduce manual intervention and accelerate delivery cycles.
• Collaborate with cross-functional teams to ensure infrastructure meets the needs of high-availability, low-latency applications.
• Regularly review and optimize existing architecture for cost, security, and performance improvements.
  
  

• 3 to 5 years of hands-on SRE/DevOps experience in Agile environments
• Strong AWS experience in a production setting.
• Strong knowledge and skills of AI-enhanced DevOps workflows and agentic infrastructure models.
• Proficiency in diagnosing outages and restoring service with urgency.
• Infrastructure as Code expertise (Terraform, CloudFormation).
• Experience with containerization (Docker, Kubernetes).
• Familiarity with CI/CD tools, scripting languages, and observability platforms.
• Strong collaboration skills, with the ability to influence and guide best practices
  
  

• RDBMS expertise and Linux fluency
• Event-driven systems and message queue management
• Security, including firewalls, load balancing, secret management