Special Education • Psychology • Dyslexia • TelePsychology • Digital Health
11 - 50 employees
📚 Education
Yesterday
Special Education • Psychology • Dyslexia • TelePsychology • Digital Health
11 - 50 employees
📚 Education
• About Marker Learning: • Marker Learning is on a mission to help schools and parents access more affordable and accessible learning disability (e.g., dyslexia) assessments. • Join us in our mission to inspire and support all students on their unique learning paths! • At Marker Learning, you’ll play a pivotal role in shaping the future of education technology as part of our engineering team during an exciting evolution into a cutting-edge SaaS platform. • We are developing specialized AI-powered solutions that harness structured and unstructured data to make the diagnostic process more efficient and insightful. • As our first dedicated Infrastructure Engineer, you’ll take the lead on transformative projects and work closely with Product Engineering, Product Management, Design, and Operations to create high-performing, scalable solutions. • Join us to make a difference in the lives of students and educators while advancing your career at the intersection of technology and impactful care. • What a day in the life looks like: • Be the first Infrastructure Engineer at Marker, taking on leadership responsibilities and driving a diverse range of high-impact projects. • Design, implement, and deploy infrastructure solutions for customer applications, ensuring scalability, security, and reliability. • Collaborate across teams—including design, operations, and product management—to understand user needs and identify impactful engineering opportunities. • Drive engineering design reviews and champion technical excellence to deliver high-quality solutions. • Shape the medium- and long-term product and infrastructure strategy to align with company goals and user needs.
• Extensive experience in software engineering with a focus on cloud-based infrastructure design and deployment. • Proficiency in scripting and automation languages (e.g., Python, Bash) and expertise in infrastructure as code (IaC) tools like Terraform. • Deep knowledge of containerization and orchestration technologies such as Docker and Kubernetes. • Strong background in cloud platforms like GCP, AWS, or Azure, with a focus on scalability and performance. • Experience with monitoring and logging tools (e.g., Sentry, Prometheus, ELK stack). • A solid understanding of security best practices in infrastructure design and management. • Exceptional communication skills, enabling you to work effectively with technical and non-technical stakeholders. • Experience implementing HIPAA compliance requirements. • Background in security and privacy-focused infrastructure design. • Familiarity with machine learning and data science infrastructure.
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