Senior Software Engineer - Infrastructure

Marker Learning • San Francisco Bay Area, California, United States • 4w ago

The Role:

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. Our mission is to empower psychologists and clinicians with innovative tools that streamline assessments, diagnoses, reporting, and evaluation management, driving better outcomes for students and schools.

We are developing specialized AI-powered solutions that harness structured and unstructured data to make the diagnostic process more efficient and insightful. This technology is revolutionizing how professionals manage complex evaluations, allowing them to focus on delivering impactful care.

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. Your contributions will have a direct and meaningful impact on students, psychologists, schools, and our internal teams.

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.

What you'll bring to Marker:

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.