Senior Developer - Cloud (AWS), Senseye, TX, US

We are seeking an experienced Senior Cloud Developer with deep expertise in AWS infrastructure to join our high-performing team. This role requires a seasoned technologist who can architect, build, and deploy scalable, secure, and maintainable cloud-native applications in collaboration with cross-functional teams, including Product, Research, and Machine Learning. The ideal candidate will bring strong Infrastructure as Code (Terraform) skills, robust experience across a wide range of AWS services, and a commitment to secure, high-quality software development practices in regulated environments. This is a critical individual contributor role for someone who thrives in a fast-paced, startup environment and is passionate about driving innovation in cloud engineering.

About Us

Senseye is a NeuroTechnology Company in Austin, TX on the cusp of revolutionizing Mental Health. Over the past 6 years we have invested millions of dollars in R&D to build our platform allowing us to measure cognitive activity via the eye through mobile phones. Through multiple iterations and use cases we are now focused on building the world's first objective mental health diagnostic on top of our core technology. Our first diagnostic is for PTSD and is entering clinical trials now, followed soon by additional indications for Anxiety and Depression. As the world struggles with a mental health crisis, it is not hyperbolic to suggest that an objective diagnostic platform, that gives clinicians a safe and objective accurate approach to identifying and monitoring mental health disease, will redefine how mental health services are provided, and will enable access to treatment for millions of sufferers. The Senseye platform has the potential to be the technology that drives this change. This is a great opportunity to shape the future of digital medicine and address unmet medical needs that affect billions of people worldwide.

Responsibilities

• Define, build, test, and deploy innovative cloud-native applications and services leveraging AWS infrastructure.
• Partner with Product, Research, and Machine Learning teams in designing and delivering scalable solutions that meet internal and external needs.
• Provide expert-level technical input on architecture, design, and implementation of high-quality cloud applications that excel in scalability, performance, and security.
• Actively participate in the agile software development process to ensure timely and successful delivery of features.
• Use best practices to deliver high-quality, maintainable, and secure code.
• Design and implement Infrastructure as Code solutions using Terraform.
• Build and manage CI/CD pipelines with Git and Buddy to streamline deployments.
• Build, test, and optimize cloud-based features and services from design through production deployment.
• Integrate secure, scalable APIs using AWS API Gateway, Lambda, and related services.
• Support deployment of machine learning pipelines using AWS SageMaker and associated services.