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

Senior Developer - Cloud (AWS)

Senseye • Austin, TX, US
30+ days ago
Job type
  • Full-time
Job description

Job Description

Job Description

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.

Requirements

  • 10+ years of professional software development experience, with significant expertise building and deploying production-grade cloud applications on AWS.
  • Deep, hands-on expertise in AWS services : IAM, S3, Lambda, Containers (ECS / EKS), SQS, SNS, RDS, Cognito, API Gateway, and Route 53.
  • Proven history of successful production deployments and long-term operations in AWS environments.
  • Strong knowledge of AWS security best practices, IAM policies, and compliance in regulated environments (FDA, SEC, or equivalent).
  • Expert-level experience with Infrastructure as Code (Terraform).
  • Proficiency in Python and strong object-oriented / data structure fundamentals.
  • Experience with CI / CD tooling, ideally Buddy and Git-based workflows.
  • Familiarity with deploying and managing machine learning pipelines in AWS SageMaker.
  • Strong understanding of secure software development practices.
  • Ability to excel in a dynamic startup environment.
  • Strong analytical skills, excellent communication, and a collaborative IC mindset.
  • Willingness to adopt and experiment with emerging tools such as Claude Code to accelerate development.
  • Passion for staying constantly up to date with new technology as a personal mission.
  • Open, honest, and able to engage in constructive debate while accepting direction.
  • Creative thinker who enjoys solving complex challenges in a friendly environment.
  • Exposure to the healthcare industry and / or Software as a Medical Device is a plus
  • Our Hiring Process

  • Phone screening
  • Testlify Test
  • Two interviews with Senseye manager and peers
  • Final interview with David Zakariaie, Senseye CEO
  • Offer
  • Target timeline :

  • Begin interviews week of 11 / 15
  • Aiming to make an offer by end of November
  • The expected salary band for this position is $165,000-200,000
  • Benefits

  • The freedom and trust to define your role as we design, build, and ship our products
  • Competitive salary and stock option plan
  • Flexible paid time off (vacation, sick leave, and public holidays)
  • Flexible schedules
  • Company health care plan
  • Medical, dental, and vision insurance
  • Short and long term disability insurance
  • Life insurance policy
  • 401k
  • Commuter benefits for parking, public transit, carshares, etc.
  • Mothers' room
  • Fully stocked kitchen
  • Opportunities for continuing education
  • Senseye is dedicated to building a community of employees that are diverse, passionate, and engaged. We are committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, marital status, disability, or veteran status. When we're safe, healthy, and balanced we can accomplish phenomenal things together.

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