Suki Ai
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Develop backend services for a digital assistant in the health-tech space using Golang and Python. Standardize and improve platform scalability and usability. Collaborate with a multidisciplinary team to push the limits of technology in medicine.
Create engaging product experiences on iOS/Android and services that delight and empower doctors. Work with product, design, and operations teams to build and support the best product. Contribute to reducing the administrative burden faced by doctors. Have expertise in coding, be action-oriented, creative, problem-solving, humble, adaptable, and confident.
As a Machine Learning Engineer II (NLP) at Suki, you will work on improving computational infrastructure using NLP techniques, scaling platforms for thousands of doctors, and implementing microservices architecture. Key skills include NLP, deep neural networks, and CS fundamentals.
As a Senior SDET at Suki, you will be responsible for owning and driving the functionality, performance, and stress test roadmap for Suki’s advanced AI/ML driven platform. You will develop automated tests, testing tools, and processes, collaborating with various teams in an agile development environment.
Build enterprise-grade Cloud infrastructure, automate GCP tasks and Kubernetes deployments, resolve support tickets, design scalable microservices deployments, provision networking, participate in on-call support, and be a dynamic technical resource in a startup environment.
Join as a Software GoLang Developer at a health tech company revolutionizing healthcare with a voice user interface. Collaborate on building distributed services, implement microservices, ensure code quality, and maintain CI/CD tools. Ideal candidate has over 2 years of experience in product development, proficiency in Go, strong in data structures and algorithms, excellent communication skills, and ability to work effectively in cross-functional teams.
As an SDET III at Suki, you will be responsible for functionality, performance, and stress testing of Suki's AI/ML driven platform. You will develop automated tests, testing tools, and processes, collaborating with various teams in an agile environment.
Lead a team of devops engineers to build enterprise-grade cloud infrastructure, create cloud standards, automate GCP tasks, resolve support tickets, design microservices deployments, provision networking, build CI/CD processes, and provide on-call support in a fast-paced startup environment.
Creating enterprise-grade Cloud infrastructure using GCP, Kubernetes, and automation tools. Managing support tickets, designing scalable microservices deployments, and leading CI/CD processes. Strong emphasis on DevOps practices and SRE tools.
As a Customer Success Business Operations Associate at Suki, you will support internal teams with data entry, process maintenance, and driving process improvement efforts. Responsibilities include CRM accuracy, documentation management, and identifying efficiency opportunities.