Signify Technology
Job title:
Staff Site Reliablity Engineer Job type:
Full Time Salary:
Competitive, Based on Experience Role Location:
Palo Alto, California About the Role: As a Staff Software Engineer, you will work alongside a dynamic team of engineers, applied scientists, and healthcare professionals to drive advancements in our generative AI technologies. Your focus will be on building and optimizing the backend infrastructure of our core healthcare AI platform, supporting scalable, secure, and reliable data processing for AI applications in healthcare. Responsibilities: Architect, develop, and maintain scalable backend infrastructure to support high-performance healthcare AI applications. Collaborate with research scientists and ML engineers to build data pipelines that efficiently handle large-scale healthcare datasets. Develop and manage APIs and microservices for seamless data retrieval, processing, and model interaction. Implement advanced data security and privacy protocols to ensure robust patient data protection. Continuously monitor and enhance backend systems to maximize performance, reliability, and uptime. Work with product managers to translate healthcare needs into technical solutions that enhance patient outcomes. Mentor junior engineers, providing guidance on technical projects and fostering a culture of collaboration and innovation. Qualifications: Bachelors or Masters degree in Computer Science, Computer Engineering, or a related field. 7+ years of experience in backend development
with proficiency in languages like
Python , Java, or Go. Strong understanding of SaaS,
and cloud orchestration software. In-depth knowledge of cloud platforms
GCP or Azure Docker ,
Kubernetes , CI/CD and cloud networking. GCP , or
Azure Strong understanding of data security, privacy measures, and data modeling. Excellent communication skills and experience working collaboratively within cross-functional teams. Preferred: Familiarity with cutting-edge LLM tools and frameworks such as Langchain. Previous experience in healthcare-related technologies or regulated data environments. Expertise in vector databases and retrieval systems optimized for high-performance AI/ML applications.
Staff Site Reliablity Engineer Job type:
Full Time Salary:
Competitive, Based on Experience Role Location:
Palo Alto, California About the Role: As a Staff Software Engineer, you will work alongside a dynamic team of engineers, applied scientists, and healthcare professionals to drive advancements in our generative AI technologies. Your focus will be on building and optimizing the backend infrastructure of our core healthcare AI platform, supporting scalable, secure, and reliable data processing for AI applications in healthcare. Responsibilities: Architect, develop, and maintain scalable backend infrastructure to support high-performance healthcare AI applications. Collaborate with research scientists and ML engineers to build data pipelines that efficiently handle large-scale healthcare datasets. Develop and manage APIs and microservices for seamless data retrieval, processing, and model interaction. Implement advanced data security and privacy protocols to ensure robust patient data protection. Continuously monitor and enhance backend systems to maximize performance, reliability, and uptime. Work with product managers to translate healthcare needs into technical solutions that enhance patient outcomes. Mentor junior engineers, providing guidance on technical projects and fostering a culture of collaboration and innovation. Qualifications: Bachelors or Masters degree in Computer Science, Computer Engineering, or a related field. 7+ years of experience in backend development
with proficiency in languages like
Python , Java, or Go. Strong understanding of SaaS,
and cloud orchestration software. In-depth knowledge of cloud platforms
GCP or Azure Docker ,
Kubernetes , CI/CD and cloud networking. GCP , or
Azure Strong understanding of data security, privacy measures, and data modeling. Excellent communication skills and experience working collaboratively within cross-functional teams. Preferred: Familiarity with cutting-edge LLM tools and frameworks such as Langchain. Previous experience in healthcare-related technologies or regulated data environments. Expertise in vector databases and retrieval systems optimized for high-performance AI/ML applications.