Staff Software Engineer DICOM at RapidAI

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, AI, Medical ImagingIndustries

Requirements

Candidates must possess a Bachelor’s degree or equivalent (BTech/BE with 4 years of experience) and a minimum of 8 years of experience in software development, including 5+ years in backend development and 2+ years specifically utilizing Node.js, TypeScript, and Amazon AWS. Furthermore, they should have 2+ years of development experience within the DICOM Healthcare domain, along with a strong foundation in distributed system design and proficiency in at least one general-purpose backend language and one frontend language, demonstrating a willingness to learn new technologies.

Responsibilities

The Staff Software Engineer will be responsible for designing complex systems and architectures, ensuring scalability, performance, and reliability of those systems, and planning technical projects with milestone deliverables. They will coordinate engineers, build impactful technical solutions, conduct code reviews, debug difficult issues, research new technologies, evaluate technical options, and create documentation. Additionally, they will collaborate cross-functionally, communicate complex technical concepts, and troubleshoot issues effectively within a distributed architecture, while also contributing to training materials and tech talks to share knowledge with the broader engineering organization.

Skills

DICOM

System Architecture

Scalability

Performance Optimization

Code Review

Debugging

Technical Leadership

RapidAI

AI software for vascular condition detection

About RapidAI

With a pivotal role in enhancing clinical decision-making, this company offers a robust AI-driven platform that assists in detecting and managing severe vascular and neurovascular conditions. Leveraging intelligence from over 10 million scans, it empowers healthcare professionals in more than 2,000 hospitals to make quicker, more informed decisions. Working here not only places you at the forefront of medical technology partnerships but also within a culture dedicated to impactful innovation and elevated patient care.

Menlo Park, CaliforniaHeadquarters

2012Year Founded

$97.7MTotal Funding

SERIES_CCompany Stage

AI & Machine Learning, HealthcareIndustries

201-500Employees