Lead Software Engineer DICOM at RapidAI

Bengaluru, Karnataka, India

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Medical Imaging, Artificial IntelligenceIndustries

Requirements

Bachelor’s Degree or equivalent (BTech/BE 4 years)
7+ years of experience in software development and demonstrated engineering leadership
4+ years of experience in backend development
2+ years in using Node JS, Typescript and Amazon AWS
2+ years of development experience in DICOM Healthcare domain
High level of skill in at least one general-purpose backend language and one frontend language, but willingness to work with other languages if required
High level of distributed system design skill
Creating platforms, reusable libraries, and utilities wherever applicable
Writing high-quality code that is modular (microservices), functional, and testable
Troubleshoot issues effectively in a distributed architecture
Communicate, collaborate and work effectively in a global environment
Solid analytical and reasoning skills for design, troubleshooting and root cause analysis
Great communication skills with technical and non-technical teams

Responsibilities

Design complex systems and architectures for their area of specialization
Ensure scalability, performance, and reliability of those systems
Plan technical projects and milestone deliverables in alignment with product managers
Coordinate engineers and their tasks and monitor overall progress
Design and build impactful technical solutions and own them through the entire development lifecycle
Develop complex features and components
Review code and designs developed by other engineers
Debug difficult issues across the codebase
Research the latest technologies and propose ways to integrate them to improve the product
Come up with solutions for technical challenges and improvements
Evaluate technical options and tradeoffs and make sound technical decisions aligned with product needs in their specialized area
Perform rigorous code reviews and ensure coding best practices, standards and patterns are followed by teams
Debug and troubleshoot complex production issues and assist teams in resolution
Clearly communicate complex technical concepts and designs to both technical and non-technical audiences
Collaborate cross functionally across product, program management and other teams
Create documentation, present training materials, conduct tech talks to share knowledge with broader engineering org

Skills

Key technologies and capabilities for this role

DICOMSystem DesignSoftware ArchitectureScalabilityPerformance OptimizationReliability EngineeringCode ReviewDebuggingCloud Computing

Questions & Answers

Common questions about this position

What experience is required for the Lead Software Engineer DICOM role?

Candidates need 7+ years of software development with demonstrated engineering leadership, 4+ years in backend development, 2+ years in Node JS, Typescript and Amazon AWS, and 2+ years in DICOM Healthcare domain.

What is the salary for this position?

This information is not specified in the job description.

Is this a remote position or what is the location requirement?

This information is not specified in the job description.

What does the company culture at RapidAI emphasize?

RapidAI is committed to creating an inclusive and diverse environment, with emphasis on collaboration in a global team, clear communication across technical and non-technical audiences, and sharing knowledge through tech talks and documentation.

What makes a strong candidate for this Lead Software Engineer role?

Strong candidates have a Bachelor's degree or equivalent, extensive backend and DICOM experience, leadership skills, high proficiency in distributed systems design, Node JS, Typescript, AWS, and excellent communication and analytical skills for global collaboration.

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