Leadership in Development: Lead the development, design, optimization, testing, and maintenance of our software solutions, setting a high standard for quality and innovation.
Solution Architecture: Design and build comprehensive solutions that span from Computer Vision technologies to user-facing applications, ensuring scalability and reliability.
Problem Solving: Utilize your technical expertise and creativity to solve challenging and ambiguous problems, achieving impactful results while navigating a dynamic work environment.
Mentorship: Provide guidance and mentorship to Software Engineers within the team, fostering professional growth and development.
Engineering Practices: Advocate for and implement high-quality design reviews, and robust engineering practices including automated testing, code coverage, and efficient CI/CD pipelines.
Minimum Qualification
Experience: 8+ years in the software development lifecycle, with comprehensive experience in coding standards, code reviews, source control management, build processes, testing, and operations.
Design Leadership: 5+ years leading the design or architecture of both new and existing systems, focusing on design patterns, reliability, and scaling.
Team Leadership: Proven experience delivering projects as a mentor, technical lead, or by leading an engineering team of 5+ engineers.
Technical Proficiency: Proficiency in at least one modern programming language and experience with public cloud services (GCP, Azure, AWS). Collaboration Skills: Demonstrated ability to work with and across teams and roles, including Product Management and Machine Learning Engineering.
Communication Skills: Strong written and verbal communication skills.
Proven ability to troubleshoot and debug complex technical systems.
Education: Bachelor’s degree in Computer Science or equivalent field.
Preferred Qualifications
Machine Learning Expertise: Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and familiarity with machine learning model architectures.
Hardware Accelerators: Knowledge of ML hardware accelerators, such as GPUs and TPUs, to optimize computing performance.
How We Hire
Applicatioin Process : Apply > Online Fit Interview > On - site Technical Interview > Compensation Discussion > Welcome aboard !
How to Apply : Email your resume to hr@sorcerics.com with the subject line : " [Position you're Applying For] - [Your Name] "
Let's work together !
Senior Software Engineer
Seoul, Korea | Full - Time
Role Respon-
sibilities
Leadership in Development: Lead the development, design, optimization, testing, and maintenance of our software solutions, setting a high standard for quality and innovation.
Solution Architecture: Design and build comprehensive solutions that span from Computer Vision technologies to user-facing applications, ensuring scalability and reliability.
Problem Solving: Utilize your technical expertise and creativity to solve challenging and ambiguous problems, achieving impactful results while navigating a dynamic work environment.
Mentorship: Provide guidance and mentorship to Software Engineers within the team, fostering professional growth and development.
Engineering Practices: Advocate for and implement high-quality design reviews, and robust engineering practices including automated testing, code coverage, and efficient CI/CD pipelines.
Minimum Qualifi-cation
Experience: 8+ years in the software development lifecycle, with comprehensive experience in coding standards, code reviews, source control management, build processes, testing, and operations.
Design Leadership: 5+ years leading the design or architecture of both new and existing systems, focusing on design patterns, reliability, and scaling.
Team Leadership: Proven experience delivering projects as a mentor, technical lead, or by leading an engineering team of 5+ engineers.
Technical Proficiency: Proficiency in at least one modern programming language and experience with public cloud services (GCP, Azure, AWS). Collaboration Skills: Demonstrated ability to work with and across teams and roles, including Product Management and Machine Learning Engineering.
Communication Skills: Strong written and verbal communication skills.
Proven ability to troubleshoot and debug complex technical systems.
Education: Bachelor’s degree in Computer Science or equivalent field.
Preferred Qualifi-
cations
Machine Learning Expertise: Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and familiarity with machine learning model architectures.
Hardware Accelerators: Knowledge of ML hardware accelerators, such as GPUs and TPUs, to optimize computing performance.
How We
Hire
Applicatioin Process : Apply > Online Fit Interview > On - site Technical Interview > Compensation Discussion > Welcome aboard
How to Apply : Email your resume to contact@sorcerics.com with the subject line : " [Position you're Applying For] - [Your Name] "
