Minimum pyy:$140,000; maximum pyy:$210,000; benefi...
On-site
Ai and machine learning integration
Scalable software system design
Cloud platform expertise
Doosan Corporation is seeking a Senior Software Engineer specializing in AI solutions to design, develop, and deploy scalable software systems. The ideal candidate will have extensive experience in software development, technical leadership, and collaboration across cross-functional teams, particularly with emerging technologies like AI and machine learning
Job Summary
The Technical Software Engineer Sr is a strategic technical leader responsible for designing, developing, and deploying scalable, reliable software systems that support organizational objectives.
This role involves architecting complex applications, implementing innovative solutions, and integrating emerging technologies—including AI, machine learning, and data-driven features—into core products and platforms.
They stay current with industry best practices, emerging trends, and responsible technology use to ensure the organization leverages advanced tools and techniques, including AI, effectively and ethically.
Matching Summary
Match Score: 85
Doosan Corporation is seeking a Senior Software Engineer specializing in AI solutions to design, develop, and deploy scalable software systems. The ideal candidate will have extensive experience in software development, technical leadership, and collaboration across cross-functional teams, particularly with emerging technologies like AI and machine learning.
Salary
Minimum Pay:$140,000; Maximum Pay:$210,000; Benefits: Not specified
Skills & Requirements
Must-have
AI and machine learning integration
Scalable software system design
Cloud platform expertise
Microservices architecture
Agile/Scrum methodologies
Technical leadership and mentorship
Nice-to-have
Responsible AI use
Emerging technology adoption
Cross-functional collaboration
Continuous improvement mindset
Key Requirements
10+ years of professional software development experience
Bachelor's or Master's degree in Computer Science or related field
Proficiency in multiple programming languages (Java, Python, NodeJS)
Experience with cloud platforms (AWS, Azure, GCP)
Experience with containerization (Docker, Kubernetes)