At Doosan Bobcat, 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.
Requirements
- Extensive expertise in cloud platforms, microservices architecture, and emerging technologies such as AI and data-driven solutions.
- Proficiency in multiple programming languages (e.g., Java, Python, NodeJS) and frameworks; strong understanding of system architecture, design patterns, and best practices
- Experience with cloud platforms (e.g., AWS, Azure, GCP), microservices architecture, API design, and containerization (e.g., Docker, Kubernetes)
- Knowledge of database systems (SQL, NoSQL) and data pipelines
- Exceptional problem-solving, debugging, and performance tuning abilities
- Stay informed of industry trends, research, and emerging innovations, incorporating relevant advances into organizational strategies.
- Ensure code delivered aligns to internal standards.
Responsibilities
- Participate in the planning, architecture, and development of software solutions, including integrating AI, machine learning, and data-driven features where applicable.
- Writing high quality code to develop and maintain scalable, high-quality systems, emphasizing performance, security, and long-term sustainability.
- Drive deployment, monitoring, and continuous improvement of systems, including AI models and analytics components.
- Troubleshoot performance, scalability, and security issues across the software stack and data pipelines.
- Continuously optimize system architecture and deployment pipelines, including refining AI/ML models to improve accuracy, robustness, and fairness.
- Implement best practices in system monitoring and operational excellence to maintain reliability.
- Provide informed recommendations on the use of AI, secure coding, compliance, data handling, infrastructure, and new tools, while considering ethical standards and potential business impact.
Other
- Mentor and coach junior and mid-level team members, fostering a collaborative, innovative environment.
- Collaborate with cross-functional teams including product managers, solution architects, data scientists, and external vendors to realize strategic solutions that may incorporate AI capabilities. Drive dependency resolution and risk mitigation.
- Participate in Agile ceremonies and PI Planning.
- Lead knowledge sharing around emerging technologies, best practices, and responsible AI use.
- < 10% travel
