Job ResponsibilitiesLead and manage a diverse engineering team, overseeing their daily activities, project assignments, and professional growth.
Promote technical excellence by actively engaging in coding, design, and architecture discussions while setting high standards for code quality and best practices.
Work closely with product managers and stakeholders to define project scope, timelines, and deliverables, ensuring alignment with business goals.
Implement Agile methodologies within the team, including sprint planning, daily stand-ups, retrospectives, and initiatives for continuous improvement.
Contribute to the design and implementation of high-performance, scalable IP and voice data stream processing solutions.
Identify and resolve technical debt, performance issues, and potential risks within team projects.
Foster a positive team culture that encourages innovation, knowledge sharing, and ongoing learning.
Manage team performance by conducting regular one-on-ones and providing constructive feedback to team members.
Collaborate with other team leads and senior leadership to ensure that team goals align with broader organizational objectives.
Participate in the hiring process to build and maintain a strong and diverse engineering team.
The Successful ApplicantBachelor's degree in Computer Science, Software Engineering, or a related field; a master's degree is preferred.
Over 8 years of experience in software development, including a minimum of three years in a leadership or mentoring capacity.
Expertise inC/C++ and Java , along with experience in contemporary language standards and frameworks.
Thorough understanding of network protocols, IP traffic management, and telecommunications engineering principles.
Experience in multi-threaded programming, performance optimization, and distributed systems.
Knowledge of Agile methodologies, specifically Kanban and Scrum.
Proven success in leading software projects and driving technical initiatives.
Strong problem-solving abilities and the capacity to assist team members in navigating complex technical issues.
Excellent communication skills, with the ability to convey technical concepts to both technical and non-technical audiences.
Familiarity with cloud technologies and microservices architecture.
Knowledge of AI and machine learning concepts and their implementation in data processing and analytics.
Experience with DevOps practices and tools such as CI/CD and containerization.
Background in real-time data processing systems and big data technologies.
What's on OfferChance to guide and develop a varied engineering team, nurturing the future talent in the industry.
Participate in direct technical contributions, fostering innovation and upholding top-notch code quality.
ContactElaine Ho
Quote job ref JN-102024-6559218
Phone number: +60 3 2302 4058#J-18808-Ljbffr