Java Development Assistant Manager (Ai-Driven Development)

We are seeking a highly motivated Team Lead to manage a small development team responsible for building, maintaining, and integrating in-house applications. The role combines traditional technical leadership with the practical adoption of AI technologies to improve software delivery, code quality, and development productivity. The successful candidate will lead development initiatives, mentor engineers, and drive AI-enabled engineering practices across the department.
1. Team Leadership & Delivery
• Lead and mentor a small team of software engineers in the development, maintenance, and support of in-house applications.
• Plan, assign, and monitor team activities to ensure timely and high-quality delivery.
• Foster a collaborative, high-performance, and continuous learning culture within the team.
• Provide technical guidance, coaching, and performance feedback to team members.
2. Project & Technical Leadership
• Manage small to medium-sized software projects or serve as Technical Lead on assigned projects.
• Collaborate with business stakeholders, architects, infrastructure teams, and vendors to deliver effective solutions.
• Drive application integration initiatives with internal and external systems.
• Ensure adherence to SDLC processes, architecture principles, security requirements, and software development best practices
3. AI-Driven Software Engineering
• Lead the adoption and application of AI tools, frameworks, and best practices within software development activities.
• Utilize AI technologies to improve coding efficiency, code review quality, testing effectiveness, documentation generation, and overall engineering productivity.
• Establish and govern AI-assisted development standards, ensuring compliance with coding standards, security guidelines, and SDLC requirements.
• Conduct training, knowledge-sharing sessions, and coaching programs to promote effective use of AI development tools across the department.
• Evaluate emerging AI frameworks and tools and recommend practical adoption strategies.
4. Quality & Governance
• Conduct design reviews, code reviews, and technical assessments.
• Ensure software quality, maintainability, scalability, and operational stability.
• Support incident analysis, troubleshooting, root cause investigation, and continuous improvement initiatives.