The Software Manager is responsible for leading the development, delivery, and operational management of AI-driven and enterprise software applications. This role oversees both the technical direction and team execution across AI platforms, backend systems, frontend applications, DevOps, infrastructure, and integrations.

The Software Manager will lead a software engineering team, drive modern AI-assisted development practices (e.g., Claude Code / AI-assisted coding workflows), and ensure software solutions are scalable, maintainable, secure, and aligned with business and customer needs. This role focuses not only on technical implementation, but also on strengthening team leadership, improving software delivery processes, and building a customer-focused engineering culture. The ideal candidate combines hands-on technical capability with leadership, DevOps understanding, AI platform exposure, and strong execution skills.

Duties and responsibilities

Lead and manage the software engineering team, including task planning, technical guidance, mentoring, and performance monitoring of junior developers and engineers.
Drive AI-assisted software development practices using modern AI coding tools (e.g., Claude Code, vibe coding approaches) to improve development speed, quality, and efficiency while reducing dependency on traditional coding methods.
Oversee the development, integration, deployment, and maintenance of AI-driven applications, enterprise platforms, APIs, automation workflows, and related software systems.
Collaborate closely with Product Owners, business users, internal departments, and external customers to understand business requirements and translate them into scalable and practical software solutions.
Ensure software delivery aligns with product goals, user experience, operational requirements, and customer expectations.
Define and maintain software development standards, architecture guidelines, coding practices, documentation standards, and security best practices.
Lead backend architecture and development activities using Python-based technologies such as Fast API and Flask, while ensuring maintainable and scalable system design.
Manage DevOps and CI/CD processes including GitLab, Jenkins, Docker, deployment automation, monitoring, release management, and environment standardization.
Drive the implementation and continuous improvement of automated build, testing, deployment, and rollback processes to improve operational stability and delivery efficiency.
Manage containerized application environments and deployment strategies across development, staging, and production platforms.
Participate in technical architecture discussions, solution reviews, code reviews, and technology evaluations to ensure alignment with business and technical objectives.
Research and evaluate emerging technologies, AI tools, frameworks, and platforms that can improve software delivery capabilities and business innovation.
Identify technical risks, system bottlenecks, and operational gaps, and proactively implement mitigation and improvement strategies.
Ensure proper collaboration between software, infrastructure, DevOps, AI, and product teams to support successful project execution and operational readiness.
Support troubleshooting, root cause analysis, incident resolution, and continuous system improvement initiatives.
Contribute to software roadmap planning, technical strategy, resource planning, and long-term platform scalability initiatives.
Promote a customer-focused engineering culture where software delivery prioritizes usability, business value, operational effectiveness, and user satisfaction.

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