What are the responsibilities and job description for the Lead Software Engineer Cloud, AI/ML & Full Stack (Node.js, React, AWS CDK and Kotlin) position at VDart, Inc.?
We are seeking an experienced Lead Software Engineer to provide technical leadership and drive the architecture, design, and delivery of scalable, cloud-native, and AI-enabled software platforms. This role is intended for a highly accomplished individual contributor who will lead complex technical initiatives, establish long-term technology direction, and influence engineering decisions across multiple teams.
The ideal candidate will possess deep expertise in Node.js, React, Kotlin, AWS, AI/ML, and AWS CDK, along with strong experience designing distributed systems and leading large-scale software development initiatives. This individual will serve as a technical leader and may act as the Lead Engineer for strategic engineering programs without direct people-management responsibility.
<>Key Responsibilities- Lead the architecture, design, and development of scalable, secure, and highly available cloud-native applications and platforms.
- Design and evolve complex distributed systems using modern software engineering principles and AWS cloud technologies.
- Own and influence architecture decisions, technical standards, and long-term technology roadmaps.
- Lead the development of AI/ML-enabled platforms, services, and application capabilities.
- Provide technical leadership across multiple engineering teams and drive alignment on architecture, design, integration, and engineering execution.
- Break down complex and ambiguous business or technical challenges into scalable, actionable, and well-defined engineering solutions.
- Develop and maintain high-quality backend services using Node.js and Kotlin.
- Design and build modern, responsive user interfaces using React.
- Develop and manage cloud infrastructure using AWS CDK and infrastructure-as-code practices.
- Establish and promote engineering best practices related to system design, code quality, security, reliability, scalability, observability, and performance.
- Lead technical design reviews and provide expert guidance on complex architectural and engineering decisions.
- Mentor and influence multiple engineers by providing technical direction, design guidance, and development support.
- Drive technical strategy and contribute to long-term platform modernization, cloud adoption, and engineering transformation initiatives.
- Identify and resolve complex system-level issues involving architecture, performance, scalability, reliability, and cross-platform integration.
- Partner with Product Managers, Technical Program Managers, architects, and engineering leadership to align technical solutions with business priorities.
- Drive continuous improvements in engineering processes, development standards, automation, and software delivery practices.
- 8 12 years of professional software engineering experience, including experience leading complex technical initiatives.
- Strong expertise in designing and building large-scale distributed systems, cloud-native applications, and highly scalable software platforms.
- Extensive hands-on experience with AWS architecture, cloud services, and cloud-native development.
- Strong proficiency in Node.js, React, and Kotlin.
- Experience designing, developing, or integrating AI/ML platforms, services, or AI-enabled application capabilities.
- Hands-on experience with AWS CDK and infrastructure-as-code practices.
- Demonstrated experience owning architecture decisions and influencing technical direction across multiple engineering teams.
- Strong system design expertise, including scalability, availability, resilience, performance, security, and distributed systems principles.
- Proven ability to lead complex technical initiatives and drive execution in ambiguous or evolving environments.
- Experience leading technical design reviews, establishing engineering standards, and driving best practices.
- Demonstrated ability to mentor and provide technical leadership to multiple engineers.
- Strong problem-solving, communication, collaboration, and technical decision-making skills.
- Ability to influence cross-functional stakeholders and engineering teams without direct people-management authority.