Software Engineering Lead (AI-Enabled SDLC, Java/AWS)
We are looking for a hands-on Lead Software Engineer to drive the transformation of the software development lifecycle (SDLC) toward AI-assisted engineering practices. This role requires a strong software engineering background across both legacy and modern technology stacks, combined with practical experience applying AI tools in production environments.
In this transformation-focused role, you will move beyond system maintenance to reshape how software is designed and delivered. You will work closely with engineering teams to bridge legacy and modern cloud environments, introduce AI-driven workflows, support migration initiatives to AWS and guide teams in adopting scalable, AI-enabled ways of working that improve delivery speed and quality.
Responsibilities
- Lead the adoption and implementation of AI-assisted SDLC practices, driving the practical use of AI tools to improve engineering productivity
- Work hands-on across legacy and modern technology stacks, supporting application modernization and migration initiatives to AWS
- Guide teams in applying specification-driven development approaches and recommend scalable solutions for complex environments
- Mentor and lead engineering teams, collaborating closely with stakeholders to drive technical excellence and modern best practices
Requirements
- Strong hands-on experience in Java and Spring Boot, with proven exposure to both legacy systems and modern web technology stacks
- Demonstrated experience implementing AI-assisted SDLC practices in production environments, utilizing tools such as GitHub Copilot, Claude or similar AI development platforms
- Hands-on experience with AWS cloud technologies, including application modernization and migration initiatives
- Proven ability to lead and mentor engineering teams, driving engineering best practices, technical decision-making and stakeholder collaboration
