Lead Software Engineer (Full Stack & AI)

About Brightpath Technologies At Brightpath Technologies , we believe your job should not only look right on paper but also feel right every day. This isn’t just another remote opportunity - it’s about finding where you truly belong, no matter where you are. From day one, you’re welcomed into a genuine community that values your growth and well-being. Our mission is simple: to break down geographic barriers and connect skilled professionals with outstanding global teams and products for full-time, long-term roles. We help you discover meaningful work with teams that invest in your success, where you’re empowered to grow personally and professionally. Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world. About the Role We are looking for an experienced Lead Software Engineer to provide technical leadership and drive the delivery of a cloud-based learning and compliance platform. This is a hands-on role that combines software engineering, architecture, AI innovation, and team leadership. You will lead a cross-functional engineering team, work closely with Product stakeholders to shape the roadmap, and play a key role in identifying and delivering AI-powered features that create meaningful user value. The role requires someone who can balance strategic thinking with hands-on development, while driving engineering excellence, delivery pace, and continuous improvement. The ideal candidate will have a strong background in full-stack software development, experience leading engineers, and a proven ability to design and deliver scalable, secure, and cloud-native solutions in complex environments. Responsibilities Lead a cross-functional engineering team, driving technical direction, delivery quality, and platform evolution. Take ownership of the design, development, deployment, and maintenance of full-stack applications and services. Work closely with Product teams to shape requirements, influence the roadmap, and align technical solutions with business objectives. Evaluate, prototype, and implement AI-powered capabilities, including LLM-based features, intelligent automation, and AI-enhanced workflows. Provide technical leadership through architecture reviews, code reviews, and engineering best practices. Design and build scalable, secure, resilient, and observable cloud-based solutions. Champion automated testing, quality assurance, and engineering standards across the development lifecycle. Build, maintain, and improve CI/CD pipelines to support reliable and efficient software delivery. Communicate technical designs, risks, and progress effectively to both technical and non-technical stakeholders. Mentor and support engineers, helping to develop technical capability across the team. Promote a culture of collaboration, continuous improvement, and engineering excellence. Support recruitment, onboarding, and development of engineering talent. Maintain clear technical documentation to support knowledge sharing and long-term maintainability. Requirements 5+ years of professional software engineering experience. Proven experience as a Senior or Lead Full Stack Software Engineer. Experience leading engineers and delivering software solutions end-to-end. Demonstrated ability to drive delivery, improve engineering practices, and move products forward. Experience working closely with Product teams, influencing requirements and roadmap decisions. Hands-on experience integrating AI/ML capabilities into production software, including LLM APIs, prompt engineering, RAG architectures, or AI-powered workflows. Strong understanding of modern software architecture, design patterns, and engineering best practices. Experience designing and building cloud-based applications and services. Strong knowledge of CI/CD pipelines, automated deployments, and DevOps practices. Experience building scalable, resilient, secure, and observable systems. Strong commitment to code quality, maintainability, testing, and operational excellence. Confident in technical decision-making, architecture discussions, and code reviews. Experience mentoring engineers and supporting professional development. Excellent communication skills with both technical and non-technical stakeholders. Understanding of security, resilience, operational risk, and software quality within regulated or mission-critical environments. Ability to translate complex business requirements into practical technical solutions. Strong ownership mindset with the ability to operate effectively in a fast-paced environment. Nice to Have Experience working within healthcare, compliance, learning, or other regulated industries. Experience implementing AI solutions in regulated or customer-facing environments. Knowledge of responsible AI practices and governance considerations. Experience supporting large-scale SaaS platforms. Exposure to advanced observability, platform engineering, or infrastructure practices. Experience improving engineering c