
Software Technical Lead
Posted Jun 4

Posted Jun 4
This is a fully remote position, open to applicants in Latin America.
• Lead the technical design and architecture of full-stack Java applications utilizing Spring Boot and contemporary front-end frameworks.
• Drive the incorporation of AI/ML capabilities into enterprise systems, featuring LLM-powered functions, intelligent automation, and AI-assisted workflows.
• Engage in hands-on development while guiding the team on best practices, code quality, and modern engineering standards.
• Mentor and coach engineers at various levels, promoting growth and technical excellence.
• Collaborate closely with product, data, and AI teams to establish technical strategies and deliver comprehensive solutions.
• Oversee system performance, scalability, observability, and security throughout the stack.
• Advocate for the use of AI-assisted engineering tools to enhance velocity, reliability, and the developer experience.
• Facilitate technical discussions with clients, translating intricate concepts into straightforward recommendations.
• Contribute to CI/CD pipelines, cloud architecture, and DevOps practices to ensure seamless and reliable deployments.
• Over 10 years of professional software engineering experience, with significant full-stack Java development expertise.
• Profound knowledge of Java, Spring Boot, microservices, and distributed system design.
• Strong experience with modern front-end frameworks such as React, Angular, or Vue.
• Proven track record of integrating AI/ML services or developing AI-enhanced product features.
• Solid understanding of cloud platforms (AWS, Azure, or GCP), containerization, and orchestration (Docker, Kubernetes).
• Demonstrated capability to lead engineering teams, mentor developers, and make informed technical decisions.
• Experience with observability, performance tuning, and secure architecture patterns.
• Exceptional communication skills with the ability to engage effectively with clients and stakeholders.
• A mindset centered around innovation, continuous improvement, and leveraging AI to enhance engineering outcomes.
• SPONSORSHIP NOT AVAILABLE
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