Job Description
At Horizon Core Technologies, we are not just building for today; we are architecting the solutions of tomorrow. We are seeking a visionary 2026 Future Tech Lead to spearhead our next generation of AI-driven infrastructure and emerging technology initiatives. If you have a passion for pushing the boundaries of what is possible and leading high-performance teams in a dynamic environment, we want to meet you.
In this pivotal role, you will define the technical roadmap for our upcoming innovations, ensuring our products remain at the forefront of the industry. You will bridge the gap between abstract concepts and scalable engineering solutions, driving the adoption of cutting-edge technologies.
Why Join Us?
- Competitive salary and equity package.
- Flexible work environment with a focus on work-life balance.
- Access to the latest tools and technologies in the market.
Responsibilities
- Define and execute the long-term technical strategy for Horizon Core Technologies, focusing on futuristic tech stacks and scalable architecture.
- Lead and mentor a team of senior engineers and developers, fostering a culture of innovation, continuous learning, and technical excellence.
- Collaborate with product managers and stakeholders to translate complex business requirements into robust technical solutions.
- Drive the research and development of novel technologies, including AI integration, quantum computing applications, or advanced cloud native systems.
- Oversee the full software development lifecycle, ensuring code quality, performance optimization, and security best practices.
- Represent the engineering department in high-level discussions with investors and industry partners.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years in a senior leadership or technical lead role.
- Deep expertise in distributed systems, cloud architecture (AWS/Azure/GCP), and modern programming languages (Python, Go, Rust).
- Proven track record of successfully leading cross-functional teams through the entire product development lifecycle.
- Strong understanding of machine learning principles and their application in enterprise software.
- Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
- Master’s degree in Computer Science, Engineering, or a related field is preferred.