Job Description
We are looking for a visionary Senior 2026 Readiness Architect to join Nexus Future Systems. In this pivotal role, you will bridge the gap between today's technology and the breakthroughs of 2026 and beyond. You will be responsible for defining the long-term technical roadmap, ensuring our infrastructure is scalable for the next generation of AI and quantum computing.
As a leader in our organization, you will work closely with C-suite executives to identify emerging trends and translate them into actionable technical strategies. If you are passionate about shaping the future of enterprise technology and want to build the systems that will power the world in 2026, we want to hear from you.
Responsibilities
- Define and execute the long-term technical vision for the 2026 roadmap, focusing on AI integration, quantum readiness, and edge computing.
- Lead the architecture of scalable cloud-native systems designed to handle exponential data growth.
- Conduct deep-dive research into emerging technologies (e.g., Neuromorphic computing, advanced LLMs) and assess their applicability to our core products.
- Collaborate with product and engineering teams to ensure seamless integration of future-forward technologies.
- Mentor senior engineers and architects, fostering a culture of innovation and continuous learning.
- Identify potential risks in the technology stack and propose mitigation strategies for long-term stability.
Qualifications
- 10+ years of experience in software architecture, with at least 5 years in a leadership role.
- Proven track record of designing systems for scale and high availability.
- Expert knowledge of cloud platforms (AWS, Azure, or GCP) and containerization technologies (Kubernetes, Docker).
- Familiarity with AI/ML infrastructure and quantum computing fundamentals.
- Strong understanding of cybersecurity best practices and compliance standards.
- Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Master’s degree in Computer Science, Engineering, or a related field is preferred.