Job Description
Architect the Future. Build the 2026 Roadmap.
At OmniFuture, we don't just predict the future; we engineer it. We are seeking a visionary Senior Technical Architect to spearhead our 2026 Strategic Roadmap. In this pivotal role, you will define the architectural blueprints for the next generation of AI-driven infrastructure and quantum-ready systems. You will lead a team of elite engineers in building the foundation for a world-class digital ecosystem.
Why Join Us?
We are a Silicon Valley leader in next-gen computing. We offer a competitive compensation package, equity options, and a remote-first culture that empowers innovation.
Responsibilities
- Lead the 2026 Enterprise Architecture Vision: Define the long-term technical strategy and architectural principles for the company's 2026 release cycle.
- Design Scalable Systems: Oversee the architecture of high-throughput, low-latency systems designed to support global AI workloads.
- Cloud & Infrastructure Strategy: Drive the migration and optimization of our infrastructure towards serverless and quantum-computing-ready environments.
- Technical Leadership: Mentor senior engineers and architects, ensuring code quality, security standards, and best practices across all teams.
- Innovation & R&D: Prototype and evaluate emerging technologies (e.g., Generative AI, Edge Computing) to integrate into the 2026 product suite.
- Stakeholder Management: Collaborate with product and executive leadership to translate business goals into technical roadmaps.
Qualifications
- Education: Bachelor’s degree in Computer Science, Software Engineering, or a related technical field; Master’s degree preferred.
- Experience: 10+ years of experience in software architecture and systems design.
- Programming: Expert proficiency in Python, Go, or Rust with deep understanding of concurrency and distributed systems.
- Cloud Mastery: Extensive experience designing on AWS, Azure, or GCP with a focus on serverless and Kubernetes orchestration.
- AI Integration: Strong background in integrating Large Language Models (LLMs) and machine learning pipelines into production environments.
- Soft Skills: Exceptional communication skills with the ability to explain complex technical concepts to non-technical stakeholders.