Job Description
Shape the Future with Horizon 2026
Nebula Dynamics is pioneering the next generation of digital infrastructure. As a Horizon 2026 Systems Architect, you will be at the forefront of designing scalable, resilient, and intelligent systems that will define the technological landscape of the coming decade. This is a high-impact role for a visionary thinker who wants to leave a lasting legacy.
Why Join Us?
- Visionary Impact: Architect systems that will power global operations in 2026 and beyond.
- Top-Tier Compensation: Competitive salary and equity package.
- Modern Environment: Work with cutting-edge tools including AI-driven orchestration and quantum-ready cloud architectures.
Key Responsibilities
- Define and execute the long-term architectural vision for the Horizon 2026 roadmap, ensuring alignment with business goals.
- Design high-availability, fault-tolerant distributed systems capable of handling petabyte-scale data.
- Lead the migration strategy to next-generation cloud-native platforms, optimizing for speed and cost-efficiency.
- Integrate advanced AI and machine learning models directly into core infrastructure pipelines.
- Mentor a team of senior engineers, fostering a culture of technical excellence and innovation.
- Establish security-first architectures that comply with global regulatory standards.
Qualifications
- 10+ years of experience in Systems Architecture, Cloud Computing, or DevOps Engineering.
- Deep expertise in designing microservices and containerized applications (Docker, Kubernetes).
- Proficiency in major cloud providers (AWS, Azure, or GCP) with a focus on serverless and edge computing.
- Strong background in Python, Go, or Rust for backend systems.
- Experience implementing AI/ML inference pipelines at scale.
- Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
Responsibilities
- Define and execute the long-term architectural vision for the Horizon 2026 roadmap, ensuring alignment with business goals.
- Design high-availability, fault-tolerant distributed systems capable of handling petabyte-scale data.
- Lead the migration strategy to next-generation cloud-native platforms, optimizing for speed and cost-efficiency.
- Integrate advanced AI and machine learning models directly into core infrastructure pipelines.
- Mentor a team of senior engineers, fostering a culture of technical excellence and innovation.
- Establish security-first architectures that comply with global regulatory standards.
Qualifications
- 10+ years of experience in Systems Architecture, Cloud Computing, or DevOps Engineering.
- Deep expertise in designing microservices and containerized applications (Docker, Kubernetes).
- Proficiency in major cloud providers (AWS, Azure, or GCP) with a focus on serverless and edge computing.
- Strong background in Python, Go, or Rust for backend systems.
- Experience implementing AI/ML inference pipelines at scale.
- Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.