Job Description
We are seeking a visionary Senior 2026 Systems Architect to design the digital backbone of tomorrow. As we prepare for the technological paradigm shift of 2026, we need an expert who can bridge the gap between current AI capabilities and future quantum-ready infrastructures.
In this role, you will lead high-impact engineering initiatives, architecting scalable, resilient systems capable of handling the exponential growth of next-gen data. You will work in a cutting-edge environment where your code will define the operational standards for the next decade.
- Work at the forefront of Emerging Tech and Future Computing.
- Competitive compensation package including equity and performance bonuses.
- Flexible remote-first policy with a hub in the heart of Seattle.
Our Commitment: We are dedicated to building an inclusive environment where diverse thoughts drive innovation. Join us in building the systems of 2026.
Responsibilities
- Architect Next-Gen Infra: Design and implement distributed systems architectures optimized for post-silicon computing and AI integration.
- Lead Technical Strategy: Define the technical roadmap for 2026, ensuring scalability and resilience against future disruptions.
- Mentorship: Guide senior engineering teams in adopting modern practices, including Microservices and Serverless architectures.
- Performance Optimization: Lead initiatives to reduce latency and optimize resource utilization in high-throughput AI pipelines.
- Collaboration: Partner with Product Managers and Data Scientists to translate business goals into robust technical solutions.
Qualifications
- Experience: 8+ years of professional software engineering, with at least 3 years in a Senior or Lead Architect role.
- Stack: Deep proficiency in Python, Go, Rust, or TypeScript.
- Cloud Mastery: Extensive experience with Kubernetes, AWS, or Azure in a hybrid or multi-cloud environment.
- AI Integration: Strong understanding of MLOps, AI model deployment, and edge computing technologies.
- Education: Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.