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Information Technology 🏢 Full Time ⭐️ Verified

Senior Future-Ready Architect (2026)

Nova Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are looking for a visionary Senior Future-Ready Architect to lead our infrastructure and technology strategy for the 2026 era. In this pivotal role, you will design scalable, resilient, and cutting-edge systems that prepare our enterprise for the next wave of technological disruption.

You will bridge the gap between business objectives and technical execution, leveraging AI, cloud-native architectures, and next-gen infrastructure to drive innovation. If you are passionate about building the future and want to shape the digital landscape of 2026, we want to hear from you.

Responsibilities

  • Architect and design scalable microservices and distributed systems capable of handling enterprise-level traffic.
  • Lead the integration of Generative AI and Machine Learning models into core business workflows.
  • Define technical roadmaps and standards that ensure long-term viability and scalability.
  • Collaborate with cross-functional teams to translate complex business requirements into robust technical solutions.
  • Mentor junior architects and engineers, fostering a culture of continuous learning and innovation.
  • Conduct rigorous code reviews and architectural assessments to ensure security and performance.
  • Drive the adoption of DevOps practices to accelerate deployment cycles and improve reliability.

Qualifications

  • 10+ years of experience in software architecture, with at least 5 years in a senior leadership role.
  • Deep expertise in cloud platforms (AWS, Azure, or GCP) and containerization technologies (Kubernetes, Docker).
  • Strong proficiency in modern programming languages (Go, Rust, or Python) and frameworks.
  • Proven track record of designing systems for high availability, fault tolerance, and scalability.
  • Experience implementing AI/ML pipelines and integrating LLMs into production environments.
  • 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 a plus.

Required Skills

Kubernetes AWS Microservices Python Go AI Integration Cloud Architecture DevOps Scalability Machine Learning

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