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Information Technology 🏢 Full Time ⭐️ Verified

Senior Architect: Project 2026

Nexus Future Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Senior Architect to lead the technical execution of Project 2026, our revolutionary initiative in predictive AI and autonomous infrastructure. As a key member of our elite R&D division, you will define the architectural blueprint for systems that will define the digital landscape of the coming decade. You will work in a high-performance environment focused on scalability, security, and cutting-edge innovation.

Responsibilities

  • Architect and design scalable, high-performance systems for Project 2026 using microservices and serverless technologies.
  • Lead a cross-functional team of engineers, data scientists, and product managers to drive technical excellence.
  • Define and enforce coding standards, architectural patterns, and best practices across the organization.
  • Conduct rigorous code reviews and technical planning sessions to ensure robustness and security.
  • Identify technical risks and implement mitigation strategies for complex, large-scale deployments.
  • Collaborate with stakeholders to translate business requirements into technical specifications.
  • Stay ahead of industry trends and integrate emerging technologies into the Project 2026 roadmap.

Qualifications

  • 10+ years of experience in software architecture, with at least 5 years in a senior or lead engineering role.
  • Deep expertise in distributed systems, cloud architecture (AWS, GCP, or Azure), and containerization (Docker, Kubernetes).
  • Strong proficiency in modern programming languages such as Python, Go, or Java.
  • Experience with machine learning pipelines and large-scale data processing frameworks (e.g., Spark, Kafka).
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.
  • Proven track record of mentoring junior engineers and fostering a culture of continuous learning.
  • Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s degree preferred).

Required Skills

Python Go Docker Kubernetes AWS Microservices Machine Learning System Design Agile

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