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Information Technology 🏢 Full Time ⭐️ Verified

Future Tech Architect

Apex Systems
San Francisco
Estimated Salary
USD 140.000 – USD 180.000
Live Update
26 Mei 2026
Deadline
26 Mei 2027

Job Description

Apex Systems is pioneering the technology roadmap for the year 2026. We are looking for a visionary Future Tech Architect to lead our strategic initiatives in next-generation computing, AI integration, and scalable infrastructure. In this role, you will define the technical standards that will shape our products and services for the next decade. You will bridge the gap between high-level business strategy and technical execution, ensuring our platforms are ready for the demands of 2026 and beyond.

Join a team that values innovation, speed, and ethical technology development. We offer a competitive benefits package, remote-first flexibility, and the opportunity to work on projects that matter.

Responsibilities

  • Define and execute the 2026 Technology Roadmap, aligning technical capabilities with long-term business goals.
  • Architect scalable, high-performance cloud solutions using AWS, Azure, or Google Cloud.
  • Lead the integration of emerging technologies, including Generative AI, Predictive Analytics, and Edge Computing.
  • Mentor a team of senior engineers and developers, fostering a culture of continuous improvement and innovation.
  • Evaluate new technologies and vendors to ensure Apex Systems remains at the forefront of the industry.
  • Ensure data security, privacy, and compliance across all new infrastructure deployments.
  • Collaborate with product managers and stakeholders to translate business requirements into robust technical architectures.

Qualifications

  • 10+ years of experience in software architecture, systems engineering, or a related technical field.
  • Strong proficiency in Python, Java, or Go, with deep experience in microservices architecture.
  • Proven track record of leading large-scale technical projects and cross-functional teams.
  • Expert knowledge of cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
  • Experience with AI/ML frameworks and data pipelines is highly preferred.
  • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  • Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s degree is a plus).

Required Skills

AI Machine Learning Cloud Architecture Python AWS Azure Kubernetes Microservices Data Engineering Strategic Planning

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