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Information Technology 🏢 Full Time ⭐️ Verified

Senior 2026 Readiness Architect

Apex Horizon Systems
New York
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

We are pioneering the next generation of digital infrastructure, defining the roadmap for our systems well into the year 2026. As a Senior 2026 Readiness Architect, you will define the architectural blueprint that ensures our platforms are scalable, resilient, and future-proof. You will bridge the gap between current innovation and long-term strategic vision, leading a team of elite engineers to build the foundation for tomorrow.


Why Join Us?
We offer a competitive compensation package, comprehensive benefits, and the unique opportunity to shape the technical direction of a high-growth enterprise. If you are passionate about future-tech and want to leave a lasting impact on the industry, this is your stage.

Responsibilities

  • Lead the architectural vision for the 2026 technology roadmap, ensuring alignment with business goals and scalability requirements.
  • Design and implement complex, fault-tolerant distributed systems that can handle high-velocity traffic.
  • Oversee the migration to next-gen cloud infrastructure and evaluate emerging technologies (e.g., AI integration, Edge Computing).
  • Mentor and coach senior engineers, fostering a culture of technical excellence and continuous learning.
  • Conduct rigorous code reviews and architectural assessments to mitigate risks and ensure code quality.
  • Collaborate with cross-functional product teams to translate business requirements into robust technical solutions.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in a senior architectural role.
  • Deep expertise in cloud platforms (AWS, Azure, or GCP) and containerization technologies (Kubernetes, Docker).
  • Proven track record of leading large-scale system design and implementation projects.
  • Strong understanding of microservices architecture, API design, and database management (SQL/NoSQL).
  • Experience with AI/ML infrastructure and large language model integration is highly preferred.
  • Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Cloud Architecture Kubernetes Microservices System Design AWS Azure Python Go Leadership AI Infrastructure

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