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Information Technology 🏢 Full Time ⭐️ Verified

2026 Systems Architect

Apex Horizon Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are not just building for today; we are architecting the infrastructure for the year 2026 and beyond. At Apex Horizon Solutions, we are on a mission to redefine the technological landscape. We are seeking a visionary 2026 Systems Architect to lead our strategic roadmap, ensuring our platforms are future-proof, scalable, and resilient against the evolving demands of a digital-first world.

If you are a technical leader who enjoys solving complex problems and has a passion for emerging technologies, we want to meet you.

Responsibilities

  • Lead the architectural strategy and technical roadmap for the 2026 product release cycle, aligning engineering goals with business objectives.
  • Design and implement high-performance, scalable system architectures that leverage cutting-edge AI and cloud technologies.
  • Mentor a team of senior engineers and architects, fostering a culture of innovation and technical excellence.
  • Evaluate and integrate emerging technologies to drive competitive advantage and operational efficiency.
  • Collaborate with product management and cross-functional teams to define technical requirements and deliverables.
  • Ensure system security, compliance, and reliability standards are met across all global deployments.
  • Oversee technical debt reduction and modernization initiatives for legacy systems.

Qualifications

  • 10+ years of experience in systems architecture, software engineering, or a related technical field.
  • Proven experience leading technical roadmaps for major product releases (ideally with a focus on 2026 strategic planning).
  • Deep expertise in cloud platforms (AWS, Azure, or GCP) and containerization technologies (Kubernetes, Docker).
  • Strong background in distributed systems, microservices, and high-availability infrastructure.
  • Experience integrating Artificial Intelligence and Machine Learning into production environments.
  • Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders.
  • Master's degree in Computer Science, Engineering, or a related field is a plus.

Required Skills

System Architecture Cloud Computing Kubernetes AWS AI Integration Microservices Technical Roadmap Python Go Leadership

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