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Information Technology 🏢 Full Time ⭐️ Verified

Senior Future-Tech Architect 2026

OmniStream Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Are you ready to define the roadmap for 2026? OmniStream Solutions is seeking a visionary **Strategic Future-Tech Architect** to lead our next-generation development initiatives. As we prepare to enter a new era of technological advancement, we need a leader who can bridge the gap between current capabilities and future demands. You will be at the forefront of designing scalable, resilient, and cutting-edge systems that will define our success in the coming years. Join a team that values innovation, forward-thinking, and technical excellence.

Responsibilities

  • Lead the architectural design and strategy for systems targeting the 2026 release cycle and beyond.
  • Collaborate with product managers and engineering leads to define technical roadmaps and feature sets.
  • Oversee the migration of legacy infrastructure to next-gen cloud-native environments.
  • Mentor senior engineers and junior developers, fostering a culture of continuous learning and technical rigor.
  • Conduct code reviews and ensure adherence to architectural standards and security protocols.
  • Identify emerging technologies (AI, Edge Computing) to leverage for competitive advantage.

Qualifications

  • 10+ years of experience in software engineering, system architecture, or a related technical field.
  • Deep expertise in Cloud platforms (AWS, Azure, or GCP) and containerization (Docker/Kubernetes).
  • Strong proficiency in programming languages such as Python, Go, or Java.
  • Experience with Agile/Scrum methodologies and CI/CD pipelines.
  • Proven track record of leading large-scale technical projects and cross-functional teams.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

System Architecture Cloud Computing Python Go Kubernetes Agile Machine Learning DevOps

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