Job Description
At Chronos Future Technologies, we are not just preparing for the future; we are architecting it. We are currently seeking a visionary Senior 2026 Systems Architect to spearhead our most ambitious roadmap yet. In this pivotal role, you will define the technical foundation for the next era of digital innovation, ensuring our platforms are scalable, secure, and future-proof. If you are a technical leader passionate about building the infrastructure of tomorrow, this is your opportunity to shape the landscape of 2026 and beyond.
Why Join Us?
- Work on cutting-edge projects that define industry standards.
- Competitive compensation package with equity options.
- Flexible remote-first culture with a hub in Austin.
- Continuous learning and development budget.
Responsibilities
- Architect and design the core technical infrastructure for the 2026 product ecosystem, ensuring high availability and scalability.
- Lead the strategic migration to next-generation cloud environments, optimizing for cost-efficiency and performance.
- Collaborate closely with product managers and engineering teams to translate business requirements into robust technical solutions.
- Establish and enforce architectural standards, coding best practices, and security protocols across all projects.
- Mentor junior engineers and mid-level architects, fostering a culture of technical excellence and innovation.
- Conduct regular code reviews and system architecture audits to mitigate risks and ensure code quality.
- Stay ahead of industry trends, evaluating emerging technologies (AI, Edge Computing) for potential integration.
Qualifications
- 10+ years of experience in Systems Architecture, Cloud Engineering, or Software Development.
- Deep expertise in cloud platforms (AWS, Azure, or GCP) with a strong focus on Kubernetes and containerization.
- Proven track record of leading large-scale technical transformations and project lifecycles.
- Strong proficiency in programming languages such as Python, Go, or Java.
- Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders.
- Experience with AI/ML infrastructure and data pipeline architecture is a major plus.
- Bachelor’s degree in Computer Science, Engineering, or a related technical field.