Job Description
Are you ready to build the infrastructure of tomorrow? Tomorrow Labs Inc. is seeking a visionary Future-Ready Tech Architect to lead our charge into the next decade. We are not just building for today; we are engineering the scalable, intelligent, and sustainable systems that will define the technological landscape of 2026 and beyond.
In this pivotal role, you will bridge the gap between cutting-edge AI research and enterprise-grade infrastructure. You will be responsible for designing resilient architectures that can withstand the rapid pace of digital transformation, ensuring our platforms are secure, efficient, and ready for the future.
Why join us?
- Work at the intersection of Generative AI and Cloud Infrastructure.
- Shape the roadmap for the company's technical evolution.
- Competitive compensation package and equity.
- Flexible remote-first culture.
Responsibilities
- Architect Scalable Systems: Design and implement robust, scalable cloud-native architectures (AWS/Azure) that support high-traffic, mission-critical applications.
- AI Integration Strategy: Lead the integration of Generative AI and Machine Learning models into core business workflows, optimizing performance and reducing latency.
- Future-Proofing: Identify emerging technologies (Web3, Quantum Computing readiness, Edge Computing) and assess their viability for adoption in 2026.
- Cybersecurity Leadership: Oversee security protocols and compliance standards (SOC2, GDPR) to ensure data integrity in a decentralized future.
- Legacy Modernization: Guide the transition of legacy systems to modern microservices architectures, minimizing downtime and maximizing efficiency.
- Technical Mentorship: Foster a culture of innovation and continuous learning, mentoring junior architects and engineering teams.
Qualifications
- Experience: 10+ years of experience in software architecture, with at least 5 years in a leadership or architect role.
- Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Technical Skills: Deep expertise in Kubernetes, Docker, Terraform, and serverless computing. Proficiency in Python, Go, or Java.
- AI/ML Knowledge: Strong understanding of Large Language Models (LLMs), prompt engineering, and MLOps pipelines.
- Soft Skills: Exceptional problem-solving abilities and the ability to communicate complex technical concepts to non-technical stakeholders.
- Strategic Vision: A proven track record of driving technical strategy and innovation.