Chief Technology Leader for Scalable Cloud & AI

Keka Technologies Private Limited

United States

On-site

USD 180,000 - 260,000

Full time

14 days+
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Job summary

The Chief Technology Officer (CTO) will lead technology strategy, architecture, cybersecurity, and the international hosting landscape for Keka Technologies Private Limited. This full-time role demands hands-on oversight to align technology with business goals, drive modernization, and manage risk while mentoring senior engineers.

Key focus areas include scalable cloud infrastructure, AI strategy, governance, and collaboration with executive leadership to enable fast, secure product delivery

Qualifications

  • 15+ years of software engineering and technology leadership experience.
  • Previous CTO or senior technology leader experience in small to mid-sized software product companies.
  • Strong background in cloud infrastructure, architecture, and cybersecurity.
  • Experience with AI and emerging technologies is preferred.
  • Experience with B2B enterprise software is highly desirable.

Responsibilities

  • Provide technology strategy and roadmap aligned with business goals and product plans.
  • Oversee architecture, APIs, databases, and hosting infrastructure for scalability and reliability.
  • Lead cloud, hosting, security, and disaster recovery planning and cost optimization.
  • Establish cybersecurity roadmap and risk management across systems and data.
  • Drive AI initiatives and evaluate tools for software development and analytics.
  • Mentor senior technical leaders and drive delivery of strategic technology initiatives.

Skills

Technology leadership
Cloud infrastructure
Cybersecurity
AI strategy
Software architecture
DevOps
Strategic planning

Job description

The Chief Technology Officer (CTO) will lead technology strategy, architecture, cybersecurity, and the international hosting landscape for Keka Technologies Private Limited. This full-time role demands hands-on oversight to align technology with business goals, drive modernization, and manage risk while mentoring senior engineers.

Key focus areas include scalable cloud infrastructure, AI strategy, governance, and collaboration with executive leadership to enable fast, secure product delivery

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