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c-level

CTO (Chief Technology Officer)

CodeIT
format:Remotecompany:Outsource
ai agentsci/cd
experience10+ years
domainConsulting
> full description

CodeIT is looking for a CTO / Head of Technology Strategy who will strengthen our technical strategy, service capabilities, engineering standards and technical leadership.
What you will do

  • Own and evolve the company’s technology strategy and propose new technical service directions
  • Design the technical model behind each service: technologies, competencies, tools, quality expectations
  • Drive pragmatic AI adoption, including guidelines and governance for AI usage in engineering (может это в первый буллет поставить?)
  • Define engineering standards: code quality, review practices, testing, CI/CD, architecture principles
  • Run technical audits, architecture reviews and engineering maturity assessments
  • Act as the escalation point for complex technical challenges and architectural risks
  • Support presales: technical discovery, solution design, architecture proposals, estimation validation (вот может это убрать пока? — может сбить с толку)
  • Build competency frameworks and grow technical leaders, architects and practice owners


This is not a purely managerial role. It is not a delivery, people management or sales role. We need a strong technical practitioner who can challenge architecture decisions and guide teams.
Must have

  • 10+ years in software engineering, architecture or technology leadership
  • 3+ years in a senior technical leadership role (CTO, Head of Technology, Director of Engineering, VP Engineering, Chief Architect, Practice Lead or similar)
  • Experience in a service company: outsourcing, outstaffing, software development agency, digital engineering or technology consulting
  • Strong engineering or architecture background
  • Experience in technical presales, discovery, solution design or estimation
  • Experience with AI-assisted software delivery or engineering automation
  • Ability to work across multiple technology stacks


Nice to have

  • AI usage guidelines or engineering governance for AI tools
  • Technical audit frameworks, modernization roadmaps, implementation playbooks
  • Experience scaling a technical practice or competence center
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