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Lead the Technical Transformation Towards an AI-Driven SaaS Future We are undertaking a major transformation to build the next generation of our technology platform. As Head of Engineering, you’ll take ownership of our overall technical strategy, system architecture, and development ecosystem. You’ll lead a skilled engineering team while collaborating closely with product, data science, and operations. This is a highly influential role for a senior engineering leader who thrives on building, scaling, and innovating. You will guide the evolution of a global SaaS platform and help define how AI-generated code and modern engineering practices are applied to deliver excellence in both speed and quality. You’ll be equally comfortable designing scalable cloud-native systems as you are reviewing pull requests or refining CI/CD pipelines. You’ll set the tone for technical excellence, product stability, and engineering culture across the company.
Job Responsibility:
Provide strategic and operational leadership to the Engineering organization, ensuring the successful delivery of an AI-first, cloud-native SaaS platform
Design and evolve a highly scalable multi-tenant SaaS architecture capable of supporting millions of transactions efficiently
Oversee the development and maintenance of a cloud-native infrastructure, leveraging containerization (Docker, Kubernetes) and CI/CD automation
Collaborate with data science and ML teams to integrate AI and machine learning models into production systems
Develop and manage MLOps pipelines and data infrastructure, including data pipelines, data lakes, and data warehouses
Requirements:
Extensive experience in a senior engineering leadership role, such as Head of Engineering, CTO, or Principal Architect, within a SaaS or technology-driven environment
Proven ability to design and operate large-scale distributed systems with a focus on scalability, performance, and reliability
Advanced proficiency in cloud-native engineering, containerization, and DevOps practices
Experience integrating AI/ML technologies into production environments and maintaining robust MLOps workflows
Strong knowledge of data engineering and architectural design for AI-readiness
Exceptional technical judgment and the ability to balance innovation with stability and quality
Demonstrated ability to translate business and product requirements into effective, maintainable technical solutions
Nice to have:
Certifierad "AWS Cloud Solutions Architect Professional Certificate"
What we offer:
Competitive salary
Wellness grant and occupational pension
A fun and entrepreneurial environment
Career growth opportunities
Industry leading clients such as Paramount Advertising, Yahoo, Nine Group, Roku and many more
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