Head of Engineering

About the Role

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.

Key Responsibilities

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

Professional Background and Experience

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

A plus would be to have Certifierad "AWS Cloud Solutions Architect Professional Certificate"

Location: Stockholm or Malmö