As a Technical Lead, you’ll drive the design and implementation of data-intensive, AI-powered solutions within secure environments. Collaborating with cross-functional teams, you’ll shape technical architecture, remove blockers, and ensure the delivery of scalable, high-quality features. This role also involves mentoring engineers and promoting a culture of technical excellence and continuous improvement.
Key Responsibilities
Lead architecture and technical strategy ensuring secure, scalable, and maintainable AI-driven solutions aligned with product goals.
Oversee product delivery and engineering quality, defining clear requirements, enforcing high standards, and promoting automation in testing and deployment.
Drive cloud infrastructure management and DevSecOps practices across multi-cloud environments to optimize security and operations.
Mentor and collaborate with teams and stakeholders, managing risks, compliance, and fostering a culture of continuous improvement and psychological safety.
Requirements
5+ years in technical leadership within data-intensive, AI-driven environments.
Hands-on expertise with AWS and Azure cloud architectures and services.
Proven experience designing and managing CI/CD pipelines using tools like GitHub Actions, Jenkins, or GitLab CI.
Strong knowledge of DevSecOps, secure coding standards, and Infrastructure as Code (Terraform, CloudFormation).
Proficiency in agile methodologies and related tools (e.g., Jira) for backlog management and estimation.
Excellent collaboration, communication, and mentorship skills to lead and develop engineering teams.
Nice-to-have
* Experience with containerization and orchestration (Docker, Kubernetes) and observability/monitoring tools (Prometheus, Grafana, CloudWatch).
Background in automation frameworks and test strategies aimed at minimizing manual testing.
Proven ability to lead cross-functional, distributed teams.
Knowledge of enterprise security frameworks and audit compliance requirements.
Detalles
Kadre is working with a fast-growing Data & AI team within the aviation industry, supporting several leading airline and travel-related brands. Their mission is to accelerate the impact of Artificial Intelligence across multiple business units, driving innovation and generating value at scale through data-driven solutions.
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