Description
We are seeking a Platform Engineering Lead to develop fit for purpose platforms, systems, infrastructure, data pipelines, and AI/ML deployment capabilities to address digital measurement, healthcare, and innovative product applications.
Key Responsibilities:
- Leads the transformation of platform, systems, infrastructure, and AI/ML engineering expertise into viable production-ready solutions.
- Provides technical leadership and mentorship to engineering teams while actively contributing to the development and delivery of platform, data, and AI/ML infrastructure capabilities.
- Leads the development of platform, backend, cloud, data, and deployment capabilities across products and engineering initiatives.
- Evaluates and drives adoption of new architectures, technologies, and engineering approaches in collaboration with software engineers, data engineers, machine learning engineers, and architects.
- Leads the building and deployment of new production-grade platforms, backend services, data pipelines, machine learning deployment frameworks, and automation systems that can process complex, high-dimensional data and support scalable analytics, AI/ML, and digital measurement applications.
- Uses a variety of techniques in order to improve the performance, scalability, reliability, and operational efficiency of platform, data processing, and machine learning production systems.
- Leads the testing and validation of platforms, systems, infrastructure, and deployment capabilities to determine viability for production deployment.
Requirements:
- Master's Degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, Artificial Intelligence, or related field
- 10+ years' experience designing, building, and operating production-grade software platforms, distributed systems, cloud infrastructure, data pipelines, and machine learning deployment environments
- Experience designing, building, and operating production-grade platforms, backend services, distributed systems, data pipelines, and cloud-native applications
- Programming experience using Python, Java, C++, or equivalent
- Experience with cloud-native platforms, Kubernetes, DevOps/MLOps practices, CI/CD pipelines, and Infrastructure as Code
- Experience deploying, scaling, and supporting machine learning, data processing, and analytics workloads in production environments
- Experience working with large-scale production systems, cloud environments, and real-world datasets
- Experience with release management, monitoring, observability, security, and operational best practices
- Proven experience leading engineering teams and driving delivery of complex platform, data, and cloud infrastructure initiatives
- Experience leading technical solution delivery and collaborating across engineering, data science, product, and architecture teams
Benefits:
- The potential base pay range for this role, when annualized, is €52,500.00 - €89,300.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.