Engineering Lead

K2 Partnering Solutions; Cuenca; Híbrido; EUR 90.000 - 120.000; Jornada completa

Descripción de la vacante

K2 Partnering Solutions is seeking an Engineering Lead for a hybrid role based in Barcelona with remote options across Spain. This full-time position focuses on building a cloud-native Data & AI platform, designing scalable architectures, and integrating cutting-edge technologies.

You will develop Kubernetes-based services and APIs to support deployment and management in cloud environments, analyze technical challenges, and drive long-term improvements while communicating effectively in English.

Formación

• Experience in Golang software development.
• Solid understanding of cloud-native tech, Kubernetes, and IaC.
• English communication skills and ability to learn quickly.

Responsabilidades

• Develop and improve a cloud-native Data & AI platform and design scalable architectures.
• Build Kubernetes-based platform services and APIs for deployment and management.
• Identify root causes of issues and implement long-term improvements.

Conocimientos

Golang

Kubernetes

Cloud-native architectures

Infrastructure as Code

MLOps familiarity

English language skills

Team collaboration

Descripción del empleo

Details - Role: Engineering Lead - Location: hybrid in Barcelona / Remote in Spain - Contract: full time - Language: English

Responsibilities

• Contribute to the development and improvement of a cloud-native Data & AI platform, helping to design scalable architectures and integrate suitable technologies.
• Build and automate platform services by developing Kubernetes-based solutions and APIs that support the deployment, management, and interaction with cloud environments.
• Analyse and resolve technical challenges by identifying root causes and implementing reliable, long-term improvements.

Profile

• Strong experience in software development with Golang and a solid understanding of cloud-native technologies, Kubernetes, and software engineering best practices, including Infrastructure-as-Code concepts.
• Interest in Artificial Intelligence and familiarity with MLOps practices, such as workflow orchestration and model lifecycle management.
• A proactive and collaborative mindset, with the ability to learn new technologies quickly and communicate effectively in English.