Who We Are At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world's leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a versátil, supportive environment where your well-being is prioritized and your potential can thrive. The Role You will work with large-scale enterprise environments, helping customers evolve from traditional network operations to more software-driven, observable, automated, data-informed, and resilient operating models. This includes defining architectures, roadmaps, reusable assets, delivery accelerators, and platform capabilities that improve reliability, reduce operational effort, accelerate incident resolution, and increase service quality. A key part of the role will be to design and develop reusable software components for network modernization, including automation services, API integrations, data ingestion pipelines, observability connectors, AI-enabled operational workflows, copilots, agentic AI components, and reusable accelerators that can be industrialized across multiple clients and engagements. The role requires a strong foundation in enterprise networking, but it is equally important that the candidate brings a strong engineering mindset and hands-on experience across software development, APIs, automation, data pipelines, cloud platforms, Kubernetes/container platforms, DevOps practices, agile delivery, and AI-enabled operational use cases. You will act as a trusted advisor to client stakeholders while also building reusable capabilities for Kyndryl, including assessment frameworks,



reference architectures, automation blueprints, observability models, data/AI integration patterns, agentic AI use cases, demos, playbooks, reusable code components, and delivery methodologies. Who You Are Network Platforms & Enterprise Architecture
* Design and deliver modern enterprise network architectures across data center, campus, WAN, cloud, and edge environments.
* Translate business, application, and operational requirements into scalable, secure, observable, and automated network platform designs.
* Support the modernization of traditional network environments through software-defined networking, cloud networking, segmentation, resilience, and platform-based operating models.
* Integrate network platforms with cloud services, security platforms, ITSM tools, observability solutions, and automation/orchestration frameworks.
* Provide technical leadership in complex client environments, ensuring that network modernization initiatives are aligned with business outcomes, operational requirements, and long-term scalability. Software Engineering, Automation & Cloud-Native Platforms
* Design and develop reusable software components to support network modernization and AI-enabled operations.
* Build automation services, APIs, connectors, workflows, and integration components using modern software engineering practices.
* Develop Infrastructure as Code and automation frameworks for network lifecycle management,



configuration, compliance, validation, and remediation.
* Contribute to cloud-native platform designs using containers, Kubernetes, CI/CD pipelines, Git-based workflows, and DevOps practices.
* Industrialize reusable assets, code libraries, templates, and delivery accelerators that can be applied across multiple clients and engagements. Observability, Data Engineering & AIOps
* Define observability frameworks for network operations, including telemetry, metrics, logs, events, flows, traces, correlation, and service-level indicators.
* Design and implement data ingestion, processing, and analytics pipelines to make network operational data usable for automation, analytics, and AI-enabled use cases.
* Integrate observability and AIOps platforms with network, cloud, security, and IT operations ecosystems.
* Develop use cases for anomaly detection, incident correlation, capacity forecasting, root cause analysis, service impact analysis, and operational decision support.
* Help customers evolve from reactive monitoring to more predictive, data-driven, and automated operational models. AI Agents & Intelligent Operations
* Design and develop AI-enabled operational workflows, copilots, and agentic components for NetOps and NOC environments.
* Build or integrate agents capable of supporting tasks such as event triage, knowledge retrieval, incident enrichment, recommended remediation, change validation, and operational reporting.
* Define integration patterns between AI agents, observability platforms, automation tools, ITSM systems, knowledge bases, and network control interfaces.
* Support the responsible use of AI in network operations, including governance, human-in-the-loop controls, audit

📌 Associate Consultant in Network Platforms, Automation (Barcelona)
🏢 Kyndryl
📍 Barcelona