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 adaptable, supportive environment where your well-being is prioritized and your potential can thrive.

The Role

At Kyndryl, we are looking for a Network Platforms, Automation & AI Operations consultant to help shape, industrialize, and deliver the next generation of enterprise network modernization capabilities. This role is both a client-facing transformation role and a capability-building / software-building role. The successful candidate will help Kyndryl design, build, and scale modernization programs that combine network architecture, software engineering, cloud-native platforms, automation, observability, data engineering, AIOps, and AI-enabled operations. 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.

Responsibilities

- 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.
- 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.
- 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.
- Design and develop AI-enabled operational workflows, copilot

📌 Network Automation (Madrid)
🏢 Kyndryl
📍 Madrid