Network Automation & AI Consultant

Location: Madrid, Spain; partially remote

Company

hirify.global runs and modernizes mission-critical technology systems for large enterprises, combining consulting, engineering, cloud, automation, and AI capabilities.

What you will do

• Design modern enterprise network architectures across data center, campus, WAN, cloud, and edge environments.
• Build reusable automation services, APIs, connectors, Infrastructure as Code, and network lifecycle workflows.
• Develop observability frameworks, operational data pipelines, AIOps use cases, and analytics for network operations.
• Design AI-enabled workflows, copilots, and agentic components for event triage, incident enrichment, remediation, and reporting.
• Lead client assessments, workshops, architecture reviews, transformation roadmaps, advisory, and solutioning activities.
• Create reusable reference architectures, blueprints, playbooks, software assets, and delivery accelerators while mentoring multidisciplinary teams.

Requirements

• Degree in telecommunications engineering, computer science, software engineering, data engineering, or equivalent professional experience.
• Strong enterprise networking experience covering network architecture, routing, switching, segmentation, resilience, security, hybrid connectivity, or network operations.
• Hands-on software development and automation experience with Python, APIs, Git, CI/CD, Ansible, Terraform, or similar tools.
• Practical knowledge of public cloud, containers, Kubernetes, platform engineering, observability, operations data, and AI-enabled operations.
• Experience with agile delivery, DevOps environments, consulting, stakeholder management, and translating technical capabilities into business outcomes.
• Advanced English, written and spoken, is required.

Nice to have

• Experience with Dynatrace, Splunk, Elastic, Datadog, Grafana, or similar observability and AIOps platforms.
• Experience developing AI agents, copilots, RAG solutions, LLM integrations, vector databases, or agentic workflows.
• Knowledge of SDN, SASE/SSE, Zero Trust, cloud networking, infrastructure as code, SRE, and reliability engineering.
• Experience with network platform integrations, digital twins, simulation, lab automation, reusable delivery assets, or relevant professional certifications.

Culture & Benefits

• Partially remote, hybrid-friendly work environment.
• Well-being programs supporting financial, mental, physical, and social health.
• Personalized development goals, continuous feedback, coaching, and career development tools.
• Access to certification and learning opportunities involving Microsoft, Google, and Amazon technologies.
• Inclusive culture focused on belonging, empathy, continuous learning, and shared success.