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Cloud Infrastructure Architect

beBeeCloudMadrid, Comunidad de Madrid, España

Hace 3 días

Descripción del trabajo

Cloud Infrastructure Engineer

CQI Sense is a B2B company that leverages AI, Machine Learning and Analytics solutions to power Contact Centers worldwide. Our Engineering team extracts valuable insights from data to drive business impact while adhering to regulations.

This marks a significant step forward in real-time customer insight and optimization capabilities, as well as the introduction of conversational experiences enriched with AI.

Our platform is critical for large-scale telecommunications and airline companies. Furthermore, our solutions cater to a multi-lingual market requiring ongoing research supported by experts in various fields.

Overview

Main Responsibilities

Contribute to cloud governance, security best practices, and compliance automation.
Develop and maintain infrastructure as code using Terraform, ensuring repeatable, secure, and auditable infrastructure deployments.
Provision and manage Cloud resources (in GCP, Azure, and AWS), including networking, identity, Kubernetes, storage, databases, and event streaming services.
Deploy, configure, and support Kubernetes clusters, including RBAC, ingress, autoscaling, and secret management.
Collaborate with developers, architects, and DevOps engineers to ensure infrastructure aligns with application and security requirements.
Troubleshoot infrastructure and deployment issues in staging and production environments.
Troubleshoot implementation issues and collaborate with Customer Support, Engineering, and other teams to resolve technical escalations.
Contribute towards organizational success through knowledge sharing activities such as contributing to internal and external documentation, answering technical Q&A, and iterating on best practices.

Key Requirements

2+ years of experience in a similar position.

Hands-on experience with Terraform and infrastructure-as-code methodologies.

Strong expertise in GCP, including Kubernetes, Networking, IAM, identity federation, and managed identities.

Solid understanding of Kubernetes operations, including workload management and security controls.

Proficiency in automation and scripting (e.g., Bash, PowerShell, Python).

Familiarity with CI / CD pipelines and Git-based deployment workflows.

Additional Requirements

Knowledge of other platforms like Azure and AWS is beneficial.

Experience with GitOps tooling such as Argo CD or Flux CD.

Understanding of progressive delivery strategies including canary releases and blue-green deployments.

Familiarity with service mesh, ingress controllers, and secure API gateways.

Exposure to multi-region deployments, disaster recovery planning, and cloud cost optimization.

Experience working in high-availability and compliance-oriented environments.

Familiarity with generative AI tools capable of deploying these technologies in productive AI solutions.

What We Offer

A key role in an AI-driven product team.

Training and career growth opportunities.

A hybrid work model combining remote and office work.

Flexible working hours.

Benefits of a large corporation combined with a friendly and informal environment.

A commitment to employee development, with a career plan and regular feedback.

Health insurance and meal tickets.

Equity opportunities.

Cultural Values

Be Fair, Kind – Lead with integrity and respect.

No-Ego Collaboration – The best idea wins, regardless of origin.

Mission-Driven – Every action advances our vision.

Brave – Tackle challenges head-on and take bold action.

If You Can't Bill It, Kill It – Focus only on measurable value.

Customer Obsession – Every decision begins and ends with the customer.

Super Fast, Dynamic, Beyond Agile – Speed is our competitive edge.

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Cloud Architect • Madrid, Comunidad de Madrid, España