Infrastructure Engineer - BCN/ MAD - Hybrid

ailylabs
Madrid, Spain
27 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
4 years minimum
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Cloud Computing Continuous Delivery Continuous Integration Software Debugging DevOps Github Python (Programming Language) Software Engineering Datadog Scripting Kubernetes Helm Charts
+6 more
Infrastructure as Code (IaC) Kubernetes Infrastructure Automation Frameworks Information Technology Terraform Programming Languages

Job description

We’re looking for a Infrastructure Engineer to join our Cloud Infrastructure Team. In this role, you’ll contribute to deploying and maintaining our cloud infrastructure using Infrastructure as Code (IaC) tools like Terraform and Terragrunt. You’ll help automate operations, improve efficiency, and ensure our infrastructure remains stable and follows established best practices.

As an Infrastructure Engineer on our Infrastructure Team, you will:

  • Work with Kubernetes: Support the deployment and maintenance of containerized applications on Kubernetes clusters. You’ll help manage workloads, troubleshoot issues, and assist in implementing best practices for container orchestration.
  • Support Cloud Infrastructure Implementation: Assist in deploying and maintaining infrastructure solutions, primarily on AWS using Infrastructure as Code (IaC) tools like Terraform and Terragrunt.
  • Automate CI/CD to the max: Help develop and maintain automation processes using Python to improve infrastructure efficiency and reliability. You’ll create scripts, tools, and utilities while also supporting continuous deployment pipelines with GitHub Actions, and FluxCD, particularly for Kubernetes deployments.
  • Collaborate Across Teams: Work alongside the Developer Experience (DevEx), Security, and other Platform teams to ensure smooth operations. You’ll contribute to improving operational efficiency and supporting infrastructure solutions across these functions.
  • Document and Share Knowledge: Help create and maintain documentation of infrastructure processes and systems, including Kubernetes configurations and deployment procedures.
  • Hands-on debugging infrastructure issues: Participate in troubleshooting and optimizing infrastructure processes, with a focus on container orchestration and Kubernetes-related issues.
  • Be involved in support and on-call activities as part of the infrastructure team., * Learning Opportunities: Join the Infrastructure Team where you’ll gain hands-on experience with Kubernetes, cloud infrastructure, and modern DevOps practices.
  • Growth Path: Take on progressively challenging projects that will develop your skills in container orchestration, automation, and cloud technologies.
  • Collaborative Environment: Join an internationally diverse and supportive team that encourages learning and innovation.
  • Flexible Work Arrangements: Benefit from flexible working options, including remote and hybrid setups, to suit your lifestyle.
  • Professional Development: Access resources and mentorship to advance your Kubernetes, cloud infrastructure, and automation skills.
  • Community and Culture: Engage in team-building events, offsites, and be part of a feedback-driven culture focused on continuous growth.

Requirements

  • 4+ years of experience in infrastructure engineering, software engineering, or related fields.
  • Identify as a platform engineer, SRE or DevOps engineer
  • Hands-on AWS experience in production
  • Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience).

Technical Skills:

  • Excellent hands-on Kubernetes .
  • Experience with GitOps in production
  • Understand and apply Infrastructure as Code (IaC) concepts, specifically Terraform.
  • Experience with Helm charts for Kubernetes deployments.
  • CI/CD pipeline experience, ideally with GitHub Actions.
  • Experience with Python scripting or other programming languages for automation.
  • Actively use modern AI tooling e.g. Claude Code

Soft Skills:

  • Strong problem-solving abilities and attention to detail.
  • Good English communication skills and ability to work effectively in a team.
  • Eager to learn and adapt to new technologies, particularly in the Kubernetes ecosystem.

Nice to Have

  • Kubernetes certifications (CKA, CKAD) or actively pursuing them.
  • Familiarity with DataDog or similar monitoring tools for Kubernetes.

About the company

About Us At Aily Labs, we are a rapidly growing startup with headquarters in Munich and Barcelona. Founded in early 2020, we’ve expanded into a vibrant team of over 300 professionals, all committed to creating cutting-edge Artificial Intelligence products. With offices in Barcelona, Madrid, Munich, Cluj, and New York, we foster a fun and agile work environment where every team member’s contribution makes a significant impact.

Apply for this position

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