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Catalate

Infrastructure Engineer

Catalate

Infrastructure Engineer at Spotlio responsible for designing and maintaining deployment infrastructure. Collaborating with dev teams to streamline product updates while ensuring cybersecurity.

Posted 6/4/2026full-timeGirona • 🇪🇸 SpainMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
Amazon RedshiftAWSCloudCyber SecurityDockerEC2RedisTerraform

About the role

Key responsibilities & impact
  • Carry out the tasks assigned by the Systems Manager (V2)
  • Build and set up new development tools and infrastructure (V1,V2,V4)
  • Understand the needs of stakeholders and convey them to developers (V1, V2, V3, V4)
  • Work on ways to automate and improve development and release processes (V1, V2, V4)
  • Ensure that systems are safe and secure against cybersecurity threats (V1, V2, V3, V4)
  • Participate in compliance and certification initiatives (V1, V2, V4)
  • Identify technical problems and develop software updates and ‘fixes’ (V1, V2, V3, V4)
  • Monitor the status of systems in operation, detect failures, bottlenecks or other incidents (V1, V2, V4)
  • Work with software developers and software engineers to ensure that development follows established processes and works as intended (V1, V2, V3, V4)
  • Plan out projects and be involved in project management decisions (V1, V2, V3, V4)
  • Participate in the daily stand-up meetings, retrospectives and other meetings involved in the SCRUM process (V1, V2, V3, V4)
  • Collaborate with the Support, QA, delivery, partner services and analytics teams (V1, V2, V3, V4)
  • Track and log the time spent in the different tasks assigned (V2)
  • Use AI coding assistants and agentic tools (e.g. Claude / Claude Code, Copilot, Cursor) to accelerate authoring and review of IaC, deployment scripts, and automation — applying human judgment to validate output before it reaches production (V1, V2, V4)
  • Apply AI to operational signals — log, metric, and trace analysis, incident triage, and root-cause investigation — to detect failures and bottlenecks faster (V2, V3, V4)
  • Build and maintain AI-assisted automations in pipelines, runbooks, and internal tooling (e.g. LLM-driven checks, summarization of alerts, automated documentation) (V1, V2, V4)
  • Use AI tools responsibly and securely: never expose secrets, credentials, or customer data in prompts, and follow established data-handling and compliance practices when working with AI services (V2, V3, V4)
  • Contribute to team-wide AI adoption by sharing effective prompts, workflows, and patterns, and helping raise the team's overall AI fluency (V1, V4)

Requirements

What you’ll need
  • Have availability to work, if needed, in our US team/customer’s time zone, within the range 14:00 to 19:00 CET/CEST
  • Basic DBA proficiency
  • Experienced in managing and scaling Amazon Web Services (AWS):
  • RDS
  • Cloud Watch
  • Cloudformation, Terraform, Serverless or any other IaC systems
  • EC2
  • ELB and WAF
  • Redshift
  • CloudFront
  • S3
  • Route53
  • ECS and deployment of Docker containers
  • Lambda
  • Redis
  • etc.
  • Proficient with git and git workflows
  • Experienced in using server monitoring tools
  • Infrastructure as Code: Terraform, CloudFormation, etc
  • Experience with CD-CI Tools: CircleCI, Bitbucket Pipelines, etc..
  • Serverless Framework
  • Hands-on experience with at least one AI coding assistant or agentic developer tool (Claude Code, GitHub Copilot, Cursor, or similar) in a real engineering workflow
  • Ability to prompt effectively for technical tasks — decomposing problems, providing context, and iterating — to get reliable results from AI tools
  • Sound judgment about AI limitations: reviews, tests, and verifies AI-generated code and configuration rather than accepting it blindly; recognises when AI is and isn't the right tool
  • Awareness of the security and privacy considerations of using AI services (data leakage, prompt injection, supply-chain risk)
  • Desirable: experience building automations on top of LLM APIs, or with agent/MCP-style tooling and AI-powered observability (AIOps)
  • Having a problem-solving attitude.
  • Motivated to work in a development team and collaborate with other team members: support, delivery, and resort partner services
  • Proficient in writing and having a conversation in English

Benefits

Comp & perks
  • Minimum 100% availability as an employee of Spotlio EMEA SL. Willingness to work outside office hours with notice.

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Hard Skills & Tools
AWSRDSCloud WatchCloudFormationTerraformEC2DockerGitCI/CDAI coding assistants
Soft Skills
problem-solvingcollaborationcommunicationjudgmentstakeholder managementproject managementadaptabilityteamworkeffective promptingmotivation