Infrastructure Engineer (Gerona)

Job OverviewDesign, maintain and monitor the infrastructure needed and streamline the processes in place in order to empower devs and other teams to effectively and efficiently deploy product updates.Company valuesPassion (V1): We want to be truly authentic in all that we do from the individual, to how we interact and how we work.This has the effect of a powerful, positive culture that helps create not only internal growth but projects our passion to our partners and the outside world.Performance (V2): Built with scalability in mind, making it easier to handle growing amounts of content and traffic, and deploy new experiences.At Spotlio we treat AI as a standard part of the engineering toolkit.We expect that AI tools are used daily to work faster and to higher quality - while keeping a human in the loop for anything that touches production, security, or customer data.We value employees who experiment with new AI capabilities, build reusable automations, and help the rest of the team level up.Customer-centric(V3): Placing the customer at the center of everything you do is key for long-term success.This involves actively listening to customer feedback, understanding their needs and pain points, and continuously working to improve their experience with your product or service.Innovation (V4): Ambition is not just a buzzword for us: we aim to grow the right way.Innovating means changing the way we work - we may be nonconformist, but our products are trustworthy and reliable.We step outside the box to bring new features to our partners, which in turn helps skiers and attraction seekers do more of what they like.Responsibilities and dutiesCarry 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)Lines of communicationThe Infrastructure Engineer reports to the CTO.The Infrastructure Engineer communicates with software developers, data analysts, support, and delivery teams.Working conditionsMinimum 100% availability as an employee of Spotlio EMEA SL.Willingness to work outside office hours with notice.Qualifications and requirementsHave availability to work, if needed, in our US team/customer's time zone, within the range 14:00 to 19:00 CET/CESTBasic DBA proficiencyExperienced in managing and scaling Amazon Web Services (AWS):RDSCloud WatchCloudformation, Terraform, Serverless or any other IaC systemsEC2ELB and WAFRedshiftCloudFrontS3Route53ECS and deployment of Docker containersLambdaRedisetc.Proficient with git and git workflowsExperienced in using server monitoring toolsInfrastructure as Code: Terraform, CloudFormation, etcExperience with CD-CI Tools: CircleCI, Bitbucket Pipelines, etc..Serverless FrameworkHands-on experience with at least one AI coding assistant or agentic developer tool (Claude Code, GitHub Copilot, Cursor, or similar) in a real engineering workflowAbility to prompt effectively for technical tasks - decomposing problems, providing context, and iterating - to get reliable results from AI toolsSound 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 toolAwareness 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 servicesProficient in writing and having a conversation in English#J-*****-Ljbffr

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 #J-*****-Ljbffr