Design, 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.
Passion (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 duties
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)
Lines of communication
The Infrastructure Engineer reports to the CTO.
The Infrastructure Engineer communicates with software developers, data analysts, support, and delivery teams.
Working conditions
Qualifications and requirements
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
Skills Required
- Availability to work, when needed, in the US team or customer time zone between 14:00 and 19:00 CET/CEST
- Basic database administration proficiency
- Experience managing and scaling Amazon Web Services, including RDS, CloudWatch, CloudFormation, EC2, ELB, WAF, Redshift, CloudFront, S3, Route 53, ECS, Docker containers, Lambda, and Redis
- Proficiency with Git and Git workflows
- Experience using server monitoring tools
- Experience with infrastructure as code tools such as Terraform and CloudFormation
- Experience with CI/CD tools such as CircleCI and Bitbucket Pipelines
- Experience with the Serverless Framework
- Hands-on experience with an AI coding assistant or agentic developer tool such as Claude Code, GitHub Copilot, or Cursor
- Ability to write effective technical prompts by decomposing problems, providing context, and iterating
- Ability to review, test, and verify AI-generated code and configurations
- Awareness of AI security and privacy risks, including data leakage, prompt injection, and supply-chain risk
- Problem-solving attitude
- Motivation to collaborate with development, support, delivery, analytics, and partner services teams
- Proficiency in written and spoken English
- Experience building LLM API automations, agent or MCP tooling, or AI-powered observability
What We Do
Catalate empowers attractions, waterparks, ski areas, and other ticketing businesses to maximize revenue year-round, offer seamless online customer experiences, and gain operational efficiencies from advanced sales. Catalate delivers the ultimate digital platform for pricing optimization and e-commerce for global ticketed attractions of all sizes. Customers can purchase tickets easily online at their convenience, helping increase advanced-purchase ticket sales and maximize conversion rates to deliver predictable revenue. The ability to forecast staffing, F&B needs, and streamline other operational tasks helps businesses deliver a better customer experience while managing operating costs. Catalate’s white glove customer service is the highest-rated in our industry and provides friendly, knowledgeable, and timely assistance for your online ticketing needs. Headquartered in the United States and with offices worldwide, Catalate’s technologies help parks and attractions thrive in the US, Canada, Switzerland, Germany, Austria, France, Japan, New Zealand, Australia, and Chile.
