Infrastructure Engineer
TLDR
Design and maintain infrastructure to empower development teams, streamline deployment processes, and integrate innovative AI tools effectively.
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Carry out the tasks assigned by the Systems Manager (V2)
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Build and set up new development tools and infrastructure (V1,V2,V4)
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Understand the needs of stakeholders and convey them to developers (V1, V2, V3, V4)
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Work on ways to automate and improve development and release processes (V1, V2, V4)
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Ensure that systems are safe and secure against cybersecurity threats (V1, V2, V3, V4)
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Participate in compliance and certification initiatives (V1, V2, V4)
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Identify technical problems and develop software updates and ‘fixes’ (V1, V2, V3, V4)
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Monitor the status of systems in operation, detect failures, bottlenecks or other incidents (V1, V2, V4)
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Work with software developers and software engineers to ensure that development follows established processes and works as intended (V1, V2, V3, V4)
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Plan out projects and be involved in project management decisions (V1, V2, V3, V4)
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Participate in the daily stand-up meetings, retrospectives and other meetings involved in the SCRUM process (V1, V2, V3, V4)
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Collaborate with the Support, QA, delivery, partner services and analytics teams (V1, V2, V3, V4)
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Track and log the time spent in the different tasks assigned (V2)
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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)
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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)
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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)
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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)
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Contribute to team-wide AI adoption by sharing effective prompts, workflows, and patterns, and helping raise the team's overall AI fluency (V1, V4)
The Infrastructure Engineer reports to the CTO.
The Infrastructure Engineer communicates with software developers, data analysts, support, and delivery teams.
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Have availability to work, if needed, in our US team/customer’s time zone, within the range 14:00 to 19:00 CET/CEST
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Basic DBA proficiency
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Experienced in managing and scaling Amazon Web Services (AWS):
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RDS
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Cloud Watch
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Cloudformation, Terraform, Serverless or any other IaC systems
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EC2
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ELB and WAF
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Redshift
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CloudFront
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S3
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Route53
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ECS and deployment of Docker containers
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Lambda
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Redis
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etc.
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Proficient with git and git workflows
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Experienced in using server monitoring tools
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Infrastructure as Code: Terraform, CloudFormation, etc
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Experience with CD-CI Tools: CircleCI, Bitbucket Pipelines, etc..
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Serverless Framework
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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
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Ability to prompt effectively for technical tasks — decomposing problems, providing context, and iterating — to get reliable results from AI tools
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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
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Awareness of the security and privacy considerations of using AI services (data leakage, prompt injection, supply-chain risk)
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Desirable: experience building automations on top of LLM APIs, or with agent/MCP-style tooling and AI-powered observability (AIOps)
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Having a problem-solving attitude.
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Motivated to work in a development team and collaborate with other team members: support, delivery, and resort partner services
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Proficient in writing and having a conversation in English
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Catalate delivers the ultimate digital platform for pricing optimization and e-commerce for global ticketed attractions of all sizes.
- Employees
- 11-50 employees