Platform Engineer

• Own and evolve ~20 Lambda-based microservices (Python 3.14, AWS CDK, aws-lambda-powertools)
• Design domain event patterns across services using EventBridge, SQS, and SNS
• Own services end-to-end: ensuring correct schema design → maintaining self-service deployment → alerting → on-call
• Build AI/ML integrations using Google Generative AI, semantic search, and recipe understanding pipelines
• Keep AWS spend honest
• Grow the team's skills through mentoring and knowledge-sharing sessions

Senior Platform Engineer – Dublin, Madrid

• Design, operate, and scale storage based infrastructure systems across multiple tenancy models (single vs. multi-tenant) and public clouds (AWS, Azure, and GCP).
• Deepen our team’s expertise in one more areas including: relational databases, search, caching, queuing, and streaming - helping strengthen platform scalability, security, and developer experience.
• Partner with Architecture, Release Engineering, Network, Compute, and Security teams to provide a seamless platform for application teams.
• Leverage tools and languages such as Terraform, Kubernetes, Helm, Argo CD, Python, SQL, Go, Bash, and Datadog.
• Participate in a balanced on-call rotation in an environment that values continuous improvement, helping to improve reliability and reduce operational toil.

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Senior Platform Engineer – Dublin, Madrid

Senior Platform Engineer, Storage