Senior Platform Engineer – Dublin, Madrid

Role Overview

• 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: right-size memory/timeout configs, eliminate wasteful invocation patterns
• Grow the team's skills through mentoring, knowledge-sharing sessions, and other technical initiatives

Requirements

• 5+ years building production AWS Lambda systems at scale
• Fluent in Python with strict typing (pyrefly, Pydantic v2)
• Comfortable across DynamoDB, Valkey (Redis), PostgreSQL (SQLModel/Alembic), and Elasticsearch
• Strong AI engineering practice: AI tooling is a core part of your engineering workflow
• Can read IoT/embedded protocol code (CBOR, KSUID, CRC) without panicking
• Fluent in English; clear communicator with both technical peers and less-technical stakeholders

Tech Stack

• AWS
• DynamoDB
• ElasticSearch
• IoT
• Microservices
• Postgres
• Python
• Redis

Benefits

• Competitive, market driven salaries
• Meaningful share options as part of our Employee Share Option Scheme
• A flexible hybrid model to suit you and your needs