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Tech Stack
Tools & technologiesAWSDynamoDBElasticSearchIoTMicroservicesPostgresPythonRedis
About the role
Key responsibilities & impact- 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
What you’ll need- 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
- Can read IoT/embedded protocol code (CBOR, KSUID, CRC) without panicking
- Fluent in English; clear communicator with both technical peers and less-technical stakeholders
Benefits
Comp & perks- Competitive, market driven compensation
- Meaningful share options as part of our Employee Share Option Scheme
- A flexible hybrid model to suit you and your needs
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Python 3.14AWS LambdaAWS CDKEventBridgeSQSSNSDynamoDBPostgreSQLElasticsearchAI/ML integrations
Soft Skills
mentoringknowledge-sharingcommunication