Overview
This role sits within a NoSQL platform team responsible for building and operating highly available, production-grade data services at scale.
You’ll work hands-on across cloud infrastructure and software engineering to improve reliability, reduce operational effort through automation, and enable a more governed operating model across a large fleet of AWS accounts.
The focus is on building scalable platform capabilities (not ticket-by-ticket operations): self-service interfaces, safer rollouts, stronger observability, and operational tooling that makes complex upgrades and routine work dramatically easier.
Required Skills
- 3–5 years of production experience building and/or running distributed systems at meaningful scale
- Strong AWS experience, including IAM, VPC/networking, EC2, monitoring/observability, and multi-account environments
- Strong Terraform (or equivalent Infrastructure-as-Code) experience
- Python at a software-engineering level (Go or Java also acceptable)
- Strong Linux and production troubleshooting skills
- Practical experience with observability, incident response, and SRE practices on critical services
- Demonstrated bias for automating operational workflows vs. running manual procedures
- Hands-on experience with at least one production NoSQL / distributed data system (e.g., DynamoDB, Cassandra, ScyllaDB, wide-column stores, distributed key-value systems, or similar)
- Ability to work with full overlap with Netherlands business hours
Nice to Have Skills
- Deep DynamoDB knowledge (data modelling, partitioning/hot keys, capacity modes, GSI/LSI, Streams, Global Tables, PITR, backup/restore patterns)
- Agentic SDLC / AI-assisted engineering experience (coding agents or AI-driven automation across build/test/review/deploy/incident response/ops)
- Experience building internal platforms or self-service infrastructure for other engineering teams
- Large-scale migrations or infrastructure modernisation work
- Replacing manual operations with APIs, controllers, or automated workflows
- Kubernetes experience
- Highly available service design across regions and/or availability zones
Preferred Education and Experience
- Degree in Computer Science/Engineering (or related) or equivalent practical experience
- Evidence of ownership and impact in production environments, including collaboration with multiple stakeholder teams
Other Requirements
- Comfortable operating and improving systems spanning many AWS accounts and environments
- Able to contribute across design, implementation, code review, testing, deployment, and production support
- Clear written and verbal communication, with a pragmatic approach to problem-solving in ambiguous environments