• Design, build, and maintain backend services and data pipelines that support our backend system which powers our cybersecurity platform - the platform we use to identify vulnerabilities in large enterprises • Architect scalable microservices and APIs to handle large volumes of data relating to millions of assets belonging to our clients and how they can be compromised • Work closely with frontend engineers and product teams to integrate backend systems with the user interface and reporting layers • Continuously improve our systems, from deployment to monitoring, as we scale rapidly.

• You will design and maintain scalable backend services using DDD and CQRS • You will implement asynchronous communication using RabbitMQ/Kafka • You will lead code reviews and inspection rules in CI/CD pipelines • You will manage observability and stability of AWS infrastructure (CloudWatch) and orchestrate containers in Kubernetes • You will collaborate directly with Product and QA to turn user stories into efficient technical solutions

• Design and own backend services in NestJS and TypeScript • Build and maintain GraphQL APIs across a microservices environment • Own database design, optimization, and reliability in Postgres • Set and enforce quality standards across agent-generated and manually written code • Collaborate with product teams on requirements before they become tickets • Contribute to technical decisions across architecture, infrastructure, testing, and developer productivity • Deliver high-quality systems at AI velocity while retaining full ownership of architecture, correctness, security, performance, and production reliability

• Design and own backend services in NestJS and TypeScript, from schema to production • Architect for scale, not just for the feature in front of you • Build and maintain GraphQL APIs across a microservices environment • Own database design, optimization, and reliability in Postgres • Set and enforce quality standards across agent-generated and manually written code alike • Shape requirements with product before they become tickets • Contribute to technical decisions across architecture, infrastructure, testing, and developer productivity • Use AI to deliver high-quality systems at AI velocity while retaining full ownership of architecture, correctness, security, performance, and production reliability