Hitachi Digital Services is looking for a Node.js/Typescript engineer to work in a small, agile team that creates REST and event-driven microservices focused on using caching and reporting to improve customer experience by scaling to handle millions of REST and Kafka events daily. The engineer will be responsible for creating and improving microservices, designing and implementing scalable, dependable systems, and making decisions in a self-starter environment.
Requirements
- Strong experience with Node.js and Typescript
- Understanding of DynamoDB or other key-value stores and NoSQL databases
- Experience using AWS managed services
- Experience with caching architectures, particularly Redis
- Strong experience with containerization and container orchestration, (Docker, Kubernetes, Helm, Istio, Argo, etc).
- Experience with monitoring technologies (Splunk, Instana, Datadog, Prometheus, etc).
- Knowledge of API documentation, especially Swagger (OpenAPI)
Responsibilities
- Code and perform unit and integration testing of software to ensure proper and efficient execution and adherence to business and technical requirements.
- Code, test, debug, and enhance software.
- Write programs according to specifications, and define specifications for complex programs.
- Monitor and repair critical systems on an as needed basis.
- Develop and maintain technical documentation.
- Serve as final escalation point to resolve incidents and problems for production applications and web services supported by the team in accordance with identified Service Level Agreements.
- Collaborate with internal customers, technical and architecture teams to solve complex software problems.
Other
- Actively and consistently supports all efforts to simplify and enhance the customer experience.
- Ability to read, write, speak and understand English
- Strong Understanding of Scrum/Agile development methodologies.
- Capable of delivering on multiple competing priorities with little supervision.
- Must be capable of delivering on multiple competing priorities with little supervision.
