Engineer 2 - SEP Team Full stack
THE JUDGE GROUP, INC.
Seattle, WA, United States
18 days ago
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Role details
Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Compensation
$124,800.0 - $135,200.0
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
JavaScript (Programming Language)
Amazon Web Services
Amazon Cloudfront
Automation of Tests
Cloud Computing
Cloud Engineering
Databases
Data Synchronization
Relational Databases
Disaster Recovery
Distributed Systems
+19 more
Amazon DynamoDB
NoSQL
Software Maintenance
Software Engineering
SQL Databases
Data Streaming
TypeScript
Data Storage Technologies
Test-Driven Development (TDD)
ReactJS
Spring-boot
Infrastructure as Code (IaC)
Git
Event Driven Architecture
Apache Kafka
Route53
Terraform
Software Version Control
Docker
Requirements
- Java 8+ and Spring Boot
- React.js
- JavaScript/TypeScript
- SQL and relational databases
- Kafka or event-streaming platforms
Experience with:
- Docker and Kubernetes
- Git-based source control workflows
- Cloud platforms, preferably AWS
AWS & Cloud Architecture
-
Experience with AWS services such as:
- RDS
- EKS/ECS
- DynamoDB
Strong understanding of multi-region AWS architectures, disaster recovery strategies, and high-availability solutions. Software Engineering Practices
- Experience building and optimizing CI/CD pipelines.
- Strong understanding of Test-Driven Development (TDD) and automated testing.
- Commitment to developing secure, reliable, and maintainable software.
Infrastructure & Automation
- Experience with Terraform and Infrastructure as Code (IaC).
- Knowledge of scripting and automation techniques.
- Understanding of multiple database technologies and data storage paradigms.
Preferred Qualifications
-
Experience with AWS services including:
- Route 53
- CloudFront
- Global Accelerator
Understanding of multi-region data synchronization and consistency models, including:
- Eventual Consistency
- Conflict Resolution Strategies
Experience with NoSQL databases.
Knowledge of distributed systems and large-scale event-driven architectures.
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