Java Lead, Tech Lead
- Drevol LLC
9 Hours Ago
NA
W2
Dallas-TX
7-10 Years
Required Skills: Java Lead, Spring, AWS
Job Description
Technical Skills Required:
Bachelor’s degree in computer science, software engineering, or a related field.
10+ years of professional software engineering experience, including 7+ years building backend systems in Java.
2+ years managing engineers with direct reports, including performance reviews, and career development.
Deep expertise in modern Java (17+) and Spring Boot, including REST API design, Spring Data, and Spring Security.
3+ years designing, building, and running production systems on AWS (e.g., ECS/EKS, Lambda, API Gateway, RDS, DynamoDB, S3, SQS/SNS, CloudWatch, IAM).
Strong microservices and distributed systems design, including event-driven architecture, messaging, caching, and resiliency patterns.
Solid relational and NoSQL database skills (e.g., PostgreSQL or Oracle, DynamoDB), including data modeling and performance tuning.
Hands-on experience with CI/CD (Jenkins, GitHub Actions, or GitLab CI), containers (Docker, Kubernetes/ECS), and automated testing (JUnit, Mockito).
Proven track record of delivering complex, production-grade projects end to end in an Agile environment.
Strong written and verbal communication; able to explain technical trade-offs to engineers and business stakeholders alike.
Bachelor’s degree in computer science, software engineering, or a related field.
10+ years of professional software engineering experience, including 7+ years building backend systems in Java.
2+ years managing engineers with direct reports, including performance reviews, and career development.
Deep expertise in modern Java (17+) and Spring Boot, including REST API design, Spring Data, and Spring Security.
3+ years designing, building, and running production systems on AWS (e.g., ECS/EKS, Lambda, API Gateway, RDS, DynamoDB, S3, SQS/SNS, CloudWatch, IAM).
Strong microservices and distributed systems design, including event-driven architecture, messaging, caching, and resiliency patterns.
Solid relational and NoSQL database skills (e.g., PostgreSQL or Oracle, DynamoDB), including data modeling and performance tuning.
Hands-on experience with CI/CD (Jenkins, GitHub Actions, or GitLab CI), containers (Docker, Kubernetes/ECS), and automated testing (JUnit, Mockito).
Proven track record of delivering complex, production-grade projects end to end in an Agile environment.
Strong written and verbal communication; able to explain technical trade-offs to engineers and business stakeholders alike.
