Sr. Java Developer

Elantis; Torrance (CA); In loco; USD 140.000 - 210.000; Tempo pieno

Descrizione del lavoro

Elantis is seeking an experienced backend software engineer in California to design, build, and operate cloud-native services using Java/J2EE, Spring Boot, and Hibernate. You will work with AWS services (Lambda, API Gateway, EKS/ECS, RDS, DynamoDB) and implement RESTful microservices with Docker and Kubernetes in a DevOps-driven environment.

You will contribute to scalable architectures, participate in architecture discussions, and mentor junior engineers while ensuring security and performance

Competenze

• Strong backend software development experience with Java/J2EE and Spring.
• Hands-on AWS cloud deployment experience including Lambda, API Gateway, and managed services.
• Expertise in microservices, RESTful APIs, and event-driven architectures.
• Experience with containerization and orchestration (Docker, Kubernetes, OpenShift).
• Solid knowledge of JVM internals, concurrency, and performance tuning.
• Experience with relational and NoSQL databases (RDS, PostgreSQL, MySQL, DynamoDB).
• Proficient in CI/CD pipelines and DevOps practices (Jenkins, GitHub Actions, Terraform, CloudFormation).
• Knowledge of cloud security best practices (IAM, OAuth2, JWT, encryption).
• Familiar with Agile/Scrum processes and mentoring junior engineers.
• Experience with AI-assisted development tools is a plus.

Mansioni

• Design, develop, and support cloud-native backend services in Java/J2EE.
• Build and operate microservices and RESTful APIs with scalable performance.
• Implement secure, scalable CI/CD pipelines and infrastructure as code.
• Collaborate in Agile teams and participate in architecture discussions.
• Mentor junior engineers and review code for quality and reliability.

Conoscenze

Java/J2EE

Spring Boot

Spring Data JPA

Hibernate

AWS

AWS Lambda

API Gateway

Kubernetes

Docker

OpenShift

RDS

DynamoDB

PostgreSQL

MySQL

Jenkins

GitHub Actions

Terraform

CloudFormation

OAuth2/OpenID Connect

JWT

Security best practices

CI/CD

Agile/Scrum

Event-driven

RESTful APIs

Microservices

Serverless

AWS EKS

SNS

SQS

EventBridge

MSK (Kafka)

CloudWatch

IAM

Strumenti

Docker

Kubernetes

OpenShift

Jenkins

GitHub Actions

Terraform

CloudFormation

CI/CD tooling

Descrizione del lavoro

• 5-8+ years of professional software development experience, with a strong focus on backend development using Java/J2EE, Spring Boot, Spring Data JPA, Hibernate, and related open-source frameworks.
• Strong hands-on experience designing, developing, and supporting cloud-native applications on AWS, utilizing services such as Lambda, API Gateway, EKS, ECS, S3, RDS, DynamoDB, SNS, SQS, EventBridge, Amazon MQ, MSK (Kafka), CloudWatch, and IAM.
• Proficient in microservices architecture, RESTful APIs, event-driven systems, and serverless application development, with a strong understanding of distributed systems design principles.
• Experience with containerization and orchestration technologies, including Docker, Kubernetes, Amazon EKS, and/or Red Hat OpenShift.
• Strong understanding of Java fundamentals, JVM internals, concurrency, multithreading, performance optimization, and functional programming concepts (Lambda Expressions, Streams API, CompletableFuture, etc.).
• Experience with relational and NoSQL databases, including Amazon RDS, PostgreSQL, MySQL, DynamoDB, and related data modeling and performance optimization techniques.
• Hands-on experience implementing CI/CD pipelines and DevOps practices using tools such as Jenkins, GitLab CI/CD, GitHub Actions, AWS CodePipeline, Terraform, CloudFormation, or similar technologies.
• Knowledge of cloud security and application security best practices, including IAM, OAuth2, OpenID Connect, JWT, secrets management, encryption in transit and at rest, and secure API design.
• Strong problem-solving, debugging, troubleshooting, and performance tuning skills in large-scale production environments.
• Experience working in Agile/Scrum teams, participating in architecture discussions, code reviews, technical design, and mentoring junior engineers.
• Experience leveraging AI-assisted engineering tools (GitHub Copilot, Amazon Q, Cursor, Claude, OpenAI, or similar) to improve development productivity, code quality, testing, documentation, and troubleshooting.