Sr. Java Architect (Onsite) Local to Irvine, CA
DataFlix Inc.
Irvine, CA, United States
7 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
Application Programming Interfaces (APIs)
Amazon S3
Application Integration Architecture
Continuous Integration
Data Architecture
Distributed Systems
Amazon DynamoDB
Spring Framework
PostgreSQL
NoSQL
OAuth
+29 more
Oracle (Applications)
Redis
Openid Connect
Cloud Services
Prometheus
Data Streaming
Systems Integration
Enterprise Software Applications
LangChain
Retrieval-Augmented Generation
Large Language Models
Grafana
Spring-boot
Software Security
Event Driven Architecture
Amazon Relational Database Service
Information Technology
Deployment Automation
Apache Kafka
Asynchronous Programming
Api Gateway
Restful APIs
Terraform
Grpc
Webhooks
Dynatrace
OpenSearch
Docker
Microservices
Requirements
- Bachelorβs degree in Computer Science, Engineering, or equivalent practical experience.
- 15+ years of overall IT experience, including 10+ years in enterprise application development.
- 3+ years of experience in Architect or Lead Architect roles.
- Deep expertise in Java 17/21/25, Spring Boot, Spring Framework, REST APIs, and gRPC.
- Strong experience designing microservices, distributed systems, and Domain-Driven Design (DDD) architectures.
- Proven expertise in Apache Kafka, event-driven architecture, and real-time streaming solutions.
- 5+ years of experience with AWS cloud services, including EKS, ECS, Lambda, API Gateway, RDS, DynamoDB, S3, and MSK.
- Strong knowledge of PostgreSQL, Oracle, NoSQL databases, Redis, and data architecture best practices.
- Experience with enterprise integrations, B2B APIs, Webhooks, and asynchronous communication patterns.
- Expertise in security frameworks including OAuth2, OpenID Connect, and API security.
- Experience implementing observability and reliability practices using ELK/OpenSearch, Prometheus, Grafana, and distributed tracing tools.
- Familiarity with AI integration, including RAG, Vector Databases, LLMs, and LangChain/LangChain4j.
- Experience with CI/CD, Terraform, Docker, and modern deployment strategies.
- Strong leadership, stakeholder management, and mentoring skills.
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