What are the responsibilities and job description for the Solution Architect (Java & Angular) with Banking / Credit Cards exp position at Info Dinamica Inc?
Role: Solution Architect (Java & Angular) with Banking / Credit Cards exp
Location/s: Pittsburgh, PA (1st preference) / Dallas, TX / Columbus, OH / Strongsville, OH / Charlotte, NC / Phoenix, AZ (3 days a week in office)
Job Type: Contract
Experience Required: 10 Years
Description:
The candidate should be able to go beyond high-level architecture discussions and clearly explain design decisions, trade-offs, failure scenarios, and real-world production considerations.
Key screening focus:
Java Spring Boot Microservices Angular Banking/Credit Cards Distributed Systems Kubernetes Resilience System Design.
Java Spring Boot Microservices Angular Banking/Credit Cards Distributed Systems Kubernetes Resilience System Design.
Role Overview:
We are looking for an experienced Solution Architect to design scalable, secure, and high-performance enterprise applications for the banking industry.
Strong experience in Java, Spring Boot, Microservices, Angular, and modern cloud-native architecture is required.
Must-Have Skills:
1. Java / Spring Boot / Microservices Advanced
- Strong hands-on experience with Java and Spring Boot.
- Strong expertise in Microservices, REST APIs, and distributed systems.
- Ability to explain service boundaries, communication, consistency, and failure handling.
2. Banking Domain Intermediate
- Banking experience is required.
- Credit Card, payment processing, or card lifecycle experience is strongly preferred.
3. Angular / Solution Architecture Advanced
- Strong Angular experience.
- Strong understanding of enterprise architecture, application integration, and distributed systems.
Architecture & Technical Depth Critical:
Candidates must demonstrate strong practical knowledge of:
- Microservices & Distributed Systems
- Saga Pattern Choreography, Orchestration, and compensating transactions
- Resilience & Fault Tolerance Circuit Breaker, retries, timeouts, backoff, and cascading failure prevention
- Kubernetes Deployments, Services, health probes, resource management, autoscaling, and troubleshooting
- Service Mesh Traffic management, mTLS, observability, retries, and circuit breaking
- CI/CD Automated testing, deployment strategies, rollback, security scanning, and release management
- System Design Scalability, resilience, architectural trade-offs, and failure scenarios