Solution Architect (Java & Angular

Info Dinamica Inc

Pittsburgh, PA, United States

8 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

10 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Java (Programming Language) Application Integration Architecture Automation of Tests Continuous Integration Distributed Systems Fault Tolerance High-Level Architecture Release Management Autoscaling Istio Spring-boot AngularJS

+5 more

Kubernetes Deployment Automation Restful APIs Vulnerability Analysis Microservices

Job 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.

Requirements

Strong experience in Java, Spring Boot, Microservices, Angular, and modern cloud-native architecture is required. Must-Have Skills:

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.
Banking Domain Intermediate * Banking experience is required. * Credit Card, payment processing, or card lifecycle experience is strongly preferred.
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