Senior Solution Architect

Sysmind LLC
Woonsocket, United States of America
6 days ago

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 156K

Job location

Woonsocket, United States of America

Tech stack

Java
Artificial Intelligence
Amazon Web Services (AWS)
Applications Architecture
Azure
Batch Processing
Cloud Computing
Data Architecture
Distributed Systems
Cloud Services
Google Cloud Platform
Real Time Systems
Spring-boot
Containerization
Kubernetes
Data Analytics
Api Design
Microservices

Job description

Define and own end-to-end solution architecture across application, data, and integration layers. Design and guide development of microservices-based architectures using Java Spring Boot. Architect scalable cloud solutions on GCP, AWS, and Azure with focus on resilience and performance. Define API-first and event-driven integration patterns across enterprise systems. Establish data architecture supporting real-time, near real-time, and batch processing. Collaborate with AI/ML teams to enable integration of predictive and intelligent capabilities. Ensure non-functional requirements including security, scalability, observability, and reliability. Lead architecture governance, design reviews, and alignment across stakeholders.

Requirements

Architecture & Design 10-15 years of experience in solution/application architecture. Define and own end-to-end solution architecture across application, data, and integration layers. Experience in architecture governance, design reviews, and stakeholder alignment. Java & Microservices Strong hands-on experience in Java and Spring Boot (mandatory). Proven experience in microservices, API design, and distributed systems. Cloud Platforms Experience working with cloud platforms: o GCP o AWS o Azure Experience architecting scalable cloud solutions focused on resilience and performance. Containerization Hands-on experience with Kubernetes and containerization. Integration & Data Architecture API-first integration patterns. Event-driven integration patterns. Data architecture supporting: o Real-time processing o Near real-time processing o Batch processing AI / ML Experience collaborating with AI/ML teams to enable integration of predictive and intelligent capabilities. Non-Functional Requirements Security Scalability Observability Reliability Preferred Qualifications Experience with AI/ML-enabled or data-driven platforms. Experience in large-scale modernization programs. Knowledge of Revenue Cycle Management / financial systems (nice-to-have). Cloud or architecture certifications (optional). Skills: Digital : Google Cloud ~ Digital : Microservices ~ Digital : Spring Boot ~ Core Java

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