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Solutions Architect

Rutherford, NJ, US • Posted 1 day ago • Updated 4 hours ago

Contract W2

On-site

$85 - $90/hr

Fitment

Dice Job Match Score™

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Job Details

Skills

Brand
Financial Services
Analytics
Regulatory Compliance
Regulatory Reporting
Computer Science
FOCUS
Enterprise Application Integration
Domain-driven Design
Agile
Scalability
Generative Artificial Intelligence (AI)
Vertex
Continuous Integration
Continuous Delivery
Machine Learning Operations (ML Ops)
Testing
Analytical Skill
Problem Solving
Conflict Resolution
Communication
Mentorship
JDK
Spring Framework
Hibernate
Gradle
Python
Apache HTTP Server
Meta-data Management
Middleware
Apache Kafka
RabbitMQ
GitHub
Software Development Methodology
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
Kubernetes
Docker
NoSQL
Database
Oracle
PostgreSQL
MongoDB
Apache Cassandra
Banking
Finance
Java
IT Management
Software Development
Technical Writing
API
Documentation
Microservices
Artificial Intelligence
Machine Learning (ML)

Summary

Grow your career as a Solutions Architect with an innovative global bank in Rutherford, NJ. Contract role with strong possibility of extension and/or conversion. Will require working a hybrid schedule 2-3 days onsite per week.

Join one of the world's most renowned global banks and trusted brand with over 200 years of continuously evolving financial services worldwide. This role involves proposing and developing solutions for risk calculations, trade analytics, compliance and regulatory reporting. You will work alongside some of the smartest minds in the industry who are excited to share their knowledge and to learn from you.

Contract Duration: 6+ Months

Required Skills & Experience

Bachelor's or Master's degree in Computer Science, Engineering, or a related field
+15 years of extensive experience in software development with a strong and proven focus on Java Microservices, enterprise application/integration, domain driven design.
Hands-on experience in using Manifestos, agile, and AI/ML.
Expertise in integrating AI/ML into production systems, including a thorough understanding of model deployment, inference, scalability, agentic AI, generative AI, Vertex AI Gemini Pro, and monitoring challenges.
Familiarity with CI/CD pipelines, MLOps principles, and tools for automating deployment, testing, and monitoring of both software and AI/ML pipelines.
Exceptional analytical and problem-solving skills.
Excellent verbal and written communication skills.
Demonstrated ability to lead technical initiatives, mentor team members, and drive consensus on technical decisions within cross-functional teams.
Technical knowledge & skills:
- Language and Package Expertise: Expert-level proficiency in Java (JDK 11+) and core Java ecosystem (Spring Boot, Spring Cloud, Hibernate, Gradle), Python, Apache Superset, Anthropic, Open MetaData
- Microservices & Middleware Technologies: Microservices architectures, distributed systems, message brokers (e.g., Kafka, RabbitMQ), and API gateways
- Spec-Driven Development: OpenAPI/Swagger for API design
- Modern Engineering Tools: Lightspeed, Copilot, Github
- AI tools to automate different SDLC phases: Devin, Friday.AI
- Cloud Platforms: AWS, Azure, Google Cloud Platform, OpenShift/Kubernetes, and containerization technologies, Docker
- Database Skills: Strong understanding of relational and NoSQL databases, Oracle, PostgreSQL, MongoDB, Cassandra, Starburst

Desired Skills & Experience

Strongly prefer Banking/Financial/Payment experience

What You Will Be Doing

Architect and Design: Lead the design and architecture of high-volume, low-latency Java microservice systems and sophisticated solutions for the integration and deployment of AI/ML models.
Provide technical leadership and guidance to development teams, fostering best practices in software development, AI integration, and microservices architecture.
Ensure adherence to coding standards, security policies, and architectural guidelines, performing code reviews and promoting a culture of quality across all development efforts.
Diagnose complex technical issues across the microservice and AI/ML integration stack, providing expert support for critical production systems.
Work closely with data scientists, AI/ML engineers, front-end developers, and other stakeholders to understand requirements and deliver integrated, intelligent solutions.
Create technical documentation, including design specifications, API documentation, and operational guides for both microservices and AI/ML components.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10105282
Position Id: 872142
Posted 1 day ago

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