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Enterprise Architect with Java and AWS
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Ref No.: |
23-00915 |
Location: |
Iselin, New Jersey
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Position Type: | Contract |
Responsibilities
- Set and maintain the strategic direction and roadmap for various technologies and solutions.
- Work closely with architects, product owners and domain experts to build the reference architectures.
- Oversee implementation/adaptation to ensure adherence to architectural standards.
- Core Responsibilities:
- Define the strategy and technology roadmaps for multiple product families and domains.
- Creating recommendation trees for the usage of architectures like Microservices, Domain Driven Designs, Event-Based Architectures, Serverless, and More..
- Creating recommendation trees for the usage of technologies like Kong, Kafka, SNS, SQS, Dynamo DB, Aurora DB, S3, Redshift, Glue, ECS, Lambda, Splunk, CloudWatch, and More..
- Leading Architecture boards to review, govern solutions/technologies.
- Assists in defining the current state of applications, identify gaps to meet divisional/organizational requirements/goals, and developing a strategy to bridge the gap.
- Creating application and platform standards, guidelines, best practices, and governance. Monitors implementation activity to ensure architecture and design principles are upheld.
- Identifying cross-cutting concerns and creating Design patters/Shared Libraries.
- Teaming with other IT departments to explore new technologies and their rollouts.
- Assist in building out exemplars/POCs.
- Mentor/Train senior developers/technical leads and foster development of others.
Qualifications
- Minimum of eight years related work experience, with at least three years of technology architect experience.
- Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.
- Strong knowledge and application of micro-service design principles and best practices: distributed systems, bounded contexts, service-to-service integration patterns, resiliency.
- Experience with AWS services such as ECS, EKS, DynamoDB, Aurora, S3, SNS, and SQS
- Expert experience with Confluent Kafka with hands-on production experience and a deep understanding of the Kafka architecture in an added advantage.
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