Integration Architect

  • Posted 20 hours ago | Updated 20 hours ago

Overview

Remote
Depends on Experience
Contract - W2
Contract - 12 Month(s)

Skills

Integration
Architect
Kafka
SAFE
API

Job Details

Job Details
Integration Architect
Remote
Long Term Contract

Job Description
Integration Architect
1.Experience designing REST APIs that facilitate a strong developer experience or simplify systems integration.
2.Significant experience with systems integration.
3.Experience with the design and development of complex systems; employs a disciplined and rigorous approach
4.Adept at requirements analysis, estimation, systems and application design, and testing
5.Familiarity with popular Design Patterns.
6.Excellent collaboration, influencing, and consensus-building skills. Ability to work with persons in all job functions (e.g. product, program, developers, Salesforce COE).
7.Excellent verbal and written communications
8.Ability to manage multiple competing priorities with minimal supervision. Self-directed
9.A great team player, with demonstrable experience delivering superior software products via Agile methodologies
10.Experience on an Agile team
11.Experience with modern languages, frameworks, and technologies such as Java, JavaScript, Node.js, messaging queuing infrastructures, as well as cloud and on-premise infrastructure and services 12. Experience with distributed computing architectures, including race conditions, parallelism, and concurrency control

Desired Skills
1.Familiar with the IBM Technology stack-API API Platform, IIB Orchestration layer, extreme scale - or similar technology stack for integration design
2Familiar with a data streaming technology such as Kafka
3.A proven track record working as part of a team on large architectural projects
4Experience with SAFE Software Development Principles
5.Experience with distributed caching solutions; understands the factors that enable effective caching
6.Meeting facilitation
7.Exposure to CI/CD and DevOps
8.Experience with RDBMS and/or NoSQL databases. Understands the benefits and trade-offs of both. Familiar with normalization and denormalization, sharding, and other data-centric patterns

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