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Vice President Rabbitmq Jobs in Texas (NOW HIRING)

Vice President Rabbitmq information

What is the difference between Vice President Rabbitmq vs RabbitMQ Engineer?

AspectVice President RabbitmqRabbitMQ Engineer
CredentialsTypically requires advanced degrees and leadership experience in messaging systemsRequires technical certifications and hands-on experience with RabbitMQ
Work EnvironmentExecutive leadership, strategic planning, cross-department collaborationTechnical development, system configuration, troubleshooting
Industry UsageUsed in organizations for strategic messaging infrastructure managementUsed in development teams for implementing and maintaining RabbitMQ systems

The Vice President Rabbitmq focuses on strategic oversight and leadership in messaging infrastructure, while the RabbitMQ Engineer handles technical implementation and maintenance. Both roles require familiarity with RabbitMQ but differ significantly in responsibilities and experience levels.

What cities in Texas are hiring for Vice President Rabbitmq jobs? Cities in Texas with the most Vice President Rabbitmq job openings:
Solutions Architecture Analyst - Assistant Vice President

Solutions Architecture Analyst - Assistant Vice President

Citi

Irving, TX • On-site

Full-time

Re-posted 16 days ago


Job description

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Solutions Architecture Analyst - Assistant Vice President
We are seeking a Solutions Architect with a strong foundation in Java, Microservices Development, and exposure to Artificial Intelligence (AI) / Machine Learning (ML). In this role, you will contribute to the architecture, design, and development of scalable, high-performance applications, while supporting the integration of AI/ML capabilities into enterprise systems. You will collaborate with cross-functional teams and support architectural initiatives within a dynamic financial services environment
Key Responsibilities
  • Architecture & Design:
    Assist in designing scalable, high-availability Java microservices and supporting the integration of AI/ML components into enterprise applications.
  • Development & Implementation:
    Develop clean, maintainable, and efficient code for microservices, APIs, and AI-enabled features using Java and related technologies.
  • Performance Optimization:
    Monitor system performance and help identify and resolve performance bottlenecks to ensure reliability and scalability.
  • Technical Contribution:
    Collaborate with senior architects and engineers to implement best practices in microservices architecture and AI integration.
  • Code Quality & Standards:
    Follow established coding standards, security guidelines, and participate in code reviews to maintain high-quality deliverables.
  • Troubleshooting & Support:
    Support debugging and resolution of technical issues across applications, including microservices and AI integrations.
  • Collaboration:
    Work closely with developers, data scientists, and product teams to build and deliver integrated solutions.
  • Innovation & Learning:
    Stay current with emerging technologies in Java, microservices, and AI/ML; proactively suggest improvements and enhancements.
  • Documentation:
    Contribute to technical documentation, including APIs, system designs, and operational processes.

Preferred Qualifications
  • Experience:
    ~5+ years of software development experience with hands-on work in Java, microservices, and enterprise applications. Exposure to Agile methodologies and basic AI/ML concepts.
  • Technical Skills:
    • Knowledge of Java and REST APIs
  • Microservices & Systems:
    Understanding of microservices architecture, distributed systems, and messaging systems (Kafka, RabbitMQ).
  • API Development:
    Experience with API design and tools like OpenAPI/Swagger.
  • AI/ML Exposure:
    Basic understanding of AI/ML concepts and exposure to integrating models or APIs into applications.
  • Cloud & Containers:
    Familiarity with cloud platforms (AWS, Azure, or GCP), Docker, and Kubernetes basics.
  • Databases:
    Experience with relational (Oracle, PostgreSQL) and/or NoSQL databases (MongoDB, Cassandra).
  • DevOps Practices:
    Understanding of CI/CD pipelines and version control systems (e.g., GitHub).
  • Problem-Solving:
    Strong analytical and troubleshooting skills with attention to detail.
  • Communication:
    Ability to communicate technical ideas effectively with team members.

Education:
  • Bachelor's degree in Computer Science, Engineering, or related field.

Nice to Have
  • Exposure to AI/ML
  • Experience in financial services or regulated environments