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Cloud Systems Engineer

I

Infotech Sourcing

Cloud Systems Engineer

San Francisco, CA
Full Time
Paid
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  • Responsibilities

    Job Title: Cloud Systems Engineer 
    Location: San Francisco, CA or Remote - US W2 Only
    Employment Type: Contract

    Primary Roles & Responsibilities:

    • Develop a deep understanding of the program’s functional capabilities, including system and derived requirements.
    • Collaborate with team leads to manage and plan requirements, ensuring alignment with epic goals.
    • Interpret and analyze system requirements, ensuring procedures meet the verification criteria for system functionality.
    • Develop, maintain, and update program architectural diagrams and documentation as required.
    • Manage system requirements to align with project objectives and timelines.

    Technical Skills & Responsibilities:

    • Java Development: Proficient in Java 21, with extensive experience in Spring, Spring Boot, and Java Persistence API (JPA).
    • Cloud Deployment: Design, develop, and deploy scalable and robust applications using Azure Kubernetes Service (AKS).
    • Test-Driven Development: Expertise in Test-Driven Development (TDD) and Functional Programming principles.
    • Databases: Proficiency in both Relational (RDBMS) and NoSQL databases for data management and application integration.
    • Version Control & Tools: Experience with GitHub, IntelliJ, Google Cloud Platform (GCP), and New Relic for version control, development, and monitoring.
    • Testing Frameworks: Strong experience with testing frameworks such as JUnit and Cucumber for continuous integration and quality assurance.

    Additional Skills:

    • Strong analytical and problem-solving skills, with the ability to troubleshoot complex system issues.
    • Excellent communication and collaboration abilities, working effectively with cross-functional teams.
    • Agile Methodology knowledge, with active participation and contribution to Agile ceremonies (e.g., sprints, stand-ups).

    Preferred Qualifications:

    • Experience with data solutions and business intelligence analytics initiatives.
    • Ability to manage and optimize workflows for scalable cloud applications.
    • Strong architectural understanding for building robust cloud infrastructure.