IT - Senior Consultant | DevOps | Continuous delivery - Environment management and provisioning

Cloudspace LLC

  • Charlotte, NC
  • 9 days ago

    Highlights

    Experience: 2-5 years of experience in DevOps, Site Reliability Engineering, or Cloud Engineering roles, or an equivalent combination of education and experience. 2+ years of experience with Google Cloud Platform (GCP) services such as GKE, Cloud Run, Cloud Functions, Cloud Build, Pub/Sub, and IAM.

    Numbers & Facts

    LocationCharlotte, NC

    Description

    Do you have a pre-identified candidate? New sourcing? Existing Subcon? - New sourcing



    Max Hourly Pay Rate to the candidate?: $75/hr



    Do you have a preferred interview schedule?: as per panelist availability.



    Would you require the candidates to meet you for an in-person interview?: No for internal interview, yes for final client interview



    Is Skype/WebEx interview OK?: yes for internal interview



    Work Location with ZIP: Charlotte, NC 28273



    Is remote work an option?: No



    If remote work, please indicate how many days are required to be in the office and remote: NA



    Chance to be perm?: Yes, for VI candidate



    Performance Expectations: ?



    Technical Hiring Criteria (Must Haves)



    Required Qualifications

    Experience:

    2-5 years of experience in DevOps, Site Reliability Engineering, or Cloud Engineering roles, or an equivalent combination of education and experience
    2+ years of hands-on experience building and maintaining CI/CD pipelines (e.g., Cloud Build, Jenkins, GitLab CI/CD, GitHub Actions, or ArgoCD)
    2+ years of experience with Google Cloud Platform (GCP) services such as GKE, Cloud Run, Cloud Functions, Cloud Build, Pub/Sub, and IAM
    Experience with Infrastructure as Code tools such as Terraform or Google Cloud Deployment Manager
    Experience with scripting languages such as Python, Bash, or Groovy
    Education:

    BA/BS in Computer Science, Information Technology, or a related field, or equivalent work experience
    Technical Skills:

    Working knowledge of containerization and orchestration technologies (Docker, Kubernetes/GKE)
    Working knowledge of source control systems (Git, GitHub, or GitLab)
    Foundational understanding of conversational AI/contact-center platforms (e.g., Google CCAI, Dialogflow CX/Conversational Agents, Kore.ai, or similar IVR/voice platforms)
    Skills:

    Understanding of software design patterns, principles, and the software development life cycle (SDLC)
    Demonstrated verbal and written communication skills
    Ability to collaborate effectively across cross-functional engineering, product, and conversational AI/NLU teams
    Abilities:

    Ability to read, write, speak, and understand English
    Ability to deal with ambiguity, uncertainty, and incomplete information when evaluating alternatives and making recommendations
    Ability to identify measures or indicators of system performance and the actions needed to improve or correct performance, relative to the goals of the system
    Ability to work seamlessly within a team as well as manage individual tasks
    Ability to write clear technical documentation for use by developers, testers, and operations
    Travel Ability:

    Office Environment
    Schedule:

    Full time
    Preferred Qualifications

    Google Cloud certification (e.g., Professional Cloud DevOps Engineer or Associate Cloud Engineer)
    Hands-on experience with Google Customer Engagement AI (CCAI) / Conversational Agents (Dialogflow CX/CXAS), including agent versioning, environments, and deployment
    Experience integrating cloud CI/CD pipelines with third-party IVR/contact-center platforms (e.g., Kore.ai) via APIs or webhooks
    Familiarity with monitoring/observability tools such as Cloud Monitoring, Datadog, or Grafana
    Experience with blue/green or canary deployment strategies for customer-facing production systems
    Knowledge of security and compliance practices for cloud-hosted customer support systems that process personally identifiable information (PII)

    Project Code: SDIT Customer Experience Tech Offshoring

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