Veracity Software Inc

Systems Operations Engineer 3 (Production Support)

Dallas, TX, US

3 days ago
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Summary

Job Title: Systems Operations Engineer 3 (Production Support)

Duration: 24 Months

Location: Raleigh, NC / Charlotte, NC / Dallas, TX (Hybrid Role – 3 Days Onsite/2 Days WFH)

Job Descriptions

In this contingent resource assignment, you may: Consult on or participate in moderately complex initiatives and deliverables within Systems Operations Engineering and contribute to large-scale planning related to Systems Operations Engineering deliverables.

Review and analyze moderately complex Systems Operations Engineering challenges that require an in-depth evaluation of variable factors.

Contribute to the resolution of moderately complex issues and consult with others to meet Systems Operations Engineering deliverables while leveraging solid understanding of the function, policies, procedures, and compliance requirements.

Collaborate with client personnel in Systems Operations Engineering.

Required Qualifications

4+ years of Systems Engineering or Technology Architecture experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.

Look for Production BAU support resources who have supported MongoDBs and know how to read Python code.

Production support experience in high availability environments with flows using Generative Artificial Intelligence, Large Language Models, Model Risks, and Prompt Engineering.

Mongo DB

Python/Machine Learning

Screening Questions – Explain in detail for below questions.

Full Name

Degree Major with University and Completion year?

Total experience as an Systems Operations Engineer 3 (Production Support):

Total experience with Production BAU support resources who have supported MongoDBs and know how to read Python code?

Total experience Production support experience in high availability environments with flows using Generative Artificial Intelligence, Large Language Models, Model Risks, and Prompt Engineering.?

Total experience Mongo DB?

Total experience Python/Machine Learning?

Do you have any experience in Banking / Financial Industry?

Contact Number

E mail Id:

LinkedIn Id

Full Address (Street, City, States, Zip Code Required)

Notice period: (in weeks):

Current Work Authorization Status

Expected Hourly Rate on W2?

Are you ready to relocate on your own experience and work at Raleigh, NC / Charlotte, NC / Dallas, TX (Hybrid Role – 3 Days Onsite/2 Days WFH) / Commute?

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