Google Cloud Platform Infrastructure - DevOps Engineer

Hybrid in Minneapolis, MN, US • Posted 1 hour ago • Updated 1 hour ago
Contract W2
Contract Corp To Corp
Contract Independent
6 Months
No Travel Required
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • DevOps
  • GCP
  • AWS
  • contact center
  • conversational platform
  • Vertex AI

Summary

Sensiple Inc is a New Jersey corporation with over two decades of expertise in technology-driven solutions specializing in Customer Experience, Contact Center Solutions, Digital Transformation, Cloud Computing & Independent Testing.

With an expert team that has enriched experience in executing & developing sustainable IT strategies in Healthcare, Technology, Retail, Logistics, Education, Telecommunications, Government and Media, we help our diverse customers to envision the future.

By developing highly scalable and consistent solutions, our primary goal is to deliver excellence at all levels and delight our customers and drive them to a better future.

One of our client is looking for a Google Cloud Platform Infrastructure / DevOps Engineer @ Remote Please find below the details of the position.

Job Role: Google Cloud Platform Infrastructure / DevOps Engineer

Location: Remote (Hartford, CT, or Minneapolis, MN preferred )

Contract

Here is he JD:-

1.Infrastructure / DevOps Engineer
We need someone who is strong in Google Cloud Platform along with Infra / Devops.


Level Senior
Role summary
Automate provisioning, deployment, and operational readiness of customer environments on Google Cloud Platform and AWS,
including the infrastructure that runs RAG / knowledge pipelines. You make environment creation and
application promotion repeatable, secure, and observable. You do not develop the conversational applications
or the retrieval logic.
What success looks like
A new customer environment can be stood up from approved modules with minimal manual console
work.
CI/CD pipelines promote the pre-built CCAI, voice, and chat packages plus customer config in a
controlled way.
Logging, monitoring, secrets, and teardown/lifecycle processes exist for every environment, including
knowledge / RAG jobs and stores.
Key responsibilities
Implement and maintain Infrastructure-as-Code for Google Cloud Platform projects and AWS
accounts.
Automate service enablement, networking, IAM bindings, secrets, and baseline logging on both clouds.
Provision and operate infrastructure for RAG / knowledge pipelines: document stores, vector or search
indexes, embedding/index jobs, schedulers, and secrets.
Build CI/CD pipelines that deploy pre-built application artifacts, customer-specific configuration, and
knowledge-index refresh jobs.
Manage environment lifecycle: create, update, snapshot/backup where relevant, and tear down.
Implement monitoring, alerting, and dashboards sufficient for go-live
and handoff, including pipeline job failures.
Partner with the Architect to turn designs into reusable modules; partner with specialists and the Data
Engineer to wire application and RAG deploy steps.
Control cost via budgets, labels/tags, and idle-environment policy.


Required qualifications
5+ years in DevOps, SRE, or platform engineering with production IaC.
Hands-on Terraform on both Google Cloud and AWS.
CI/CD experience
Practical security operations: secrets managers, IAM, private networking, audit logging.
Google Cloud DevOps Engineer and/or AWS DevOps / SysOps certification.
Experience deploying contact-center or conversational platforms.
DevOps, Terraform, AWS CDK, Google Cloud Platform, CI/CD, Cloud Build, CodePipeline, IAM, secrets, landing zone, platform engineering,
vector database, Vertex AI, Bedrock

If you find yourself suitable for this position, kindly send your updated resume and expected hourly rate to elangovan dot t at sensiple dot com

Regards

Elangovan T | Sensiple Inc.,

elangovan dot t at sensiple dot com

555 US Highway 1 S, Ste 330 Iselin, NJ 08830

Sensiple, Inc. is an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to gender, race, colour, religion, sex, national origin, veteran or disability status.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: estarpro
  • Position Id: ELA_GCP_MN
  • Posted 1 hour ago
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