DevOps Engineer

Please find the Job Position Details;

Position: DevOps Engineer

Location: Multiple Locations (3 Days Onsite - Hybrid)

Concord, CA, Irving, TX, Phoenix, AZ, Charlotte, NC

Duration: 12 Months (with possible extension)

Pay Rate: $80-$90/hr. on W2 (Depending upon the experience)

Client Notes:-

In-dept experience with Terraform

Cloud (Azure and GCP)

AI/ML services like analog, predictive capabilities

Banking experience is preferred to know kind of rules.

Building Terraform modules on Azure side. ML workspace, AI language and talk services.

Candidate should know how to build security services in Terraform.

AI/ML knowledge should be great.

Job Description:

In this role, you will:

• Lead complex technology Cloud initiatives including those that are companywide with broad impact

• Act as a key contributor in automating the provisioning of Cloud Infrastructure using Infrastructure as a Code (IaC)

• Make decisions in developing standards and best practices for engineering and large-scale technology solutions

• Design, optimize, and document the engineering aspects of the Cloud platform

• Lead and share understanding of industry best practices and how new technologies influence the Cloud technology team to meet deliverables and drive new initiatives

• Review and analyze complex, large-scale technology solutions in Cloud for strategic business objectives and solving technical challenges that require in-depth evaluation of multiple parameters, including intangibles or unprecedented technical factors

• Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals

• Build and enable Cloud infrastructure, automate the orchestration for Google Cloud Platforms (GCP) & Microsoft Azure

• Working in a globally distributed team to provide innovative and robust Cloud centric solutions

• Closely work with Product Team and vendors to develop and deploy Cloud services to meet customer expectations

• Gather and analyze data to diagnose the root cause of Cloud issues, recommend, and implement solutions to resolve issues in timely manner

Required Qualifications:

• 5 years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

• 3 years working with Google Cloud Platform (GCP) and/or Microsoft Azure and a proven track record of building complex infrastructure programmatically with Infrastructure as Code (IaC) tools

• 2 years of hands-on experience with IaC tools Terraform and GitHub

• Knowledge and understanding of Cloud service offerings such as Compute and AI & ML on GCP and/or Azure

• Demonstrated experience on at least three of the following key services: Azure AI Foundry, Azure Machine Learning, Document Intelligence, Azure AI Search, Vertex AI, Document AI, LLMs, etc.

Desired Qualifications:

• Exposure to Cloud governance and logging/monitoring tools

• Cloud certification on GCP and/or Azure

• Experience with Agile, CI/CD, DevOps concepts, and Site Reliability Engineer (SRE) principles

• Proficient on container-based solution services, have handled 2-3 large scale Kubernetes based infrastructure build out, provisioning of services in Azure or GCP

• Experience in scripting (Shell, Python)

• Understanding of Azure cloud service offerings such as AI Foundry

• Understanding of GCP cloud service offerings such as Agentspace, NotebookLM, Agent Engine

• Understanding of Agentic AI frameworks such as ADK, A2A, MCP, LangChain, etc.

• Good understanding of networking, firewalls, load balancing concepts (IP, DNS, Guardrails, Vnets) and exposure to database, cloud security, AD, authentication methods, RBAC

• Knowledge and understanding of Cloud service offerings on Security, Data Protection and Security policy implementations

• Intermediate understanding of Cloud computing concepts like landing zone and Blueprints

• Excellent verbal, written, and interpersonal communication skills

• Ability to articulate technical solutions to both technical and business audiences

• Ability to deliver & engage with partners effectively in a multi-cultural environment by demonstrating co-ownership & accountability in a matrix structure

• Delivery focus and willingness to work in a fast-paced, enterprise environment