Cloud Automation Engineer/DevOps

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Cloud Automation Engineer/DevOps

Contract: McLean, Virginia, US

Salary Range: 60.00 - 70.00 Per Hour

Job Code: 365001

End Date: 2025-10-17

Days Left: 28 days, 4 hours left

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Position details :

Client: Financial Servcies

Duration: 3 Month (Contract to Hire)

Title: Senior Cloud Infrastructure Engineer

Location: Remote- Virginia

Pay Range:$60-$70

Looking for Financial/Banking Domain!

Position Overview:

The Senior Cloud Experience Engineer/DevOps will be a key member of the CTS Shared Services team, responsible for enabling seamless cloud adoption and integrating Generative AI capabilities. The role emphasizes infrastructure abstraction, automation, and scaffolding to deliver optimized cloud environments for developers and business teams.

Must Have:

AWS Cloud engineering is required, some AI/ML technologies-set up and knowledge, operation and engineering scripting, Python development.

Key Objectives

Drive value from infrastructure abstraction and simplification layers, automation, and scaffolding.

Ensure templates, pipelines, and automation patterns are created and maintained.

Collaborate with security, networking, platform, and vendor partners for aligned strategies.

Responsibilities

Design and implement scalable cloud solutions that simplify and automate infrastructure.

Build and maintain templates, CI/CD pipelines, and infrastructure-as-code (IaC) patterns.

Partner with cross-functional teams (security, networking, platform, developers) to ensure strategy alignment.

Monitor and optimize AWS infrastructure for performance and cost efficiency.

Integrate Generative AI/ML capabilities into cloud services and solutions.

Stay updated on emerging cloud and AI/ML technologies to continuously refine cloud adoption strategies.

Required Qualifications

Proven AWS Cloud Engineering experience (design, build, deploy, operate).

Strong knowledge of Infrastructure as Code (IaC) (Terraform, CloudFormation).

Proficiency in Python scripting / development for automation.

Exposure to AI/ML technologies (setup, operations, integration).

Excellent communication and stakeholder management skills.

Preferred:

Experience with cloud security practices, cloud-native networking, and DevOps tooling.

Prior work in financial services or enterprise environments.

Note: The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, (paid time, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, paid holidays annually - AS Applicable)

Job Requirement

AWS

EC2

S3

Lambda

CloudFormation

Terraform

EKS

Infrastructure as Code

Python

Generative AI

DevOps

Cloud Security Reach Out to a Recruiter

Recruiter

Email

Phone

Sudhir Swami