IN-Specialist 2_AWS Cloud Engineer(DevOps& AI/ML) _OneCloud_Advisory_Pune
IN-Specialist 2_AWS Cloud Engineer(DevOps& AI/ML) _OneCloud_Advisory_Pune
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Job Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
OperationsManagement Level
SpecialistJob Description & Summary
At PwC our people in business application consulting specialise in consulting services for a variety of business applications helping clients optimise operational efficiency. These individuals analyse client needs implement software solutions and provide training and support for seamless integration and utilisation of business applications enabling clients to achieve their strategic objectives.As a business application consulting generalist at PwC you will provide consulting services for a wide range of business applications. You will leverage a broad understanding of various software solutions to assist clients in optimising operational efficiency through analysis implementation training and support.
*Why PWC
At PwC we believe in providing equal employment opportunities without any discrimination on the grounds of gender ethnic background age disability marital status sexual orientation pregnancy gender identity or expression religion or other beliefs perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firms growth. To enable this we have zero tolerance for any discrimination and harassment based on the above considerations.
Job Description & Summary: We are looking for an **AWS Cloud Engineer** with DevOps expertise and hands-on experience supporting AI/ML workloads. You will design automate and manage AWS infrastructure implement DevOps best practices and enable scalable AI/ML solutions.
Responsibilities:
Design deploy and manage AWS cloud infrastructure. Build and maintain CI/CD pipelines (Jenkins CodePipeline etc.). Use Infrastructure as Code (Terraform CloudFormation). Containerize and orchestrate applications (Docker Kubernetes/EKS). Support and optimize AI/ML workloads (SageMaker Bedrock). Collaborate with data scientists on MLOps and model deployment. Ensure security monitoring and cost optimization.
Mandatory skill sets:
AWS services (EC2 S3 Lambda SageMaker EKS Fargate API gateway) - CI/CD Jenkins Git automation scripting (Python/Bash) - IaC: Terraform CloudFormation - Containers: Docker Kubernetes/EKS - AI/ML: SageMaker MLOps tools - Security: IAM encryption - Monitoring: CloudWatch Prometheus
Preferred skill sets:
AWS certifications experience with AI/ML pipelines and strong communication skills.
Years of experience required:
1-4 Years of experience
Education qualification:
Graduate Engineer or Management Graduate
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required: Master Degree Bachelor DegreeDegrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
AWS DevopsOptional Skills
Accepting Feedback Accepting Feedback Active Listening Analytical Reasoning Application Software Business Data Analytics Business Management Business Technology Business Transformation Communication Documentation Development Emotional Regulation Empathy Implementation Research Implementation Support Implementing Technology Inclusion Intellectual Curiosity Optimism Performance Assessment Performance Management Software Problem Solving Product Management Product Operations Project Delivery 11 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship
Government Clearance Required
Job Posting End Date
Required Experience:
Unclear Seniority
Employment Type
Full-Time
