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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and optimizing cloud-based platforms and applications, with a strong focus on AWS services, CI/CD practices, and containerization technologies. Proficient in troubleshooting cloud infrastructure and ensuring operational excellence while collaborating with cross-functional teams.
Highest-signal resume keywords
Cloud EngineeringAWS ServicesCI/CD Pipeline DevelopmentKubernetesPython Automation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Cloud EngineeringInfrastructure ManagementAWSPythonCI/CDKubernetesCloud DatabasesDistributed SystemsContainerized ApplicationsDevOps
Soft Skills
Strong CommunicationRelationship-BuildingFacilitationNegotiationPresentation
Tools & Technologies
AWS LambdaDockerGitGitHubAzureGCPAI Pipelines
Certifications & Qualifications
AWS CertificationKubernetes Certification
Industry Keywords
Cloud OperationsOperational ResilienceData PrivacyEthical AIScrumAgile
Tech Stack
Tools & technologiesAngularAWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformJavaKubernetesPythonTypeScript
About the role
Key responsibilities & impact- Design, develop, and optimize cloud-based platforms, applications, and infrastructure solutions
- Leverage AWS services, EKS/Kubernetes, AWS Lambda, cloud databases, and modern CI/CD practices
- Architect and support scalable, secure, and highly available cloud solutions
- Drive continuous improvements in developer experience and platform reliability
- Troubleshoot cloud infrastructure, Kubernetes environments, networking, security, and performance issues
- Solve complex technical challenges and lead technical initiatives independently
- Support developer communities by resolving pain points and enabling operational excellence
- Stay updated on emerging technologies and AI research
- Implement CI/CD pipelines for model deployment and scaling
- Use Docker, Kubernetes, and Git to build and manage AI pipelines
- Collaborate with software engineering and operations teams to integrate and deploy AI models
- Translate business requirements into technical solutions
- Work with stakeholders and senior executives within EY and at client organizations
Requirements
What you’ll need- Minimum 5 years of experience in cloud engineering, infrastructure management, and cloud operations
- 5+ years of experience in Cloud Engineering, DevOps, Infrastructure Operations, or Platform Engineering
- Strong hands-on experience with AWS and Python-based automation
- Experience building and maintaining CI/CD pipelines
- Strong troubleshooting skills across cloud infrastructure, networking, security, and performance
- Experience with cloud databases, distributed systems, and containerized applications
- Understanding of cloud governance, cost optimization, and operational resilience
- Bachelor's degree in Computer Science, IT, Engineering, or related field
- Bachelor's degree (B.E./B.Tech in Computer Science/IT) or equivalent experience
- Hands-on expertise with GitHub, AWS Services, cloud-based databases, CI/CD, pipeline development, cloud platform development, and cloud-based application development
- Proficiency in Python, Angular, Java, and TypeScript
- Hands-on experience with Kubernetes and AWS Lambda
- Experience with Azure, AWS, or GCP and deploying AI solutions in a cloud environment
- Knowledge of trusted AI practices, including fairness, transparency, and accountability
- Understanding of data privacy, security, and ethical considerations in AI applications
- AWS and/or Kubernetes certifications preferred
- Familiarity with DevOps and MLOps practices
- Scrum/Agile methodology experience
- Strong verbal and written communication, facilitation, relationship-building, presentation, and negotiation skills
- Ability to work independently and collaborate with stakeholders and engineering/operations teams
Benefits
Comp & perks- Competitive remuneration package
- Flexible working support
- Career development support
- FlexEY benefits selection covering holidays, health and well-being, insurance, savings, discounts, offers and promotions
- Support, coaching and feedback from engaging colleagues
- Opportunities to develop new skills and progress your career
- Freedom and flexibility to handle the role in a way that’s right for you
