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EY

Cloud Native Application Engineer – GCP

EY

Senior GCP cloud-native engineer designing microservices, container platforms and GenAI solutions. Supporting EY’s global consulting delivery through scalable application modernization.

Posted 9/10/2026full-timeBengaluru • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and developing microservices-based applications using Java and Java Spring Boot, with a strong focus on cloud-native solutions and container management across Google Cloud and Microsoft Azure. Proficient in CI/CD pipeline setup, application lifecycle management, and integrating GenAI capabilities into workflows.

Highest-signal resume keywords
Microservices DevelopmentJava Spring BootDocker and KubernetesCI/CD Pipeline SetupGoogle Cloud Certification

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
MicroservicesJavaJava Spring BootReactJSAngularVueFlutterDockerKubernetesCI/CD
Soft Skills
Analytical ThinkingProblem-SolvingCommunicationCollaboration
Tools & Technologies
ECSEKSRed Hat OpenShiftGitHub ActionsJenkinsAzure DevOps
Certifications & Qualifications
Google Cloud CertificationMicrosoft Certified: Azure Solutions Architect Expert
Industry Keywords
Microservices ArchitectureAPI-Led DesignCloud-Native SolutionsMulti-Cloud DeploymentAgentic Solutions

Tech Stack

Tools & technologies
AngularAzureCloudDockerFlutterJavaJenkinsKubernetesMicroservicesOpenShiftReactSpringSpring BootSpringBootVue.js

About the role

Key responsibilities & impact
  • Design, develop and support microservices-based applications using Java and Java Spring Boot
  • Build user-facing application components with ReactJS, Angular, Vue or Flutter
  • Apply microservices architecture principles to create scalable, resilient and independently deployable components
  • Configure and manage Docker, Kubernetes, ECS, EKS and Red Hat OpenShift container platforms
  • Build, deploy and operate workloads across the complete application and container lifecycle
  • Design reusable cloud-native solution patterns primarily for Google Cloud and adapt them for Microsoft Azure
  • Integrate GenAI capabilities with application and data workflows
  • Design and support Agentic Solutions for task orchestration, enterprise-system interaction and workflow automation
  • Set up and maintain CI/CD pipelines for builds, container images, quality checks and deployments
  • Troubleshoot application, platform and deployment issues and escalate unresolved issues
  • Document technical knowledge, deployment steps, support procedures, troubleshooting notes and runbooks
  • Contribute to peer reviews, documentation, SOPs and best practices
  • Support decision-making, process optimization and resource management
  • Allocate personnel, supervise team members, assign tasks and evaluate performance as needed
  • Collaborate with application, platform, data, AI, client, product, architecture and engineering teams

Requirements

What you’ll need
  • 5+ years of hands-on experience in microservices, application modernization and container platforms
  • Strong experience developing microservices using Java and Java Spring Boot
  • Working knowledge of ReactJS, Angular, Vue or Flutter
  • Understanding of microservices architecture, API-led design, distributed application patterns and containerized deployment
  • Hands-on experience with Docker, Kubernetes, ECS, EKS and Red Hat OpenShift
  • Strong understanding of application and container lifecycle management
  • Practical experience setting up CI/CD pipelines
  • Professional or Practitioner-level Google Cloud certification required
  • Demonstrated hands-on public cloud delivery experience
  • Awareness of multi-cloud deployment patterns and ability to adapt architectures from Google Cloud to Microsoft Azure
  • Basic to working knowledge of Microsoft Azure services
  • Working knowledge of GenAI integration patterns
  • Understanding of Agentic Solution patterns, including workflow orchestration, tool integration, task automation, human-in-the-loop controls and enterprise system connectivity
  • Ability to work across application engineering, platform engineering, data and AI teams
  • Strong analytical thinking and problem-solving ability
  • Clear communication and collaboration skills
  • Preferred: Google Cloud certifications such as Professional Cloud Architect
  • Preferred: Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
  • Preferred: Experience with GitHub Actions, Jenkins or Azure DevOps
  • Preferred: Familiarity with GitHub Copilot or similar AI-assisted development tools

Benefits

Comp & perks
  • Flexible work environment
  • Professional development opportunities
  • Opportunities to build new skills and take on leadership roles
  • Mentorship and career growth opportunities
  • Diverse and inclusive culture
  • Health and wellness packages
  • Rewards
  • Learning opportunities
  • Disability-related adjustments or accommodations during recruitment
  • Equal opportunity employment