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EY

DevSecOps and AI Engineer

EY

DevSecOps and AI Engineer building secure cloud, Kubernetes, and MLOps infrastructure at EY. Supporting clients through technology, consulting, assurance, and transformation services.

Posted 9/4/2026full-timeBengaluru • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in building and maintaining secure CI/CD pipelines, integrating DevSecOps practices, and automating MLOps workflows. Proficient in cloud infrastructure provisioning and implementing scalable AI systems while ensuring compliance with data governance and security standards.

Highest-signal resume keywords
CI/CD Pipeline DevelopmentDevSecOps ImplementationMLOps Workflow AutomationKubernetes DeploymentCloud Infrastructure Provisioning

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
TerraformKubernetesPythonBashCI/CD ToolsDevSecOps PracticesMLOpsContainerizationAPI IntegrationInfrastructure-as-Code
Soft Skills
CommunicationTroubleshootingCollaboration
Tools & Technologies
GitHub ActionsGitLab CIJenkinsAzure DevOpsAWSAzureGCPAnsiblePuppetArgo CD
Certifications & Qualifications
B.Tech.BS in Computer Science
Industry Keywords
DevSecOpsMLOpsData GovernanceGDPRCCPAMonitoringObservabilityConfiguration ManagementServerless TechnologiesVector Databases

Tech Stack

Tools & technologies
AnsibleAWSAzureCloudDockerETLFluxGoogle Cloud PlatformGraphQLGRPCJenkinsKubernetesPuppetPythonSQLTerraform

About the role

Key responsibilities & impact
  • Build and maintain secure CI/CD pipelines for application, data, and AI workloads
  • Integrate DevSecOps practices with continuous security scanning
  • Implement shift-left security, secret scanning, SBOM automation, and dependency management
  • Deploy containerized workloads on Kubernetes using Helm/Kustomize and secure image pipelines
  • Develop and automate MLOps workflows for model training, packaging, and deployment
  • Build and maintain RAG/AI integration pipelines with vector databases
  • Implement scalable AI inference and model-serving systems
  • Automate ETL/ELT and data feature pipelines for AI model data feeds
  • Provision cloud and AI infrastructure using infrastructure-as-code tools
  • Implement event-driven architectures with serverless functions and messaging systems
  • Maintain monitoring, logging, and model/data observability for application and ML workloads
  • Secure cloud environments using IAM, workload identities, and least-privilege controls
  • Support configuration management and environment automation
  • Develop Python, Bash, or SQL scripts for automation, data processing, validation, and ML workflow orchestration
  • Implement REST, gRPC, or GraphQL API integrations for AI systems
  • Use GitOps tools for secure Kubernetes deployments and progressive delivery
  • Apply AI security practices including guardrails, prompt protection, model validation, and safe inference
  • Ensure compliance with data governance, privacy, GDPR, CCPA, and cloud security standards
  • Collaborate with data engineering, ML engineering, DevOps, and security teams; contribute to documentation, reviews, and mentoring

Requirements

What you’ll need
  • 4–7 years of hands-on experience in cloud, DevOps, and AI/ML workflows
  • Strong skills in Terraform, Kubernetes, Helm, Docker, and CI/CD tools including GitHub Actions, GitLab CI, Jenkins, and Azure DevOps
  • Proficiency in Python and scripting with Bash/PowerShell
  • Experience implementing DevSecOps practices including SAST/DAST, container scanning, secrets scanning, SBOM, and policy-as-code
  • Exposure to MLOps/AI integration using MLflow, Kubeflow, SageMaker, Azure ML, KServe, or Seldon
  • Familiarity with AWS, Azure, or GCP; Ansible/Puppet; and Argo CD/Flux
  • Strong communication, troubleshooting, and collaboration skills
  • B.Tech. / BS in Computer Science
  • Knowledge of Terraform, Pulumi, Kubernetes, Docker/Podman, Helm, Kustomize, CI/CD, AWS/Azure/GCP, Python, Bash, PowerShell, DevSecOps tools, policy-as-code, SBOM, MLOps, model serving, vector databases, RAG, monitoring, observability, configuration management, GitOps, and serverless technologies

Benefits

Comp & perks
  • 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account EY Website LinkedIn All Job Openings 10,000+ employees Founded 1989 🏥 Healthcare ⚖️ Legal 📣 Marketing Healthcare
  • Legal
  • Marketing EY is a global professional services firm, widely recognized for providing audit, tax, consulting, and advisory services. It focuses on helping its clients solve complex problems and transform their businesses using data and technology. EY is committed to building a better working world by enhancing trust in financial markets and economies globally. Its services include corporate finance advisory, transaction strategy, technology consulting, and more, catering to sectors such as health, energy, finance, government, and more. EY also emphasizes sustainability and innovation in its solutions. DevSecOps and AI Engineer 🔥 33 minutes ago 🏢 Bengaluru – Onsite ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer 👻 Ghost score 13% Ansible AWS Azure Cloud Docker ETL Flux Google Cloud Platform GraphQL GRPC Jenkins Kubernetes Puppet Python SQL Terraform Apply Now Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
  • Build and maintain secure CI/CD pipelines for application, data, and AI workloads
  • Integrate DevSecOps practices with continuous security scanning
  • Implement shift-left security, secret scanning, SBOM automation, and dependency management
  • Deploy containerized workloads on Kubernetes using Helm/Kustomize and secure image pipelines
  • Develop and automate MLOps workflows for model training, packaging, and deployment
  • Build and maintain RAG/AI integration pipelines with vector databases
  • Implement scalable AI inference and model-serving systems
  • Automate ETL/ELT and data feature pipelines for AI model data feeds
  • Provision cloud and AI infrastructure using infrastructure-as-code tools
  • Implement event-driven architectures with serverless functions and messaging systems
  • Maintain monitoring, logging, and model/data observability for application and ML workloads
  • Secure cloud environments using IAM, workload identities, and least-privilege controls
  • Support configuration management and environment automation
  • Develop Python, Bash, or SQL scripts for automation, data processing, validation, and ML workflow orchestration
  • Implement REST, gRPC, or GraphQL API integrations for AI systems
  • Use GitOps tools for secure Kubernetes deployments and progressive delivery
  • Apply AI security practices including guardrails, prompt protection, model validation, and safe inference
  • Ensure compliance with data governance, privacy, GDPR, CCPA, and cloud security standards
  • Collaborate with data engineering, ML engineering, DevOps, and security teams; contribute to documentation, reviews, and mentoring 🎯 Requirements
  • 4–7 years of hands-on experience in cloud, DevOps, and AI/ML workflows
  • Strong skills in Terraform, Kubernetes, Helm, Docker, and CI/CD tools including GitHub Actions, GitLab CI, Jenkins, and Azure DevOps
  • Proficiency in Python and scripting with Bash/PowerShell
  • Experience implementing DevSecOps practices including SAST/DAST, container scanning, secrets scanning, SBOM, and policy-as-code
  • Exposure to MLOps/AI integration using MLflow, Kubeflow, SageMaker, Azure ML, KServe, or Seldon
  • Familiarity with AWS, Azure, or GCP; Ansible/Puppet; and Argo CD/Flux
  • Strong communication, troubleshooting, and collaboration skills
  • B.Tech. / BS in Computer Science
  • Knowledge of Terraform, Pulumi, Kubernetes, Docker/Podman, Helm, Kustomize, CI/CD, AWS/Azure/GCP, Python, Bash, PowerShell, DevSecOps tools, policy-as-code, SBOM, MLOps, model serving, vector databases, RAG, monitoring, observability, configuration management, GitOps, and serverless technologies Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs AI Engineer 🕒 August 26 dentsu Austria 51 - 200 📣 Marketing 📱 Media 🏢 Enterprise Website LinkedIn All Job Openings AI Engineer building GenAI agents for Dentsu's Pipes digital marketing platform. Integrating ad APIs, prompts, automated evaluations, and React user experiences. 🏢 Bengaluru – Onsite ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer Cloud JavaScript React .NET Engineering Lead – AI & Automation Products 🕒 August 18 dentsu Austria 51 - 200 📣 Marketing 📱 Media 🏢 Enterprise Website LinkedIn All Job Openings Engineering Lead building AI automation products for dentsu’s Merkle brand in Bengaluru. Leading architecture, delivery, developer teams, and full-stack AI application development. 🏢 Bengaluru – Onsite ⏰ Full Time 🟠 Senior 🤖 AI Engineer Azure Postgres Python React Vault AI Architect 🕒 July 27 dentsu Austria 51 - 200 📣 Marketing 📱 Media 🏢 Enterprise Website LinkedIn All Job Openings Technical anchor for Dentsu's AI engineering team leading architecture for multi-agent systems. Overseeing engineering standards and mentoring engineers in a hands-on leadership role. 🏢 Bengaluru – Onsite ⏰ Full Time 🟠 Senior 🔴 Lead 🤖 AI Engineer Azure Cloud Distributed Systems Python Senior Engineer – AI Platform 🕒 July 24 Barclays 10,000+ employees 🏦 Banking 💸 Finance Website LinkedIn All Job Openings Senior Engineer designing and developing software solutions for AI platform at Barclays. Collaborating with teams and utilizing engineering methodologies for excellent performance. 🏢 Bengaluru – Onsite ⏰ Full Time 🟠 Senior 🤖 AI Engineer AWS Java Python Go Data Management AI Lead 🕒 March 30 Novo Nordisk 10,000+ employees 🏥 Healthcare 💼 Consulting 🍽️ Food & Beverage Website LinkedIn All Job Openings Data Management & AI Lead shaping enterprise-wide patient data and AI capabilities for global healthcare leader. Enabling scalable solutions and driving responsible AI adoption across platforms. 🏢 Bengaluru – Onsite ⏰ Full Time 🟠 Senior 🤖 AI Engineer AWS Azure Cloud Google Cloud Platform View More AI Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Remote jobs Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources About us Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Is Remote Rocketship legit? Privacy policy Terms of service Job board SEO course Remote Job Search MasterClass Resume Review AI Apply Copilot OpenClaw job finder API docs Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs