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EY

DevSecOps and AI Engineer - Senior

5w

EY

Pune, IN · Full-time · INR 2,500,000 – INR 4,000,000

About this role

At EY, shape your future with confidence in a globally connected powerhouse of diverse teams. Build and maintain secure CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, Azure DevOps, and CircleCI for application, data, and AI workloads.

Integrate DevSecOps practices into pipelines with Snyk, SonarQube, and OWASP tools for continuous security scanning. Implement shift-left security with secret scanning, SBOM automation, and dependency management while working with containerization and Kubernetes including Helm and Kustomize.

Develop and automate MLOps workflows using MLflow, Kubeflow, Azure ML, SageMaker, or Vertex AI. Build RAG/AI integration pipelines with LangChain, LlamaIndex, and vector databases while implementing AI inference systems for scalable model serving and data feature pipelines.

Collaborate with data engineers, ML engineers, DevOps teams, and security teams while contributing to documentation, reviews, and mentoring juniors. Join EY and help to build a better working world with career growth wherever you want it to go.

Requirements

  • Strong skills in Terraform, Kubernetes, Helm, Docker, and CI/CD (GitHub Actions, GitLab CI, Jenkins, Azure DevOps).
  • Hands-on experience with containerization (Docker/Podman) and Kubernetes (EKS, AKS, GKE) including Helm/Kustomize.
  • Experience developing and automating MLOps workflows using MLflow, Kubeflow, Azure ML, SageMaker, or Vertex AI.
  • Experience building RAG/AI integration pipelines using LangChain, LlamaIndex, Semantic Kernel, and vector databases.
  • Proficiency with IaC tools such as Terraform, Pulumi, CloudFormation, or Azure Bicep.
  • Scripting skills in Python, Bash, or SQL for automation, data processing, validation, and orchestration of ML workflows.

Responsibilities

  • Build and maintain secure CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, Azure DevOps, and CircleCI for application, data, and AI workloads.
  • Integrate DevSecOps practices into pipelines using Snyk, SonarQube, Checkmarx, Trivy, Anchore, and OWASP tools for continuous security scanning.
  • Implement shift-left security with secret scanning, SBOM automation, and dependency management for secure image pipelines.
  • Develop and automate MLOps workflows using MLflow, Kubeflow, Azure ML, SageMaker, or Vertex AI for model training, packaging, and deployment.
  • Build and maintain RAG/AI integration pipelines using LangChain, LlamaIndex, Semantic Kernel, and vector databases.
  • Implement AI inference systems using Seldon Core, KServe, BentoML, Ray Serve, or Triton Inference Server for scalable model serving.
  • Work with IaC tools such as Terraform, Pulumi, CloudFormation, or Azure Bicep to provision cloud and AI infrastructure.
  • Maintain monitoring and logging using Prometheus, Grafana, ELK/Loki, OpenTelemetry, Jaeger, Datadog, or New Relic for both app and ML workloads.

Benefits

  • Shape your future with confidence in a globally connected powerhouse of diverse teams.
  • Take your career wherever you want it to go.
  • Help to build a better working world.