{"id":2604701,"url":"https://alion.io/job/ey-devsecops-and-ai-engineer-senior","title":"DevSecOps and AI Engineer-SENIOR","company":{"id":2859,"name":"EY","domain":"ey.com","url":"https://alion.io/company/ey-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":25000,"max_usd":54000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":29},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EKS","optional":false},{"name":"Amazon 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Security","optional":false},{"name":"Snyk","optional":false},{"name":"SonarQube","optional":false},{"name":"SQL","optional":false},{"name":"Syft","optional":false},{"name":"Terraform","optional":false},{"name":"Triton Inference Server","optional":false},{"name":"Trivy","optional":false},{"name":"TruffleHog","optional":false},{"name":"Vertex AI","optional":false},{"name":"Weaviate","optional":false},{"name":"Ray","optional":true}],"status":"live","first_seen_at":"2026-10-15T02:00:00Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-15T18:03:19Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"At EY, we’re all in to shape your future with confidence.\nWe’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.\nJoin EY and help to build a better working world.\nDevSecOps & AI Engineer\nJob Description\nBuild and maintain secure CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, Azure DevOps, and CircleCI for application, data, and AI workloads.\nIntegrate DevSecOps practices into pipelines using Snyk, SonarQube, Checkmarx, Trivy, Anchore, and OWASP tools for continuous security scanning.\nImplement shift-left security with secret scanning (GitLeaks, TruffleHog), SBOM automation (Syft, CycloneDX), and dependency management (Dependabot, Renovate).\nWork with containerization (Docker/Podman) and Kubernetes (EKS, AKS, GKE) including Helm/Kustomize for deployments and secure image pipelines.\nDevelop and automate MLOps workflows using MLflow, Kubeflow, Azure ML, SageMaker, or Vertex AI for model training, packaging, and deployment.\nBuild and maintain RAG/AI integration pipelines using LangChain, LlamaIndex, Semantic Kernel, and vector databases like Pinecone, Weaviate, or FAISS.\nImplement AI inference systems using Seldon Core, KServe, BentoML, Ray Serve, or Triton Inference Server for scalable model serving.\nAutomate ETL/ELT and data feature pipelines using Airflow, Prefect, Dagster, dbt, or Kafka/Kinesis for AI model data feeds.\nWork with IaC tools such as Terraform, Pulumi, CloudFormation, or Azure Bicep to provision cloud and AI infrastructure.\nImplement event-driven architectures using serverless functions (AWS Lambda, Azure Functions, Cloud Functions) and messaging systems like Kafka or RabbitMQ.\nMaintain monitoring and logging using Prometheus, Grafana, ELK/Loki, OpenTelemetry, Jaeger, Datadog, or New Relic for both app and ML workloads.\nHandle model & data observability using tools like Evidently AI, Arize AI, WhyLabs, or Fiddler for drift, bias, and performance tracking.\nSecure cloud environments using IAM best practices (AWS IAM, Azure AD/Entra ID, GCP IAM), workload identities, and least-privilege controls.\nSupport configuration management using Ansible, Chef, or SaltStack for environment consistency and automation.\nDevelop scripts in Python, Bash, or SQL for automation, data processing, validation, and orchestration of ML workflows.\nImplement API integrations for AI systems using REST, gRPC, or GraphQL for model consumption and downstream applications.\nUse GitOps tools like Argo CD or Flux for automated, secure Kubernetes deployments and progressive delivery.\nApply AI security practices including guardrails, prompt protection, model validation, and safe inference techniques using industry tools.\nEnsure compliance with data governance, privacy, and security standards including GDPR, CCPA, and cloud security best practices.\nCollaborate with data engineers, ML engineers, DevOps teams, and security teams, contributing to documentation, reviews, and mentoring juniors.\nDesired Profile\nLooking for a DevSecOps & AI Engineer with 4-7 years of hands-on experience in cloud, DevOps, and AI/ML workflows.\nStrong skills in Terraform, Kubernetes, Helm, Docker, and CI/CD (GitHub Actions, GitLab CI, Jenkins, Azure DevOps).\nProficient in Python and scripting (Bash/PowerShell) with good automation mindset.\nExperience implementing DevSecOps practices-SAST/DAST, container scanning, secrets scanning, SBOM, and policy-as-code.\nExposure to MLOps/AI integration using MLflow, Kubeflow, SageMaker, Azure ML, KServe, or Seldon.\nFamiliar with cloud (AWS/Azure/GCP), configuration management (Ansible/Puppet), and GitOps tools (Argo CD/Flux).\nStrong communication, troubleshooting, and collaboration skills with ability to work cross-functionally.\nExperience\n4 to 7 years\nEducation\nB.Tech. / BS in Computer Science\nTechnical Skills & Certifications\nTerraform, Pulumi, and Infrastructure as Code (IaC)\nKubernetes (EKS/AKS/GKE), Docker/Podman, Helm, Kustomize\nCI/CD tools: GitHub Actions, GitLab CI, Jenkins, Azure DevOps\nCloud platforms: AWS, Azure, GCP\nPython, Bash, PowerShell scripting\nDevSecOps tools: Snyk, SonarQube, Trivy, Checkmarx, GitLeaks, TruffleHog\nPolicy-as-code (OPA/Gatekeeper, Kyverno) and SBOM tools (Syft, CycloneDX)\nMLOps tools: MLflow, Kubeflow, SageMaker, Azure ML, Vertex AI\nModel serving frameworks: KServe, Seldon Core, BentoML, Ray Serve\nVector DBs & RAG stack: Pinecone, Weaviate, FAISS, Chroma, LangChain, LlamaIndex\nMonitoring & observability: Prometheus, Grafana, ELK/Loki, OpenTelemetry, Jaeger\nConfiguration management: Ansible, Puppet\nGitOps: Argo CD, Flux\nServerless: AWS Lambda, Azure Functions, Google Cloud Functions.\nEY | Building a better working world\nEY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.\nEnabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.\nEY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. 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