DevSecOps and AI Engineer-SENIOR
INR 2000K-4000K (estimate) Senior-level Full Time
Tasks
- Apply AI security guardrails
- Apply configuration management
- Automate ETL and ELT pipelines
- Automate SBOM generation
- Automate workflows with scripts
- Build RAG integration pipelines
- Build secure CI/CD pipelines
- Deploy and secure containers and Kubernetes
- Develop and automate MLOps workflows
- Implement API integrations
- Implement event-driven architectures
- Implement model inference and serving
- Implement shift left security controls
- Integrate DevSecOps security scanning
- Manage GitOps deployments
- Manage secrets scanning and dependency updates
- Provision cloud and AI infrastructure using IaC
- Secure cloud access with IAM
- Set up monitoring and logging
- Track model and data observability
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Lambda | Amazon SageMaker | Ansible | Argo CD | Azure | Azure DevOps | Azure Functions | Azure Machine Learning | Bash | BentoML | CI/CD | Checkmarx | Chroma | Cloud Functions | CycloneDX | Docker | Docker Podman | Elasticsearch | Faiss | Flux | GitHub Actions | GitLab CI | Gitleaks | Google Cloud | Google Cloud Functions | Grafana | Helm | Infrastructure as Code | Jaeger | Jenkins | KServe | Kafka | Kubeflow | Kubernetes | Kyverno | Langchain | Llamaindex | MLflow | Machine Learning | Open Policy Agent | OpenTelemetry | Pinecone | Podman | Policy Agent | Policy-as-Code | Powershell | Prometheus | Python | RabbitMQ | Ray Serve | Seldon Core | Snyk | SonarQube | Syft | Terraform | Trivy | Trufflehog | Vector Database | Vertex AI | Weaviate | “as-code”
Education
Roles
AI | AI Engineer | DevSecOps | DevSecOps Engineer | Engineer
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