Shubhangee Mishra

Worked on ValueDiscovery, an independently deployable product under AI Next, contributing to secure, scalable infrastructure and automation.

• Built CI/CD pipelines from scratch using GitHub Actions and Jenkins, streamlining deployment workflows and improving release velocity.
• Designed and optimized multistage Docker files, using rich RHEL base images for development and minimal images for production; managed diverse stacks (Node, npm, Python) for microservices across dev, staging, and production environments.
• Automated Kubernetes deployments (pods, statefulsets, services, replicasets, HPA) using Helm charts, with advanced orchestration via init containers and sysctl tuning, ensuring scalable, resilient, and secure infrastructure.
• Implemented persistent storage using PVCs and NFS, supporting stateful workloads across environments.
• Improved system observability by integrating Elasticsearch (pre-transition) and OpenSearch with Kibana; led upgrades and dashboard enhancements for real-time monitoring.
• Performed security scans using Black Duck, Checkmarx, and Twistlock across source code, base images, and final deliverables.
• Maintained secure, traceable builds by managing final image SHA digests and embedding automated security checks into CI/CD pipelines.