Satyaki Koley

Led infrastructure automation, AI-powered analytics integration, and large-scale Kubernetes operations for critical engineering platforms. Specialized in On prem Kubernetes management, CI/CD pipeline optimization, cloud-native automation, and AI/ML-driven insights.

Key Responsibilities & Achievements:

• Bare-Metal Kubernetes & Infrastructure Management:
  Administered multi-node Kubernetes clusters, adding nodes, configuring networking, and resolving scheduling bottlenecks for microservices.
  Managed VM lifecycle activities (commissioning, decommissioning, migration) across global data centers (BGL, RTP, FUL) including PXE-to-DCAS-11 migration and U32-to-BGL11 data center transition.
  Deployed load balancers for RKE2 control nodes to enhance request handling and fault tolerance.
• CI/CD, Automation & DevOps:
  Built and maintained complex Dockerfiles (CentOS → Rocky Linux upgrade, PyATS custom images, Cypress integration) optimizing builds and dependencies.
  Automated release workflows and performed numerous hotfix/full releases for CIM applications.
  Created and maintained Kubernetes manifests, Ansible playbooks, and Terraform configurations for infrastructure provisioning and configuration management.
  Developed custom monitoring alerts in Prometheus/Grafana to track infrastructure health, storage (OpenEBS), and application metrics.
• Scripting & Process Optimization:
  Wrote Python and shell scripts for operational automation (e.g., log rotation, credential updates, SSL certificate renewal).
  Designed troubleshooting scripts for MongoDB performance issues, Selenium container quota enforcement, and network-related debugging.
• AI/ML Contribution – AI-Powered Tableau Dashboard Analysis Bot: Designed and deployed a conversational AI bot integrated with Webex Teams using Python, Flask, Azure OpenAI, and Redis clustering.
  Implemented LLM-based function calling with specialized tools to dynamically analyze pipeline performance, defect tracking, and quality metrics.
  Achieved 95% accuracy in intent classification, enabling natural language-driven Tableau insights, and reducing manual data retrieval time by 80%.
• Cross-Team Collaboration & Support:
  Assisted engineering teams with infrastructure debugging, container access, and CI failures.
  Led Bitbucket-to-GitHub migration for TBAAS, including repo restructuring, pipeline updates, and documentation.

Tech Stack: Kubernetes (Bare Metal), Docker, CI/CD (Jenkins, GitHub Actions), Terraform, Ansible, Python, Shell, Azure OpenAI, Tableau REST API, Prometheus, Grafana, Redis, Webex Teams API, MongoDB.

• Implemented CI/CD Pipelines using Gitlab. Deployment in Kubernetes.
• Knowledge of automation/configuration using Ansible.
• Complete Monitoring and alerting mechanism using Prometheus, Grafana, PagerDuty.
• Work with business and product owners to establish key performance metrics.
• BASH shell scripting on Linux/Ubuntu environment with AWS CLI.
• Good understanding of Web Application Deployment and maintain of Apache, IIS on AWS.
• Hands on testing and releasing with Gitlab, Jenkins.
• Provisioning infrastructure using Terraform scripts, ansible etc.

• Handson experience in AWS (EC2, S3, EBS, ELB, ALB, IAM, Cloud Watch etc).
• Monitoring and diagnosis of systems for optimal performance.
• Identifying, gathering, analyzing and automating responses to key performance metrics, logs, and alerts.
• Knowledge of automation/configuration using Ansible roles.
• Using Terraform for manage Infrastructure.

• Scripting (Bash/Python).
• Systems administration, configuration, troubleshooting and monitoring.
• Jenkins for Deployment Pipeline.

• Assist in the Development Priority List process working with Product Management group to address issue identified as part of Problem Management.
• Production support/enhancement request.
• Identifying, gathering, analysing and automating responses to key performance metrics, logs.