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๐Ÿš€ Writing magic, one line at a time. Testing so future me doesnโ€™t hate me!
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๐Ÿš€ Writing magic, one line at a time. Testing so future me doesnโ€™t hate me!

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mchittineni/README.md


โšก Executive Summary

โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚  Senior Platform, Cloud & DevOps Engineer with 6+ years of experience architecting,         โ”‚
โ”‚  securing, and operating enterprise platforms across AWS, Azure, GCP, and OCI.              โ”‚
โ”‚                                                                                             โ”‚
โ”‚  Specialized in multi-cloud platform engineering, Kubernetes (EKS/AKS/GKE), Terraform,      โ”‚
โ”‚  Databricks, Snowflake, DevSecOps, SRE, FinOps, and production Agentic AI & GenAI systems.  โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜

๐ŸŽฏ Core Expertise: Reusable Infrastructure as Code (25+ Terraform modules), managed Kubernetes at 99.99% uptime, zero-trust IAM governance, automated CI/CD delivery, cloud cost governance (45% spend reduction), and production Agentic AI / Model Context Protocol (MCP) integration on Amazon Bedrock and Google Cloud Vertex AI.



๐Ÿ’ก Key Specializations

โ˜๏ธ Platform & Multi-Cloud Infrastructure

  • Architecting enterprise cloud ecosystems across AWS, Azure, GCP, and OCI.
  • Advanced modular Terraform, Terragrunt, Pulumi, AWS CDK & ARM templates.
  • Managed Kubernetes clusters (EKS, AKS, GKE) with autoscaling & 99.99% uptime.
  • Multi-account governance via AWS Control Tower, Organizations & SCPs.

๐Ÿ“Š Data Platforms & Workflows

  • Designing & governing Databricks on AWS & GCP (Unity Catalog, cluster policies, job orchestration).
  • Integrating Snowflake & Redshift data pipelines with cloud networking & identity.
  • Automating multi-cloud data engineering environments (3 days โ†’ <2 hours).
  • Python & Bash automation tooling for cloud operations & deployment workflows.

๐Ÿค– GenAI, Agentic AI & LLMOps

  • Formally trained in Anthropic & OpenAI AI engineering certification tracks.
  • Building LLM apps, AI agents, subagents, and Model Context Protocol (MCP) tools.
  • Deploying governed AI workloads on Amazon Bedrock & Google Cloud Vertex AI.
  • Extending IaC, CI/CD, IAM, and FinOps controls to production AI deployments.

๐Ÿ›ก๏ธ DevSecOps, SRE & FinOps

  • Zero Trust network segmentation, federated IAM (SSO, OIDC, RBAC/ABAC), & KMS encryption.
  • Continuous security monitoring via Wiz CSPM, GuardDuty, Security Hub, Checkov & tfsec.
  • Automated keyless CI/CD via Workload Identity Federation (WIF) eliminating 100% long-lived keys.
  • FinOps cost governance (RIs, Spot, rightsizing, Infracost) cutting cloud spend by 25%โ€“45%.


๐Ÿ™‹ About Me

name: Manideep Chittineni
role: Senior Platform, Cloud & DevOps Engineer
experience: 6+ years across AWS, Azure, GCP, OCI
current_focus:
  - Enterprise multi-cloud data platforms (Databricks, Snowflake, GKE, AWS/GCP)
  - Modular IaC frameworks (25+ reusable Terraform modules) & Python automation
  - Production Agentic AI, RAG & MCP integrations on Bedrock & Vertex AI
cloud_platforms: [AWS, Azure, GCP, OCI]
technologies: [Kubernetes, Terraform, GitHub Actions, Databricks, Snowflake, Claude API, OpenAI, MCP, Wiz]
philosophy: Deep platform engineering + AI fluency = scalable, secure, governed, cost-aware AI systems


๐Ÿค– AI & GenAI Engineering Stack

๐Ÿง  LLM Application Development
Claude API, Claude Code & OpenAI APIs; prompt engineering, tool/function calling, structured outputs, evaluation & RAG patterns
๐Ÿ•น๏ธ Agentic AI & Autonomous Workflows
Agents, subagents & agent skills; multi-step agentic workflows & orchestration; reliable tool-using systems
๐Ÿ”Œ Model Context Protocol (MCP)
MCP foundations & advanced topics; building/integrating custom MCP servers & clients connecting LLMs with enterprise data
โ˜๏ธ Enterprise LLMOps
Claude on Amazon Bedrock & GCP Vertex AI reusing platform IaC, CI/CD, IAM security, and FinOps cost guardrails


๐Ÿงฐ Technical Skills Matrix

โ˜๏ธ Cloud Platforms Cloud Oracle Cloud
๐Ÿค– AI & GenAI Claude API Claude Code OpenAI MCP Amazon Bedrock Vertex AI RAG
๐Ÿšข Containers & K8s Containers Helm
โš™๏ธ Infrastructure as Code Terraform Terragrunt Pulumi AWS CDK CloudFormation ARM Templates
๐Ÿ” CI/CD & Automation CI/CD Azure DevOps CodePipeline
๐Ÿ“ˆ Observability & SRE Observability Datadog Dynatrace
๐Ÿ›ก๏ธ Security & DevSecOps Zero Trust Wiz Checkov tfsec KMS Compliance
๐Ÿ—„๏ธ Data Platforms Databricks Unity Catalog Snowflake Redshift Databases
๐Ÿ’ป Languages & Web Languages


๐Ÿ’ผ Career History & Impact

โ˜๏ธ Cloud Engineer

Infoplus Technologies Limited ยท Borehamwood, UK
๐Ÿ“… Mar 2026 โ€“ Present
  • โšก Databricks platform infra across AWS & GCP cutting provisioning time 3 days โ†’ <2 hours.
  • ๐Ÿงฉ Modular Terraform framework (25+ reusable modules) w/ remote state cutting drift by 70%.
  • ๐Ÿšข Managed GKE hosting Snowflake & Databricks services at 99.9% availability; autoscaling cut idle compute by 25%.
  • ๐Ÿค– Agentic AI & RAG platform tooling (Claude API, OpenAI, MCP) on Bedrock & Vertex AI cutting toil by 30%.
  • ๐Ÿ›ก๏ธ Continuous Wiz CSPM, Zero Trust network policy guardrails, KMS secrets, & FinOps spend reduction by 25%.

๐ŸŽ“ Senior Cloud & DevOps Engineer

University of Exeter ยท Exeter, UK
๐Ÿ“… Oct 2022 โ€“ Dec 2025
  • ๐ŸŽฏ Enterprise hybrid & AWS platforms supporting 50,000+ users at 99.99% uptime.
  • โšก Serverless architectures (Lambda, API Gateway, EventBridge) + multi-account AWS Control Tower & SCPs.
  • ๐Ÿ’ป Full-stack internal tools (React & Flutter + TypeScript/Firebase) deployed via unified CI/CD pipelines.
  • ๐Ÿ”’ Zero Trust IAM (Cognito & Entra ID federated SSO/OIDC/RBAC/ABAC) & GuardDuty/Security Hub (incidents โˆ’50%).
  • ๐Ÿ’ฐ FinOps (RIs, Spot, rightsizing, Infracost) cutting cloud spend by 45%; mentored 5+ engineers.

๐Ÿ› ๏ธ DevOps / Platform Engineer

Procadence Technologies Limited ยท Brentford, UK
๐Ÿ“… Apr 2021 โ€“ Sep 2022
  • ๐Ÿš€ GKE clusters running 200+ microservices for 15+ teams at 99.9% uptime; utilization +30%.
  • ๐Ÿงฉ Reusable Terraform IaC for IAM & policy governance cutting drift & manual effort by 60%.
  • ๐Ÿ”‘ Keyless CI/CD via Workload Identity Federation (WIF) eliminating 100% of long-lived SA keys.
  • ๐Ÿ›ก๏ธ Multi-tenant K8s isolation & Identity-Aware Proxy (IAP) with zero cross-tenant incidents.

๐Ÿ‘จโ€๐Ÿ’ป Software Engineer Intern

Procadence Technologies Limited ยท Brentford, UK
๐Ÿ“… Jun 2020 โ€“ Mar 2021
  • โš™๏ธ Automated Azure provisioning (ARM templates) across 150+ subscriptions (effort โˆ’45%).
  • ๐Ÿ“ฆ Azure DevOps CI/CD with automated testing & secure deployment workflows (effort โˆ’35%).
  • ๐Ÿ” Azure Key Vault integration + Microsoft Entra ID RBAC hierarchies & Conditional Access policies.
  • ๐Ÿ“Š Azure Monitor & App Insights integration for SLA validation + 20+ technical runbooks.


๐Ÿ“ฆ Featured Architecture Projects

Terraform
Multi-Cloud Terraform IaC
25+ reusable modules ยท AWS & GCP ยท remote state ยท Checkov & tfsec
Kubernetes
Managed GKE Platform
Snowflake & Databricks ยท 99.9% uptime ยท โˆ’25% compute waste
Databricks
Databricks Data Platform
Unity Catalog ยท workspace policies ยท job orchestration
MCP
Agentic AI & MCP Tooling
Claude API ยท OpenAI ยท MCP ยท Bedrock + Vertex AI


๐ŸŽฎ Community Tic-Tac-Toe

Live community tic-tac-toe board



Play now

One shared board, open to everyone. Make your move, then check back to see who answered.



๐Ÿ“Š GitHub Analytics & Activity

GitHub Stats Streak Stats

Top Languages

Contribution Snake


๐Ÿ—“๏ธ Coding Insights & Metrics

๐Ÿ“… Contribution Calendar ๐ŸŒŸ Activity Overview
Full-year contribution calendar Full metrics dashboard


๐ŸŽ“ Verifiable Certifications & Training

โ˜๏ธ Cloud, Infrastructure & Data

๐Ÿค– AI & Generative AI

๐ŸŸข AWS Demonstrated Credentials: Agentic AI ยท Application Networking ยท Data Lakehouse ยท Data Streaming ยท Data Visualization ยท Incident Response ยท Serverless



๐Ÿš€ Thanks for visiting โ€” let's build scalable, secure, governed, cost-aware systems!
Senior Platform Engineering ยท Multi-Cloud ยท DevOps ยท GenAI & Agentic AI ยท SRE ยท FinOps ยท DevSecOps

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