Senior Platform, Cloud & DevOps Engineer
Hi, I'm Manideep Chittineni
Senior Platform, Cloud & DevOps Engineer with 6+ years of experience architecting, securing, and operating enterprise cloud platforms across AWS, Azure, GCP, and OCI specializing in Kubernetes, Terraform, Databricks, Snowflake, DevSecOps, and production Agentic AI & GenAI engineering.
- 6+
- Years Experience
- 4
- Clouds Mastered
- 99.99%
- Uptime Delivered
- 45%
- Cost Reduction
What I work with
Technical Skills
A toolbox spanning multi-cloud platforms, infrastructure-as-code, the full DevOps lifecycle, and production GenAI engineering.
UI Frameworks
Cloud Platforms
Identity
Containers
Infrastructure as Code
CI/CD
Automation
Observability
DevSecOps
Service Management
Data Platforms
GenAI Engineering
Databases
Proficiency
Verified
Certifications
AWS Certified Solutions Architect – Associate
Google Cloud Platform Associate Cloud Engineer
Microsoft Azure Fundamentals – AZ-900
OCI Developer – Certified Associate
OCI Cloud Operations – Certified Associate
HashiCorp Certified: Terraform Associate
Databricks Fundamentals
AWS Certified AI Practitioner
Microsoft Azure AI Fundamentals – AI-900
Databricks Generative AI Fundamentals
AWS Agentic AI Demonstrated
AWS Application Networking Demonstrated
AWS Incident Response Demonstrated
AWS Serverless Demonstrated
AWS Data Visualization Demonstrated
AWS Data Streaming Demonstrated
AWS Data Lakehouse Demonstrated
Anthropic Programmes: Claude & Claude Code Fundamentals · Building Applications with the Claude API · Claude on Amazon Bedrock · Google Cloud Vertex AI · Model Context Protocol (MCP) · AI Agents, Subagents & Agent Skills · AI Capabilities & Limitations · AI Fluency Frameworks
OpenAI Programmes: Agents and Workflows · AI Foundations · Applied AI Foundations
Career so far
Work Experience
Building, securing, and optimizing cloud platforms across AWS, Azure, and GCP, now extending into production GenAI engineering.
Cloud Engineer
Infoplus Technologies Limited
<2 hrs
Platform Provisioning
70%
Drift Reduction
30%
Toil Reduction (GenAI)
Multi-Cloud Data Platforms & Kubernetes (AWS + GCP)
- Designed and delivered cloud-native infrastructure across AWS and GCP for a Databricks data platform, cutting environment provisioning time from 3 days to under 2 hours across a multi-region global rollout.
- Built a modular Terraform framework of 25+ reusable modules with remote state management across AWS and GCP, validated with tfsec and Checkov, cutting configuration drift by 70%.
- Engineered Python-based automation frameworks and tooling to automate cloud operations, infrastructure validation, deployment workflows, and platform maintenance across AWS and GCP.
- Provisioned and operated managed Kubernetes clusters on GCP hosting Snowflake and Databricks services, sustaining 99.9% availability while autoscaling cut idle compute by 25%.
- Built and governed Databricks on AWS and GCP workspaces, cluster policies, Unity Catalog, and job orchestration, bringing all data engineering workloads under centralised governance.
- Partnered with data engineers and platform teams to integrate Snowflake and Databricks pipelines, aligning networking and identity to remove cross-team blockers.
CI/CD, DevSecOps, Observability & FinOps
- Standardised pipeline delivery with reusable YAML configuration frameworks across GitHub Actions, AWS CodePipeline, and Google Cloud Build, cutting release lead time by 50% and eliminating 40% of duplicated configurations.
- Enforced least-privilege IAM and Zero Trust network segmentation (VPC, PrivateLink, Private Service Connect) with policy-as-code guardrails; ran Wiz continuously across AWS and GCP for CSPM.
- Managed AWS Secrets Manager, Google Secret Manager, and KMS for encryption and credential governance, supporting GDPR and SOC 2 compliance.
- Embedded observability using CloudWatch, Google Cloud Monitoring, Prometheus, and Grafana, reducing mean time to detect (MTTD) by 40%.
- Drove FinOps governance across EKS, GKE, and Databricks compute through autoscaling and rightsizing, lowering monthly cloud spend by 25%.
AI Engineering & LLMOps
- Architected and delivered agentic AI and RAG-based platform tooling using Claude API, OpenAI APIs, and Model Context Protocol (MCP), deploying governed AI workloads on Amazon Bedrock and Google Cloud Vertex AI to reduce manual operational effort by 30%.
- Applied LLMOps practices by extending existing IaC, CI/CD, IAM, and FinOps controls to AI deployments, introducing production AI capabilities with zero new security findings.
- Used ServiceNow for change management and infrastructure approvals, ensuring platform changes remained auditable and compliant with ITSM processes.
Senior Cloud & DevOps Engineer
University of Exeter
50,000+
Users Supported
99.99%
Platform Uptime
45%
Spend Reduction
AWS Architecture & Internal Tooling
- Acted as senior cloud engineer and architectural advisor across enterprise-scale hybrid and AWS environments supporting 50,000+ users, achieving 99.99% uptime.
- Architected containerised and serverless compute across ECS, EKS, Lambda, and Step Functions, with S3, RDS, DynamoDB, Glue, and Redshift as the core data layer.
- Designed event-driven serverless architectures using API Gateway, SNS/SQS, SES, and EventBridge for secure, scalable integrations; delivered secured app delivery via CloudFront, WAF, ACM, and Cognito.
- Built and shipped full-stack internal tooling React and Flutter front ends backed by TypeScript services and Firebase (auth, hosting, real-time data) deployed through unified CI/CD pipelines.
- Designed multi-account architecture using AWS Organizations and Control Tower, enforcing governance through Service Control Policies (SCPs).
DevSecOps, Automation & SRE
- Automated cloud provisioning end-to-end with Terraform, AWS CDK, and AWS SDK, validated with tfsec and Checkov before every deployment.
- Designed Zero Trust, least-privilege IAM architecture across serverless and containerised workloads, with federated identity (SSO/OIDC/RBAC/ABAC) via Cognito and Microsoft Entra ID.
- Automated credential lifecycle management with Secrets Manager and KMS; deployed GuardDuty, Security Hub, AWS Config, and CloudTrail, cutting incident response time by 50%.
- Optimised release cycles by 40% through GitHub Actions and CodePipeline (including automated App Store/Play Store releases); built testing with JMeter, Cypress/Playwright, and API health checks.
- Reduced infrastructure spend by 45% through Reserved/Spot Instances, rightsizing, and Infracost CI/CD pre-merge checks; authored technical documentation with JSDoc and mentored 5+ engineers.
DevOps / Platform Engineer
Procadence Technologies Limited
200+
Microservices
99.9%
GKE Uptime
100%
Keyless WIF CI/CD
GCP Platform Engineering & Automation
- Advised 15+ development teams on secure, multi-tenant cloud-native and hybrid architecture on Google Cloud Platform.
- Designed and operated GKE clusters supporting 200+ microservices, improving resource utilisation by 30% while maintaining 99.9% uptime.
- Built reusable Terraform modules for IAM and policy-as-code governance, validated with tfsec and Checkov, cutting configuration drift and provisioning effort by 60%.
- Built Python automation tooling to integrate with cloud APIs, Kubernetes workflows, and infrastructure processes, automating operational tasks and boosting productivity.
Zero Trust Security & Operations
- Built CI/CD pipelines with Jenkins and Cloud Build and implemented keyless CI/CD via Workload Identity Federation, eliminating 100% of long-lived service-account keys.
- Re-architected IAM to least-privilege RBAC/ABAC with workload identity, removing all long-lived credentials across serverless and containerised workloads.
- Enforced multi-tenant isolation using Kubernetes namespaces, RBAC, and IAM Conditions, and deployed Zero Trust access via Identity-Aware Proxy (IAP) with zero cross-tenant incidents.
- Implemented monitoring, autoscaling, and capacity planning (cutting waste by 20%), performed root cause analysis on incidents, authored runbooks (cutting onboarding by 50%), and used ServiceNow for ITSM controls.
Software Engineer Intern
Procadence Technologies Limited
150+
Azure Subscriptions
45%
Effort Reduction
35%
Release Automation
Azure Automation & CI/CD
- Automated Azure infrastructure provisioning using ARM templates across 150+ subscriptions, reducing manual configuration effort by 45%.
- Created PowerShell automation scripts to assist Azure resource management, deployment validation, and operational workflows.
- Built and enhanced CI/CD pipelines using Azure DevOps with automated testing and secure deployment workflows, cutting manual release effort by 35%.
Identity & Compliance
- Integrated Azure Key Vault into deployment pipelines and Kubernetes workloads, removing hard-coded secrets and centralising certificate/encryption-key management.
- Administered Microsoft Entra ID RBAC hierarchies and service principals across 150+ subscriptions, enforcing Zero Trust standards via Azure Policy and Conditional Access (MFA, device compliance).
- Integrated Azure Monitor and Application Insights for SLA validation, and authored 20+ runbooks and technical standards that cut onboarding time.
Featured Work & Repositories
Featured Projects
End-to-end cloud platforms, multi-cloud IaC frameworks, autonomous AI agents, and high-performance geospatial web applications.
Kubernetes & IaC
Multi-Cloud Terraform IaC
25+ reusable modules · AWS & GCP · remote state · Checkov & tfsec validation
Platform Engineering
Managed GKE Platform
Snowflake & Databricks · 99.9% uptime · −25% compute waste
Data Governance
Databricks Data Platform
Unity Catalog · workspace policies · automated job orchestration
GenAI Engineering
Agentic AI & MCP Tooling
Claude API · OpenAI · Model Context Protocol (MCP) · Bedrock + Vertex AI
A next-generation real estate and property discovery portal for Andhra Pradesh and Telangana. Verified listings, interactive geospatial maps, state-modular SRO property sale histories, guidance value estimation and CAGR market analytics, deployed on an AWS Terraform reference architecture.
Python46.3%HCL20.4%JavaScript11.6%TeX11.1%HTML4.3%CSS2.7%Open Policy Agent1.8%
A self-updating GitHub dashboard. Discovers every repository you own, then renders stars, CI status, commit cadence, activity and language mix straight into README.md on a schedule — no server, just a GitHub Actions job and the GitHub API.
Python93.5%Shell6.5%
Interactive maps & search for Indian villages. Administrative hierarchies (LGD data) integrated with live market prices, farm schemes & soil profiles, covering Hindi, Telugu, Tamil, Kannada and Urdu.
JavaScript60.3%Python31.8%HTML4.1%CSS3.7%
Turn any Terraform plan into an interactive cloud architecture diagram for AWS, Google Cloud and Azure. Ships as a CLI, a browser viewer and an npm library, with a Homebrew tap for one-command install.
JavaScript89.8%Python5%CSS4.9%
An open framework and empirical benchmark for evaluating Infrastructure-as-Code security gates. 48 admissible cases across 26 vulnerable and 22 compliant configurations, exercising 22 of 26 canonical controls against static analysis tools, policy engines and secret detection suites. Every published figure is regenerated from recorded scanner output, and the work is archived with a Zenodo DOI.
Python50.9%HCL28.1%TeX16.1%Open Policy Agent2.4%Makefile1.2%Shell0.7%
Interactive map of river discharge across the UK, built entirely from Environment Agency open data. No API keys, no accounts, no server and no runtime API calls — a scheduled job is the backend, and MapLibre GL renders the result as a fully static site.
JavaScript46.8%Python42.2%CSS7.4%HTML3.6%
A production-shaped AWS platform built entirely as code: EKS across three availability zones, GitOps delivery, an enforced account security baseline, and three environments that differ only in variables.
HCL98%Makefile2%
A scheduled analysis pipeline for Indian mutual funds: pulls NAV history, computes rolling returns, risk and drawdown metrics, and publishes the tracker as a static dashboard.
Python98.3%Jupyter Notebook1.7%
40+ eval-gated agent skills for Cloud, Platform, SRE, Security and FinOps work. Every skill is gated by its own eval suite and stays portable across Claude Code, Antigravity/Gemini, Codex, Cursor and Copilot.
Python92.2%Makefile4.4%Shell3.4%
136 platform engineering interview questions across 20 topics — Kubernetes, GitOps, Backstage, Crossplane, multi-tenancy, policy-as-code, FinOps and the three major clouds. Each question pairs a short spoken answer with the underlying detail, a worked example and interview tips, plus a derived knowledge graph of the concepts they share.
Python100%
A GitHub Action that analyses a pull request against a cross-repo dependency graph and comments which downstream repositories it affects, so reviewers see the real blast radius of a change before merge.
TypeScript91%JavaScript9%
Scans an organisation’s repositories and builds the cross-repo dependency graph for npm, Docker and Terraform artifacts that Blast Radius Check consumes.
TypeScript94.2%JavaScript5.8%
100+ AI, GenAI, LLM, Agentic AI, Forward Deployed Engineer, AI Systems Architect, Applied AI, LLMOps and AI platform interview questions across 10 topics — short answer, detail, worked example and interview tips for each.
Python100%
500+ DevOps, SRE, security, cloud and platform engineering interview questions across 40 topics, organised into role tracks from junior DevOps through DevSecOps, SecOps, SRE and the three major clouds. Every answer pairs a short spoken response with the underlying detail and trade-offs, a runnable example, and the follow-up questions to expect.
Python100%
Autonomous job-application agent for remote DevOps/Platform contracts. Each run it scrapes the configured boards, has Gemini score every new listing against your profile, and for strong matches generates a tailored resume (PDF) and cover letter grounded in your Obsidian vault, then either emails the application or leaves a ready-to-send draft. Every application is logged back into the vault as a note.
Python97.7%Shell2.3%
An AI-powered, cloud-native web application that visualizes live sports activity across the world in real time through an interactive map interface.
HTML43.2%TypeScript41.6%HCL12.1%Shell1.5%Batchfile1%JavaScript0.5%
Complete Infrastructure as Code (IaC) solution for deploying a production-ready Amazon EKS cluster with Terraform. Demonstrates DevOps best practices for managing AWS Kubernetes infrastructure including networking, compute, database, and monitoring in a unified, modular manner.
HCL90.2%Shell9.8%
Reusable and modular Terraform scripts for validating Terraform IaC configurations, security policies, compliance enforcement, and automated drift detection.
HCL100%
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