Manideep Chittineni
Senior DevOps Engineer • Gloucester, UK • m******************@hotmail.com • +44*******764 • linkedin.com/••••• • drivetube.ai/•••••
Professional Summary
Senior Platform, Cloud & DevOps Engineer with 6+ years of experience designing, building, securing, and operating enterprise-scale cloud-native and hybrid platforms across Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), and Oracle Cloud Infrastructure (OCI). Experienced in architecting highly available, secure, and scalable infrastructure supporting mission-critical applications, global deployments, and modern data platforms using Terraform, Kubernetes, Infrastructure as Code, CI/CD automation, and DevSecOps best practices. Strong expertise in platform engineering, multi-cloud infrastructure, Kubernetes (EKS, AKS, GKE), cloud networking, identity and access management, observability, Site Reliability Engineering (SRE), and FinOps. Proven track record of improving platform reliability, developer productivity, security, and cost efficiency through reusable automation, Zero Trust architecture, policy-as-code, cloud governance, and operational excellence. Experienced in delivering Databricks and Snowflake platforms, integrating data engineering workflows with cloud infrastructure, networking, identity, and CI/CD pipelines. Formally trained in Generative AI and Agentic AI engineering through Anthropic and OpenAI programmes, with hands-on experience building LLM-powered applications, AI agents, RAG solutions, Model Context Protocol (MCP) integrations, and deploying production AI workloads on Amazon Bedrock and Google Cloud Vertex AI.
Technical Skills
Frontend Technologies: React
Mobile Technologies & Frameworks: Flutter,Firebase
Programming Language: TypeScript,JavaScript,Python,Bash
Backend Technologies: Node.js,Postman,Snowflake,Redshift,PostgreSQL,MySQL,MongoDB
Cloud Platforms: AWS,Microsoft Azure,Google Cloud Platform,AKS,GKE,IAM,KMS,Reserved Instances,Spot Instances,Databricks,Vertex AI
Identity & Endpoint Management: Microsoft Entra ID
Identity & Access Management (IAM): OIDC,RBAC,GDPR
DevOps & Infrastructure: Terraform,Terragrunt,AWS CloudFormation,AWS CDK,Docker,Kubernetes,Helm,GitHub Actions,Ansible,Chef,Puppet,Policy as Code
Skills: Google Cloud Deployment Manager,multi-tenant platform operations,Cloud Build,Sonar Cloud,API testing,Reliability Engineering,Cloud Cost Governance,Rightsizing,Autoscaling,Resource Optimization,Budgeting & Forecasting,clusters
Architecture & Design Patterns: Orchestration
Messaging & Monitoring: Datadog,Dynatrace,Grafana,Prometheus,ELK Stack,Azure Monitor,Google Cloud Monitoring
Testing & QA: Cypress,Playwright,Jest,JMeter,Load Testing
Work Experience
Procadence Technologies Limited
Brentford, UK
Software Engineer Intern
Jun 2020 – Mar 2021
- • 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, improving infrastructure consistency and reducing manual configuration effort. • Built and enhanced CI/CD pipelines using Azure DevOps with automated testing and secure deployment workflows, cutting manual release effort by 35%. • 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.
Procadence Technologies Limited
Brentford, UK
DevOps / Platform Engineer
Apr 2021 – Sep 2022
- • 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 repetitive operational tasks, improving deployment consistency, and enhancing engineering productivity across multi-tenant GCP platforms. • 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 practices, cutting operational waste and overprovisioned spend by 20%. • Performed root cause analysis on production incidents, driving preventative fixes that reduced recurring incidents quarter over quarter. • Produced technical documentation and runbooks, cutting engineer onboarding time by 50%. • Used ServiceNow for change management and incident tracking, aligning DevOps releases with organisational ITSM controls.
University of Exeter
Exeter, UK
Senior Cloud & DevOps Engineer
Oct 2022 – Dec 2025
- • 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, 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 a secured application delivery layer using CloudFront, WAF, AWS Certificate Manager, and Cognito for public-facing services and authentication. • 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 the same CI/CD pipelines as core infrastructure. • Operated data integration workloads using Glue and Redshift alongside RDS and DynamoDB for crossteam reporting. • Designed multi-account architecture using AWS Organizations and Control Tower, enforcing governance through Service Control Policies (SCPs). • Automated cloud provisioning end-to-end with Terraform, AWS CDK, and the 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, including rotation of database credentials and API keys, supporting GDPR and SOC 2 Type II compliance. • Deployed GuardDuty, Security Hub, AWS Config, and CloudTrail for continuous security monitoring, cutting incident response time by 50%. • Optimised release cycles by 40% through GitHub Actions and CodePipeline, including a self-hosted release pipeline and automated App Store/Play Store releases. • Built centralised test coverage JMeter load testing, Cypress/Playwright runners, and API health-check testing across all services. • Reduced infrastructure spends by 45% through Reserved/Spot Instances and rightsizing, using Infracost in CI/CD to surface Terraform cost impact pre-merge. • Authored all technical documentation using JSDoc and used Confluence and Jira as the central hub for documentation, sprints, and change tracking; mentored 5+ engineers.
Infoplus Technologies Limited
Borehamwood, UK
Cloud Engineer
Mar 2026 – Present
- • 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 activities across AWS and GCP, improving operational efficiency and reducing repetitive manual tasks. • 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. • Standardised pipeline delivery with reusable YAML configuration frameworks, eliminating 40% of duplicated pipeline configuration and reducing drift-related release errors. • Designed CI/CD pipelines with GitHub Actions, AWS CodePipeline, and Google Cloud Build, cutting release lead time by 50% and increasing deployment frequency. • Enforced least-privilege IAM and Zero Trust network segmentation (VPC, PrivateLink, Private Service Connect) with policy-as-code guardrails across all environments. • Ran Wiz continuously across AWS and GCP workloads for cloud security posture management, identifying misconfigurations and excessive privileges before production deployment. • 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%. • Architected and delivered agentic AI and RAG-based platform tooling using the Claude API, OpenAI APIs, and Model Context Protocol (MCP), deploying governed AI workloads on Amazon Bedrock and Google Cloud Vertex AI and reducing 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 to manage change requests and infrastructure approvals, ensuring platform changes remained auditable and compliant with ITSM processes
Education
University of the West of England
Master of Science, Major in Information Technology • Bristol, UK • Sep 2019 – Nov 2021
VNR Vignana Jyothi Institute of Technology
Bachelor of Technology in Electronics and Instrumentation Engineering • Hyderabad, India • Aug 2015 – May 2019
Certifications
Certified Solutions Architect – Associate — Amazon Web Services
Associate Cloud Engineer — Google Cloud Platform
Azure Fundamentals — Microsoft Azure
Azure AI Fundamentals — Microsoft Azure
Developer Certified Associate — Oracle Cloud Infrastructure
Cloud Operations Certified Associate — Oracle Cloud Infrastructure
Databricks Fundamentals — Databricks
Generative AI Fundamentals — Databricks
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