Professional Summary
Tanveer Alam is a Senior Software and Platform Engineer with over 11+ years of experience designing, building, and operating cloud-native platforms and distributed systems.
He has extensive experience working with startups and enterprise teams, owning systems end-to-end—from architecture and development to production rollout—across Kubernetes, cloud infrastructure, DevOps, and automation.
AI & Data-Driven Systems
Tanveer applies data-driven automation and intelligent control mechanisms across cloud and platform engineering. His work focuses on self-service infrastructure, GitOps workflows, automated provisioning, drift detection, and policy-driven governance using Kubernetes, Crossplane, and cloud APIs.
Core Expertise
Platform Engineering
Kubernetes
Cloud Computing
DevOps
GitOps
Crossplane
Golang
Python
Terraform
Azure
AWS
OpenShift
Microservices
Career Highlights
- Designed and built managed control plane platforms for Kubernetes-based customer environments
- Developed Crossplane providers and compositions for automated infrastructure and service provisioning
- Led development of multi-tenant Kubernetes platforms with RBAC, quotas, and cost optimization
- Built Environment-as-a-Service platforms enabling on-demand test environments
- Implemented GitOps-based deployment pipelines improving reliability and operational consistency
- Architected solutions across Azure, AWS, OpenShift, and on-prem environments
Experience Timeline
2024-Present
Principal Consultant – Atos (Managed Control Plane & Crossplane Platforms)
2021-2024
Platform Engineer & Team Lead – Stakater
2015-2021
Principal Software Engineer – Afour Technologies
2013-2015
Software Engineer – Infogrid Pacific
Platforms & Work Environment
Cloud-native platforms, Kubernetes control planes, Crossplane providers, GitOps pipelines, multi-tenant systems, and DevOps automation
Why trust this contributor?
Writes from deep hands-on experience building and operating real-world cloud platforms, Kubernetes infrastructure, and automation systems used in production at scale.