About Ahmed
With 5+ years in Cloud, DevOps, and Platform Engineering, building production infrastructure on Azure, AWS, and GCP. I also design and deploy AI-powered systems into production cloud environments.
My work spans fintech, enterprise SaaS, e-commerce, supply chain, logistics, and AI-powered products. I build platforms that let engineering teams deploy faster, recover quicker, and spend less, while also deploying AI systems that actually run reliably at scale.
English
Native or bilingual
Urdu
Native or bilingual
Can work on-site
Manchester (up to 50km)
Experience
- Reachwise AIPlatform EngineerSeptember 2025 - April 2026 (7 months)Northampton, UKDesigned and operationalised a secure architecture for an AI SaaS platform, standardising environment isolation, release governance, and developer workflows to deliver secure customer updates with high reliability.• • Defined platform architecture and environment strategy (dev/QA/prod) with isolated AWS accounts, codifying reusable CloudFormation templates to make tenant-ready environments consistent and repeatable across deployments.• • Built end-to-end delivery pipeline from requirements to production: gated build/test/scan stages, approval-driven promotion, and blue/green releases. Enforced GitFlow with protected branches and PR controls.• • Implemented security and data-privacy guardrails by default: SSO with least-privilege access, private networking controls, secrets management via AWS Secrets Manager, and encryption standards for enterprise compliance.• • Instrumented end-to-end telemetry (metrics, logs, traces) with actionable alerting, and optimised API and data-access paths using async queries and caching patterns to improve response times.
- TkxelCloudDevOps EngineerJuly 2024 - August 2025 (1 year and 1 month)Lahore, Punjab, PakistanDrove DevOps excellence across Azure cloud infrastructure, CI/CD, observability, and security. Collaborated with development teams to deliver scalable, cost-efficient solutions supporting business growth and product innovation.• • Reduced deployment lead time from hours to under 30 minutes and increased release cadence from weekly to near-daily by orchestrating CI/CD for 35+ Azure App Services using Azure Pipelines with integrated code scanning.• • Cut Azure infrastructure costs by £5K–£10K per month through resource optimisation and right-sizing, while strengthening security posture with Microsoft Defender for Cloud and governance policies.• • Engineered application isolation and network privatisation using VNets, gateways, and security groups, implementing zero-trust architecture with GDPR-compliant frameworks to prevent unauthorised resource access.• • Reduced MTTR from over 2 hours to under 45 minutes by instrumenting production observability using Azure Log Analytics and Application Insights with real-time alerts and self-healing mechanisms.• • Standardised GitOps workflows and branching strategies in Azure Repos, cutting test cycle duration from multiple hours to under an hour and improving release consistency across dev/staging environments.
- Datics AIDevOps EngineerAugust 2022 - June 2024 (1 year and 10 months)Lahore, Punjab, PakistanSpearheaded cloud infrastructure and automation initiatives across cross-functional teams, focusing on CI/CD pipelines, cloud optimisation, and delivering scalable solutions for high-impact applications.• • Reduced deployment times from approximately 3 hours to under 45 minutes across 8 projects by identifying infrastructure bottlenecks and automating workflows, freeing engineers to focus on development over operations.• • Achieved 99.9% system uptime and saved $10K annually by migrating 2 major applications to the cloud and switching to reserved instances for cost-optimised resource management.• • Provisioned AWS and Azure infrastructure using Terraform and ARM templates, enabling consistent multi-environment setups across 5 projects with repeatable, version-controlled deployments.• • Orchestrated CI/CD pipelines in Azure DevOps and GitHub Actions, delivering 100+ monthly deployments acrossenterprise-scale systems with minimal manual intervention.• • Containerised applications with Docker and automated repetitive infrastructure tasks using Ansible, reducing manual provisioning effort and accelerating environment setup.
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Education
- MSc Computing ( Internet Technology & Security )University of Northampton2025
- BS Computer ScienceUniversity of Management and Technology2022
Certifications
- Microsoft Certified: DevOps Engineer ExpertMicrosoft2022
- Microsoft Certified: Azure Solutions Architect ExpertMicrosoft2023