DevOps & Platform Engineer with 3+ years of experience designing, automating, and operating cloud infrastructure across AWS, Azure, and GCP. Proven track record delivering CI/CD pipelines, container platforms, and Infrastructure as Code in enterprise environments spanning financial services and healthcare technology. Passionate about building resilient, production ready cloud systems that balance speed, security, and operational excellence.
- 🏢 Currently: DevOps Engineer — Cloud Native AI SaaS on AWS EKS
- 🏦 Previously: Azure DevOps Engineer — Major UK Banking Transformation
- 🏥 Previously: DevOps Engineer — Medical Technology, Regulated Healthcare
- 📍 Based in Glasgow, Scotland, UK
- 🎓 MSc Computer Science — University of Hertfordshire, UK
- 💼 Open to DevOps / Platform Engineering / SRE roles (UK & Remote)
Cloud Native AI SaaS Platform on AWS EKS
| Achievement | Impact |
|---|---|
| Architected production AWS EKS platform (multi-AZ, ALB ingress, HPA) | 99.9% uptime maintained |
| Optimised CI/CD pipelines with SonarQube & Semgrep security scanning | 45% reduction in release lead time |
| Rationalised CloudWatch alerting with severity tiers | 85 alerts/week → 11 actionable alerts |
| Improved incident mean time to acknowledge | 22 min → 4 min MTTA |
| IAM least-privilege + CloudTrail + Config compliance | Critical security audit resolved in 9 days |
| Instance rightsizing, S3 lifecycle policies, zombie resource cleanup | 10% AWS cost reduction |
Large-Scale UK Banking Migration — On-Premise to Microsoft Azure
| Achievement | Impact |
|---|---|
| Standardised CI/CD pipelines across 6 delivery teams (YAML templates) | 30% reduction in deployment failures |
| AKS VMSS auto-scaling agents + shared Docker layer caching | 140 min → 12 min pipeline queue time |
| Migrated Service Connections to Workload Identity Federation (OIDC) | Zero auth-related pipeline incidents over 9 months |
| Rebuilt monitoring — Azure Monitor & Log Analytics | 340 alerts → 142 actionable signals (+40% faster response) |
| Resolved Azure Service Bus DLQ backlog | 4,847 failed transactions recovered with schema governance |
| Developer environment automation (Databricks, AKS, SQL, Data Factory) | 26% faster developer onboarding |
Medical Technology Platforms — Regulated Healthcare Environment
- Built and maintained CI/CD pipelines (Jenkins, Azure DevOps) for oncology platform components
- Provisioned cloud infrastructure on AWS & Azure using Terraform and CloudFormation
- Containerised application components using Docker + Kubernetes (Helm)
- Developed Ansible playbooks for server configuration and environment automation
- Implemented CloudWatch monitoring for proactive incident detection
- Administered Linux (Ubuntu) systems — patching, performance monitoring, deployment support
|
Jan 2025 – Present @ Tech Nxt Gen
Full AWS production platform built from scratch with Terraform. Multi-AZ VPC, EKS with ALB ingress, HPA auto-scaling, IAM IRSA per workload. GitOps via ArgoCD with Helm chart versioning and canary rollout. End-to-end GitHub Actions pipeline with SonarQube + Semgrep security scanning. Stack: AWS EKS · Terraform · GitHub Actions · ArgoCD · Helm · SonarQube · CloudWatch · IAM |
May 2023 – Nov 2024 @ PwC UK
Standardised CI/CD framework across 6 delivery teams. Replaced static 12-agent pool with Terraform-managed Azure VMSS (4 idle → 40 peak) and shared Docker layer caching. Migrated all Service Connections to Workload Identity Federation. Queue time: 140 min → 12 min. Stack: Azure DevOps · Terraform · VMSS · AKS · GitHub Actions · OIDC/WIF |
|
Jan 2026 – Present · Personal Project
Full insurance backend on GCP from scratch. VPC with layered subnets, default-deny firewall, Cloud NAT, Cloud Run REST API → private Cloud SQL via VPC Access Connector, all secrets injected from Secret Manager at runtime. Dialogflow CX chatbot + serverless ETL pipeline + BigQuery reporting. Azure DevOps canary deployment pipeline. Stack: GCP · Cloud Run · Terraform · Azure DevOps · Dialogflow CX · BigQuery · FastAPI · Python |
Sep 2022 – Apr 2023 · Healthcare Tech
Migrated manual environment setup to Terraform-managed AWS and Azure infrastructure. Built reusable modules for VPC, Kubernetes clusters, and database tiers enabling repeatable deployments across dev, staging, and production. Eliminated configuration drift through peer-reviewed, version-controlled IaC changes. Stack: Terraform · CloudFormation · AWS · Azure · Kubernetes · Helm · Git |
| Domain | Skills |
|---|---|
| Cloud Platforms | AWS (ECS, EKS, Lambda, IAM, VPC, S3, EC2, ALB, RDS, CloudTrail, Config) · Azure (VNet, AKS, AD, Key Vault, Monitor, Log Analytics, Service Bus, Databricks) · GCP (Cloud Run, Functions, SQL, BigQuery, Dialogflow) |
| CI/CD & Automation | GitHub Actions · Azure DevOps · Jenkins · ArgoCD · GitOps · YAML Pipelines · Workload Identity Federation (OIDC) |
| Infrastructure as Code | Terraform (modules, state management, version pinning) · Ansible · CloudFormation · ARM Templates |
| Containers & K8s | Kubernetes (EKS, AKS) · Docker · Helm · VMSS Agent Autoscaling · HPA · ALB Ingress · Canary Deployments |
| Security & Compliance | IAM least-privilege · IRSA · RBAC · SonarQube · Semgrep · Secrets Manager · DevSecOps · CloudTrail · AWS Config |
| Observability | CloudWatch (dashboards, severity tiers) · Prometheus · Grafana · ELK Stack · Azure Monitor · Log Analytics |
| Sectors | Financial Services (PwC UK Banking · FCA regulated) · Healthcare Technology (Elekta · Medical Devices) · AI SaaS |
| Degree | Institution | Location |
|---|---|---|
| MSc Computer Science | University of Hertfordshire | United Kingdom |
| BSc Computer Science | JNTU Hyderabad | India |
"From 140-minute pipeline queues to 12 minutes. From 85 weekly alerts to 11 actionable ones. That's the DevOps impact I deliver."