Professional Summary
Dynamic and results-driven Senior DevOps, Cloud Architect, and Site Reliability Engineer (SRE) with over 8 years of progressive experience designing, building, and optimizing cloud-native infrastructure for highly scalable enterprise and startup environments. Recognized as a technical leader who bridges the gap between engineering execution and strategic business objectives. Expert in AWS, GCP, and Kubernetes ecosystems, with advanced proficiency in Infrastructure as Code (IaC) and modern AI systems orchestration. Proven track record of spearheading large-scale cloud migrations, driving aggressive cost-optimization initiatives, and establishing rigorous GitOps workflows. Adept at managing high-performance inference engines, enforcing strict security postures, and delivering highly available, fault-tolerant solutions while mentoring cross-functional engineering teams.
Technical Skills Dashboard
Cloud & Architecture
Containers & Orchestration
CI/CD & GitOps
Infrastructure as Code
Observability & Monitoring
AI Infrastructure & Data
Automation & Scripting
Multi-Cloud Architecture Expertise
8+ years of hands-on production work across all three major hyperscalers. Each diagram below reflects real architecture patterns delivered in the roles described in the timeline — not vendor training material.
Compute, Serverless & Data Platforms
Production experience spanning EC2/ECS/EKS compute, serverless Lambda, Bedrock AI integration, Kinesis streaming pipelines, and RDS/S3/Snowflake data platforms — delivered across advertising, fintech, and large-scale on-prem-to-cloud migration projects.
Containerized Microservices & Analytics
Built containerized microservices on GKE, event-driven pipelines with Cloud Pub/Sub, and large-scale analytics on BigQuery — deployed alongside multi-cloud observability shared with Azure Monitor.
AI Agent Infrastructure & GitOps
Current focus on Azure-native AI infrastructure — AKS clusters, ArgoCD GitOps delivery, Azure OpenAI-backed agent services, and Azure Monitor/Key Vault for security and observability.
Professional Experience
Senior DevOps & Infrastructure Architect
Analytics Services – delivering cutting‑edge data analytics solutions
- Architect and manage the core cloud-native infrastructure for the company's AI Agent Platform, authoring modular Helm charts (
platform-core,control-plane) automatically published to a private Helm repository via GitHub Actions pipelines. - Engineered declarative GitOps delivery pipelines using ArgoCD, establishing self-healing, automated pruning, and sync waves for deploying core microservices (broker, context-service, secure code sandbox) to Kubernetes (AKS) with zero configuration drift.
- Designed and deployed a multi-cloud OpenTelemetry (OTel) Collector gateway pattern, routing OTLP traces, metrics, and logs from workloads to Azure Monitor and Google Cloud (Cloud Monitoring/Logging) simultaneously.
- Scaled hosting and deployment infrastructure for the Model Context Protocol (MCP) Gateway service, enabling autonomous AI agents (leveraging Anthropic specs and Azure OpenAI models) to securely access vector search, RAG, and document processing tools.
- Executed a comprehensive FinOps Datadog audit encompassing an inventory of 737 hosts, successfully identifying and implementing significant annual cost savings.
- Hardened Kubernetes security posture by provisioning custom CA certificate authorities via
cert-managerandmkcert, setting up secure ACR image pull secrets, and integrating automated registry vulnerability scanning.
View Architecture Diagram
Enterprise Observability & FinOps Optimization 2026
Conducted a massive infrastructure audit utilizing Datadog, mapping an inventory of exactly 737 hosts to execute critical architectural changes that drastically reduced annual cloud spend.
Senior DevOps Engineer
Digital Consultancy & Software Engineering Studio – delivering infrastructure for enterprise clients across advertising, fintech, healthcare, and data platforms
Embedded as a senior infrastructure engineer at a software consultancy rather than a single product team — staffed across multiple concurrent client engagements. The projects below reflect that breadth, spanning advertising/ad-tech, a large data modernization initiative, and multi-client infrastructure advisory work.
Client Engagement: Advertising & Media Platform
2025- Architected and managed multi-tenant cloud infrastructure for high-scale advertising platforms utilizing AWS ECS containers and Kubernetes clusters, ensuring high throughput and low latency.
- Implemented massive data warehousing and analytics solutions leveraging Snowflake, facilitating real-time advertising metrics, BI reporting, and predictive analytics.
- Integrated AWS Bedrock to provision AI/ML-powered optimization engines, enhancing the accuracy and delivery speed of targeted recommendation systems.
- Governed infrastructure states utilizing Terraform Cloud, ensuring consistent, repeatable, and secure deployments across distinct staging and production environments.
- Engineered complex CI/CD pipelines using Jenkins to automate testing, deployment, and seamless rollback processes for diverse, multi-language microservices written in PHP, Python, and Java.
- Orchestrated advanced ETL data workflows via Apache Airflow and AWS Glue Jobs, automating pipeline transformations for critical, large-scale platform data.
View Architecture Diagram
Client Engagement: Data Modernization Project
2025- Modernized a legacy geospatial data platform, ingesting real-time location events (geospatial datatypes) through AWS Kinesis Data Streams and a third-party geolocation API.
- Orchestrated AWS Glue ETL jobs via Airflow (Amazon MWAA) to cleanse, deduplicate, and backfill missing or incorrect records arriving from multiple upstream data sources.
- Persisted curated geospatial records in RDS PostgreSQL for operational queries, and loaded conformed datasets into Snowflake for downstream analytics.
- Hardened the AWS account footprint using AWS Trusted Advisor best-practice checks and integrated Datadog for full-pipeline observability across ingestion, ETL, and storage layers.
View Architecture Diagram
Client Engagement: Enterprise Infrastructure Advisory
2020 – 2024- Led infrastructure architecture end-to-end for multiple enterprise clients, driving projects from initial requirements gathering and capacity planning through to secure production delivery.
- Directed massive on-premise to AWS cloud migrations. Successfully achieved a 40% reduction in overall operating costs post-migration by implementing rigorous optimization algorithms and automation strategies.
- Architected high-throughput, event-driven data pipelines and real-time integrations using AWS Kinesis, Lambda functions, and Kinesis Data Firehose.
- Developed a comprehensive, centralized library of reusable Terraform modules. Standardized infrastructure provisioning across the organization, drastically reducing deployment times and human configuration errors.
- Deployed sophisticated, end-to-end observability stacks combining Grafana, Prometheus, DataHub, and Great Expectations to guarantee data integrity, pipeline health, and system reliability.
- Provided technical mentorship to engineering teams and established stringent infrastructure, security, and GitOps standards successfully adopted across 15+ concurrent projects.
View Architecture Diagram
Multi‑Tenant Recruiting & Financial Platform 2025
Architected and deployed a highly scalable SaaS application on Microsoft Azure, orchestrating microservices via Azure Kubernetes Service (AKS) with strict multi‑client data isolation. Integrated GPT 5.4 mini for intelligent automation (resume parsing, candidate matching, financial data analysis). Built an observability stack with Prometheus and Grafana, configuring sophisticated alerts for SLA compliance.
AI Infrastructure & High‑Performance Inference 2025
Integrated AWS Bedrock to support AI/ML optimization models and deployed LightLLM as the primary high‑performance inference engine for a client's machine‑learning workloads, ensuring low latency and high throughput.
Healthcare Web Architecture Deployment 2025
Developed and deployed an end‑to‑end infrastructure solution for a Texas‑based diagnostics provider, using Pulumi and Terraform to programmatically define cloud resources.
Multi‑Cloud Kubernetes Platform & GitOps Delivery 2024–2025
Architected resilient microservices environments spanning AWS EKS and Azure AKS, utilizing ArgoCD for GitOps‑based continuous delivery and enforcing immutable image tags via Git SHAs.
GCP Data & Event‑Driven Ecosystem 2023–2024
Designed a highly available data architecture on GCP using GKE for containerized microservices, BigQuery for large‑scale analytics, and Cloud Pub/Sub for real‑time processing pipelines.
Azure to AWS Infrastructure Migration 2022–2023
Replicated and modernized legacy Azure infrastructure natively into AWS, improving CI/CD workflows and security. Migrated pipelines from Jenkins to GitHub Actions, preserving deployment history and reducing build times.
Serverless & Containers Integration 2020–2022
Delivered scalable AWS Amplify and ECS Fargate solutions powered by AWS Lambda, with automated CI/CD via Bitbucket Pipelines, secure authentication, and end‑to‑end observability.
DevOps Engineer & SRE
Online Recruitment Platform • Case Study & Diagrams →
- Directed a multi-account AWS migration for the platform, standing up separate production and QA/staging AWS accounts and using Terraform for infrastructure-as-code provisioning across both.
- Built and maintained HashiCorp Packer golden AMIs deployed across up to 40 EC2 instances running .NET applications behind Auto Scaling Groups (ASG).
- Decomposed the legacy .NET monolith into containerized microservices and migrated the platform onto Kubernetes (EKS), improving deployment independence and horizontal scalability.
- Migrated core databases from the Ireland datacenter to AWS RDS via AWS Direct Connect and AWS Database Migration Service (DMS), and maintained an Amazon Redshift cluster for downstream analytics.
- Built and maintained CI/CD pipelines in GoCD, enforcing semantic versioning on releases and aligning deployment cadence with Agile sprint planning.
- Stood up dedicated QA environments with automated Selenium test suites to validate releases before production rollout.
- Implemented Dynatrace observability across the new AWS estate for full-stack application performance monitoring.
- Executed the final cutover: migrated all DNS records and fully decommissioned the legacy Ireland datacenter once the AWS environment reached parity, achieving zero downtime for end-users.
View Architecture Diagram
On‑Premise to AWS Migration 2018–2020
Successfully migrated 50+ core services from on‑premise environments into a multi-account AWS setup using Terraform, Packer, and EKS, decomposing the legacy .NET monolith into microservices and establishing automated GoCD CI/CD pipelines with Dynatrace observability.
IT Support Specialist
IT Solutions Provider • Case Study & Diagrams →
- Delivered proactive technical support, systematic maintenance, and advanced troubleshooting for Windows Server environments and overarching enterprise IT infrastructure across multiple organizational entities.
- Implemented, audited, and monitored automated backup strategies, maintaining 99.9% availability for key systems and ensuring operational business continuity via rapid incident triage and resolution.