Hello, I'm
Mohammed Saad
Senior Site Reliability Engineer
Senior DevOps | Platform Engineering | MLOps
Senior SRE & DevOps Engineer with 10+ years of experience designing and scaling cloud-native distributed systems on AWS, GCP, and Azure. Expert in Kubernetes, Platform Engineering, Infrastructure-as-Code (Terraform, Pulumi), and observability. Passionate about community service - currently volunteering as Full Stack Developer at Challengers CC.
10+ Years
Experience
Cloud Expert
AWS | GCP | Azure
50+ Projects
About Me
Passionate technologist driving innovation through automation and reliability
Mohammed Saad
Senior Site Reliability Engineer
Senior Site Reliability Engineer | Senior DevOps Engineer | Platform Engineering
Senior Site Reliability Engineer & DevOps Engineer with over 10 years of experience designing, building, and scaling infrastructure for large-scale, cloud-native systems. I specialize in AWS, GCP, and Azure, with expertise in distributed systems, security, and scalability. Proven track record of owning systems end-to-end, solving ambiguous problems, and mentoring peers while delivering highly available, performant, and secure services.
Expert in building and scaling Kubernetes clusters and containerized workloads from the ground up. Proficient in Infrastructure-as-Code using Terraform and Pulumi, with hands-on experience maintaining and optimizing databases (PostgreSQL, DynamoDB, Redis) and backend services. Led initiatives on stateless architectures, CI/CD pipelines, and observability (Prometheus, Grafana, OpenTSDB, Envoy) to enhance scalability, maintainability, and reliability.
Strong background in platform engineering, designing internal developer platforms, and implementing Golden Metrics dashboards (latency, traffic, errors, saturation) with SLO-driven alerting. Passionate about fostering a culture of collaboration and continuous improvement through technical leadership and mentorship. Proficient in Python, Go, and JavaScript with a technology generalist mindset.
Beyond my professional work, I am passionate about giving back to the community. I volunteer for non-profit organizations focused on community betterment. Currently, I serve as the Full Stack Developer & Playing Director at Challengers Cricket Club, a cricket club in the London community. I built their website from scratch and manage their social media presence, helping grow the club's digital footprint and community engagement.
10+ Years Experience
Senior SRE, Senior DevOps, MLOps, and Platform Engineering across industries
Cloud Certified
AWS DevOps Professional, GCP Architect, CKAD, LFCS, KCNA, KCSA
Platform Engineering
Distributed systems, cloud-native architecture, and scalability design
Community Leader
Non-profit volunteer, Full Stack Developer & Playing Director at Challengers CC
Experience
10+ years of building and scaling infrastructure
Lead DevOps Engineer
- ▸Lead cloud infrastructure and platform reliability for an enterprise banking client's SAS Viya platform across Azure and GCP, owning architecture, security, automation and production readiness
- ▸Automated cloud infrastructure with Terraform and Terragrunt through CI/CD, building reusable patterns and version-controlled, environment-specific configurations that cut manual provisioning
- ▸Worked with enterprise architecture and security teams on private networking, Bring Your Own Key (BYOK), identity and access controls, and secure connectivity between client and vendor-managed environments
- ▸Serve as senior escalation point for production incidents, investigating application availability, load balancer health checks, compute, security groups and downstream dependencies
- ▸Coordinate infrastructure deployments, technical reviews, change approvals and readiness across engineering, security and governance stakeholders
- ▸Built predictive and auto-healing systems that turn incident analysis into automated break-fix and self-remediation for large-scale cloud environments
DevOps Engineer - AI/ML Platform & SRE
- ▸Built and maintained production infrastructure across AWS and GCP for high-throughput services, Kubernetes workloads, containerized deployments and GPU-enabled compute
- ▸Expanded Terraform/Terragrunt patterns and refactored GitHub Actions Terraform CI/CD with separate plan and apply stages, automated project detection, validation and deployment safeguards
- ▸Supported the cloud architecture and production delivery of ViGenAiR, an AI-powered video advertising platform using Vertex AI Gemini and Google Cloud Video Intelligence, with event-driven processing on Cloud Storage and Eventarc
- ▸Implemented Prometheus, Grafana, Alertmanager and New Relic, improving alerting, incident investigation and service reliability
- ▸Strengthened cloud security and governance with IAM controls, identity configuration, deployment isolation and auditable changes
- ▸Configured Cloudflare DNS and expanded Cloudflare Workers for edge request handling and crawler-related workflows
- ▸Improved engineering delivery with Blacksmith, GitHub Actions, Greptile and Renovate, and used Linear to track infrastructure work and technical debt
- ▸Documented platform integrations and disaster recovery requirements, targeting a four-hour RTO and one-hour RPO
Data Engineer
- ▸Advised enterprise clients in regulated environments on cloud infrastructure, DevSecOps, data platforms and production reliability
- ▸Built and streamlined GCP ETL pipelines with Cloud Storage, Dataflow and BigQuery, improving pipeline reliability through monitoring and validation
- ▸Supported Kubernetes and cloud-native workloads and enhanced Terraform automation for deployment, security and readiness
- ▸Applied observability and incident-management practices with platform, security and application teams for production readiness and compliance
Data Engineer
- ▸Ran cloud data and analytics workloads with Python, PySpark, BigQuery, Informatica, Cassandra and Hive
- ▸Deployed forecasting and predictive analytics workloads using Python, ARIMA and containerized, Kubernetes-based environments
- ▸Integrated SAP enterprise datasets with analytics and ML pipelines and helped productionize AI/ML services using MLOps practices
- ▸Created Python automation and Infrastructure as Code for data engineering and operations across AWS, Azure and GCP
Data Analyst
- ▸Supported data analysis, reporting and engineering workflows for business and technical stakeholders by automating pipelines and integrations
Software Engineering Analyst
- ▸Improved deployment reliability by 20% by adopting DevOps practices, Infrastructure as Code and cloud technologies for software engineering workflows
10+ years in tech — Working since 2016
For detailed experience history, feel free to get in touch or connect on LinkedIn
Skills & Expertise
Comprehensive technical stack for modern infrastructure and ML operations
Cloud Platforms
Container & Orchestration
Platform Engineering
Infrastructure-as-Code
CI/CD & Automation
Monitoring & Observability
FinOps & Cost Optimization
Distributed Systems
Data & ML Tools
Programming & Scripting
Databases & Storage
Security & Networking
Certifications & Badges
Industry-recognized certifications demonstrating expertise in cloud, DevOps, Kubernetes, and infrastructure
View All Badges on CredlyLFCS: Linux Foundation Certified Systems Administrator
The Linux Foundation
KCNA: Kubernetes and Cloud Native Associate
The Linux Foundation
KCSA: Kubernetes and Cloud Native Security Associate
The Linux Foundation
CKA: Certified Kubernetes Administrator
The Linux Foundation
CKAD: Certified Kubernetes Application Developer
The Linux Foundation
Professional Cloud Architect Certification
Google Cloud
Associate Google Workspace Administrator
Google Cloud
AWS Certified DevOps Engineer – Professional
Amazon Web Services
8
Certifications
2
Cloud Platforms
5
Linux Foundation
2027
Valid Until
Featured Projects
A selection of projects showcasing my expertise in cloud infrastructure, DevOps, and MLOps
MLOps Pipeline with CI/CD & Monitoring
End-to-end ML pipeline for customer churn prediction featuring Airflow orchestration, FastAPI model serving, Prometheus/Grafana monitoring, and multi-cloud deployment to AWS ECS and GCP Cloud Run via GitHub Actions
Multi-Tenant IaC Deployment with CI/CD
Built multi-tenant Terraform platforms for enterprise clients. Each tenant gets isolated infrastructure through a CI/CD pipeline with automated plan, approval and apply steps across environments.
Multi-Cloud Terraform Infrastructure
Architected multi-cloud infrastructure across AWS, GCP, and Azure using Terraform with Terragrunt for DRY configurations. Implemented modular patterns enabling teams to provision standardized environments across 3 cloud providers
IaC Adoption & Migration
Led Terraform adoption in non-IaC environments using Terraformer to reverse-engineer existing infrastructure. Built GitHub Actions CI/CD pipelines with automated plan/apply workflows, enabling SRE team ownership of infrastructure provisioning
Multi-Cloud CI/CD Infrastructure
Led GCP and AWS multi-cloud deployments with Cloud Build, GKE, and blue-green deployment strategies, achieving 40% reduction in downtime
Predictive Analytics Pipeline
Built and deployed predictive models for customer churn and CO₂ emissions using Python, containerized and scaled on Azure Kubernetes Service
Churn Prediction & Customer Insights
Designed ETL/ELT workflows with Apache Airflow and Dataflow, deployed churn prediction models with CI/CD integration
Enterprise Data Pipeline (GCP)
Built optimized GCP pipelines with Cloud Storage, Dataflow, and BigQuery, increasing pipeline availability by 15%
Monitoring & Observability Stack
Implemented Prometheus, Grafana, and New Relic across multiple projects, achieving 30% increase in monitoring capabilities
ML Integration with SAP Data
Connected enterprise SAP ERP datasets to ML pipelines with PySpark, Cassandra, and Hive. Leveraged Kubernetes for scaling inference services
Technical Blog
Sharing insights on DevOps, MLOps, and Cloud Engineering
Effortless Database Migrations in Production with Cloud Run Jobs
Master DevOps Project 4: Learn how to automate database migrations in production environments using Cloud Run Jobs and GCP
Read ArticleLet's Connect
Questions about Site Reliability Engineering, DevOps, or MLOps? Send me a message.
Get in Touch
Feel free to reach out for collaborations, opportunities, or just a friendly chat. I typically respond within 24 hours.