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Hamza Malik

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Hamza Malik

Hamza Malik is a highly skilled and results-driven Senior DevOps Engineer, Cloud Architect, and Infrastructure Engineer with over a decade of experience in designing, implementing, and optimizing cloud-native infrastructures, CI/CD pipelines, and automation frameworks. He has a proven track record of leading cross-functional teams to deliver scalable, secure, and high-performance cloud solutions across AWS, Azure, and GCP. Hamza specializes in container orchestration (Docker, Kubernetes), Infrastructure as Code (Terraform, Ansible, CloudFormation), and cloud security best practices, ensuring system reliability, compliance, and operational excellence. Committed to driving efficiency, cost reduction, and process automation, Hamza leverages innovative DevOps methodologies and strategic leadership to modernize legacy infrastructures, enhance software delivery lifecycles, and optimize cloud operations for enterprise digital transformation. Passionate about cloud innovation, system optimization, and fostering a culture of continuous improvement, he enables seamless software delivery and business agility while consistently delivering value to organizations through cutting-edge technology solutions.

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Professional Skillsets

  • Cloud Platforms and Architectures:

    • Expertise in AWS (EC2, S3, Lambda, VPC, IAM, CloudFormation, RDS, ECS, EKS), Azure (Azure DevOps, AKS, Azure Functions, Key Vault, VM Scale Sets, Azure Pipelines), and GCP (GKE, Pub/Sub, Cloud Functions, Cloud Run, BigQuery).
    • Proficient in multi-cloud architectures, including hybrid and multi-cloud solutions across AWS, Azure, and GCP.
    • Experienced in cloud migration strategies for transitioning from on-premises to cloud infrastructure.

  • CI/CD and DevOps Tooling:

    • Skilled in Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps, AWS CodePipeline for automated deployments and workflow orchestration.
    • Familiar with enterprise-grade release automation tools like XLR (XebiaLabs), Octopus Deploy, ArgoCD, and Spinnaker for Kubernetes-native continuous delivery.

  • Programming and Scripting Languages:

    • Proficient in Python, Go, Java, JavaScript, C++, Bash, PowerShell, Ruby, and Groovy for various development and automation tasks.

  • Data Engineering and AI/ML Integration:

    • Experienced in data pipeline automation using Apache Spark, Airflow, and Kafka.
    • Knowledgeable in machine learning model deployment with MLflow, TensorFlow, and AWS SageMaker.

  • Infrastructure as Code (IaC) and Automation:

    • Skilled in Terraform, CloudFormation, Pulumi for infrastructure provisioning and management.
    • Proficient in configuration management and automation using Ansible, Puppet, Chef, and enterprise-scale workflow automation with Ansible Tower and AWX.

  • Monitoring and Security:

    • Expertise in observability and log analysis tools like Splunk, Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), DataDog, CloudWatch, and New Relic.
    • Experienced in secrets management and encryption using HashiCorp Vault, AWS KMS, Azure Key Vault, SIEM, WAF, IDS/IPS for security compliance and threat detection.

  • Containerization and Orchestration:

    • Proficient in Docker, Kubernetes (K8s), OpenShift for microservices deployment and scaling.
    • Skilled in Helm, Kubernetes Operators, Istio for service mesh and workload automation, and lightweight Kubernetes solutions like K3s and Rancher for edge computing.

  • Project Leadership and Team Management:

    • Proven ability to lead cross-functional teams in delivering scalable, secure, and high-performance cloud solutions.
    • Experienced in managing globally distributed teams and optimizing Kubernetes-based infrastructure.

  • Cost Optimization and Efficiency Improvement:

    • Developed and executed cloud cost optimization strategies leveraging AWS and Azure best practices, achieving a 30% reduction in operational expenses while maintaining performance and reliability.

  • Security and Compliance Automation:

    • Integrated security as code within CI/CD pipelines using tools like Trivy, Snyk, Checkov, and OWASP ZAP for vulnerability detection.
    • Implemented policy-as-code using OPA (Open Policy Agent) and AWS Config Rules to enforce compliance standards such as SOC 2, HIPAA, and PCI DSS.

  • AI and Customer Engagement:

    • Leveraged AI-driven scoring models in platforms like D365 Customer Insights to predict high-value leads and automate personalized marketing workflows, increasing lead conversion rates by 30%.
     

  • Configuration Management:

    • Automated the configuration and management of large fleets of Linux servers using Puppet, reducing server configuration drift by 90% and ensuring compliance with security and operational standards.

Career Accomplishments

  • Multi-Tenant SaaS Platform Development:

    • Led the design and development of a multi-tenant SaaS platform for automated container updates, reducing release cycles by 40% and significantly enhancing operational efficiency.

  • Kubernetes Infrastructure Optimization:

    • Managed a globally distributed team to architect and optimize Kubernetes-based infrastructure, ensuring scalable, secure, and efficient microservices deployment across various cloud environments.

  • AI-Powered Chrome Extension:

    • Engineered and deployed a serverless AI-powered Chrome extension using OpenAI’s large language models (LLMs) for real-time, unbiased news updates, improving user engagement and system scalability.

  • Cloud Cost Optimization:

    • Developed and executed strategies leveraging AWS and Azure best practices, leading to a 30% reduction in operational expenses while maintaining performance and reliability.

  • Scalable CI/CD Pipelines:

    • Designed and implemented scalable CI/CD pipelines across AWS and Azure, integrating "fail-fast" testing methodologies that reduced push-to-fail time by 35%, enhancing deployment efficiency.

  • Custom Kubernetes Controllers:

    • Developed custom Kubernetes controllers to optimize resource allocation and orchestration, reducing infrastructure provisioning time by 20% and improving overall cost efficiency.

  • Container Security Compliance Automation:

    • Automated container security compliance workflows, ensuring SOC 2 compliance and saving over 1,000 engineering hours annually through seamless policy enforcement.

  • Cloud Infrastructure Modernization:

    • Led initiatives to modernize cloud infrastructure, implementing best practices for high availability, security, and cost optimization in multi-cloud environments.

  • Infrastructure as Code (IaC) Standardization:

    • Spearheaded IaC strategies using Terraform and CloudFormation, standardizing deployments and improving system resilience across diverse cloud platforms.

  • Reliability Strategies Implementation:

    • Designed and implemented reliability strategies using CI/CD pipelines, Infrastructure as Code (IaC), and Kubernetes, ensuring seamless deployments and system stability.

  • Monitoring and Alerting Solutions:

    • Developed robust monitoring, logging, and alerting solutions using Prometheus, Grafana, ELK Stack, and Datadog, improving incident detection and response time by 40%.

  • Automation of Operational Tasks:

    • Automated operational tasks and incident remediation through scripting (Python, Bash, Go) and configuration management tools (Ansible, Terraform, Chef, Puppet), reducing manual effort and increasing efficiency.

  • System Performance Optimization:

    • Optimized system performance and cloud cost management by applying SLOs, SLIs, and error budgets to balance feature development with reliability.

  • Root Cause Analysis Leadership:

    • Led root cause analysis (RCA) and post-mortem processes, identifying bottlenecks and driving continuous improvements to site reliability and availability.

  • DevSecOps and Compliance Automation:

    • Integrated security as code within CI/CD pipelines using tools like Trivy, Snyk, Checkov, and OWASP ZAP for vulnerability detection.
    • Implemented policy-as-code using OPA and AWS Config Rules to enforce compliance standards such as SOC 2, HIPAA, and PCI DSS.
    • Reduced security audit time by 70%, improving compliance posture and risk management.

  • AI-Enhanced Customer Engagement:

    • Leveraged AI-driven scoring models in D365 Customer Insights to predict high-value leads and automate personalized marketing workflows, increasing lead conversion rates by 30%.
    • Integrated D365 CE with Power BI for real-time sales analytics, enhancing strategic decision-making and customer engagement.

  • Configuration Management with Puppet:

    • Automated the configuration and management of a large fleet of Linux servers using Puppet, reducing server configuration drift by 90% and ensuring compliance with security and operational standards.

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