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At Quixy, I led the transformation of .NET application deployments, achieving full automation with CI/CD pipelines using Bitbucket and Jenkins, and enhancing efficiency through Docker containerization and Kubernetes orchestration. My expertise in Kubernetes, Helm Charts, and SSL certificate management, coupled with a collaborative approach, significantly improved deployment speed, system reliability, and security. I am an innovative DevOps professional, recognized for productivity and efficiency in completing projects. I possess strong skills in algorithm design, system architecture, and code optimization. I also excel in problem-solving, communication, and teamwork, ensuring successful collaboration on complex infrastructure and automation projects


  4+ years designing, automating, and securing AWS, Azure, and hybrid platforms for mission-critical workloads.
  Cut deployment time 50%+ by building reusable Jenkins and GitHub Actions pipelines with automated tests, security scans, and gated promotions.
  Drove an 80% reduction in environment drift using Terraform and CloudFormation with strict module standards, state controls, and immutable artifacts.
  Maintained 99.9% uptime for key services (≤ 8.8 hours/year) through health checks, progressive delivery, autoscaling, and automatic rollback on Kubernetes.
  Engineered multi-cloud automation with Terraform, Ansible, and Kubernetes to enable fast, repeatable application onboarding across environments.
  Established observability baselines for logs, metrics, and traces; tuned alerting to SLOs to speed triage and raise signal-to-noise during incidents.
  Reduced cloud spend with rightsizing, autoscaling, storage lifecycle policies, and cost-aware architectures while preserving performance.
  Embedded security best practices in CI/CD: least-privilege IAM, secrets management, image and dependency scanning, and pre-merge policy checks.
  Built compliance-first infrastructure using versioned IaC, auditable change controls, and separation of duties to simplify evidence collection.
  Delivered “golden paths” and modular templates that scale from startup MVPs to enterprise platforms without rework or reliability regressions.


DevOps Engineer with expertise in CI/CD implementation and cloud resource optimization. Achieved substantial time savings through automation of operational tasks and enhancement of development efficiency. Proficient in Docker, Kubernetes, and AWS, with a strong emphasis on security and performance troubleshooting. Experienced in designing and maintaining CI/CD pipelines and managing cloud-based infrastructure services, with a solid foundation in scripting languages like Python, Bash, and Perl.

Accomplished cloud and DevOps engineer with 4 years of extensive expertise in Amazon Web Services (AWS) and Microsoft Azure. Proficient in managing cloud platforms, including EC2, S3, RDS, VPC, IAM, Lambda, Elastic Beanstalk, CloudFormation, CloudWatch, ECS, EKS, SNS, SQS, Route 53 and Auto Scaling. Skilled in infrastructure as code using Terraform and AWS CloudFormation. Adept at continuous integration/continuous deployment (CI/CD) with Jenkins and Azure Pipelines. Experienced in containerization and orchestration using Docker and Kubernetes. Strong background in configuration management with Ansible and Terraform. Proficient in version control systems such as GitHub and Bitbucket. Expertise in scripting languages including Python and Shell Scripting. Demonstrated ability to monitor and log using CloudWatch and Prometheus. Comprehensive knowledge of databases like AWS RDS and DynamoDB.

Experienced DevOps Engineer with over six years of expertise in architecting and automating deployments across large-scale infrastructures. Proficient in DevOps tools such as Azure DevOps and GitLab CI/CD, I possess solid experience in designing and implementing robust CI/CD pipelines. With a strong background in working with multiple clouds, including AWS and Azure, I specialize in automating infrastructure deployment using Terraform.

Faiz Ali

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DevOps Engineer

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BE - Computer Science And Engineering

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DevOps Engineer

BE - Computer Science And Engineering

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