Summary
Overview
Work History
Education
Skills
Certification
Timeline
Generic

Mohammed Khan

Summary

Accomplished Sr. DevOps Engineer with extensive experience at Twitter Inc., specializing in cloud platforms like AWS and Azure. Proven track record in automating CI/CD pipelines and enhancing system reliability. Adept at leveraging Python for automation while fostering collaboration across teams to drive project success and improve deployment efficiency.

Overview

15
15
years of professional experience
1
1
Certification

Work History

Sr. DevOps Engineer / Data Engineer

Twitter Inc
San Francisco
02.2023 - 05.2025
  • Led the integration of advanced security protocols into DevOps workflows, including automated security scans and the enforcement of secure coding standards.
  • Excelled in a demanding on-call rotation, furnishing round-the-clock support for mission-critical production systems, and orchestrating swift incident resolutions.
  • Demonstrated mastery in multiple scripting languages: Python, Bash, and Perl, to orchestrate complex automation tasks that elevated system efficiency and reliability.
  • Designed and deployed robust Public Cloud Landing Zones in GCP, Azure, and OCI, establishing secure, scalable, and compliant multi-account structures to support enterprise workloads.
  • Delivered enterprise-grade GCP environments for 5+ years, architecting complex VPCs, subnets, firewall rules, and hybrid networking solutions while enforcing best practices for IAM and resource organization.
  • Built and supported Azure environments for 1–3 years, configuring core services, managing Azure Active Directory integration, and leveraging Azure CLI and PowerShell for resource automation.
  • Deployed and maintained Oracle Cloud Infrastructure (OCI) workloads, utilizing core OCI services such as Compute, Block Storage, Virtual Cloud Networks, and leveraging OCI CLI and Python SDK for operational automation.
  • Engineered Infrastructure as Code (IaC) solutions across GCP, Azure, and OCI using Terraform, defining reusable modules, managing state files, and applying GitOps principles for version-controlled infrastructure deployments.
  • Developed Golden Image pipelines with Jenkins, GitHub Actions, and Packer to create hardened, pre-configured VM images for consistent and compliant provisioning across cloud environments.
  • Automated infrastructure provisioning workflows, integrating CI/CD pipelines with Terraform plans and applies, ensuring consistent delivery and minimizing configuration drift.
  • Defined and implemented baseline health monitoring solutions that measure Service Level Indicators (SLIs) and Service Level Objectives (SLOs), enabling proactive incident response and supporting error budgeting strategies for cloud workloads.
  • Applied advanced Platform Engineering principles to design resilient, self-service infrastructure platforms that enable development teams to provision and manage cloud resources securely and efficiently.
  • Leveraged GCloud CLI, Bash, Azure CLI, PowerShell, OCI CLI, and Python SDK to automate multi-cloud resource management, enforce policy compliance, and streamline operational tasks.
  • Integrated Jira and ServiceNow into cloud engineering workflows to track tasks, incidents, and change requests, ensuring clear communication and audit trails for infrastructure activities.
  • Skillfully harnessed automation tools and technologies, such as Ansible and Terraform to streamline repetitive tasks and orchestrate seamless deployment and provisioning processes.
  • Created and maintained Python-based ETL (Extract, Transform, Load) processes to ingest, clean, and transform data from various sources.
  • Implemented machine learning models and data science solutions using Python libraries such as scikit-learn and TensorFlow.
  • Developed and trained machine learning models using TensorFlow and PyTorch, focusing on predictive analytics and pattern recognition for cloud resource management automation.
  • Implemented machine learning workflows in AWS using SageMaker to build, train, and deploy models, integrating them with existing cloud infrastructure and applications.
  • Utilized scikit-learn and Pandas for data preprocessing, feature engineering, and exploratory data analysis to enhance model accuracy and performance in real-time applications.
  • Deployed ML models into production using Docker containers orchestrated by Kubernetes.
  • Created custom machine learning algorithms to analyze and interpret complex data sets from distributed systems.
  • Experience with ML model versioning, staging, and rollbacks using MLflow to manage the lifecycle of various models across multiple environments.
  • Developed complex Logstash configurations to parse, transform, and enrich log data from multiple sources including system logs, application logs, and network events for data uniformity analysis.
  • Utilized Grok patterns in Logstash to dissect and match text, significantly reducing troubleshooting time and improving the accuracy of log parsing.
  • Integrated Logstash with Elasticsearch and Kibana to create robust SIEM (Security Information and Event Management) solutions, making real-time data visualization and dashboard reporting.
  • Optimized Logstash performance through advanced pipeline management, leveraging persistent queues and worker tuning to ensure high availability and fault tolerance.
  • Automated the deployment of Logstash configurations using Ansible, making sure there was consistent setups across development, testing, and production environments.
  • Demonstrated adeptness in data mapping and transformation, meticulously aligning data structures from different sources and standardizing formats to ensure consistency and accuracy.
  • Integrated Python applications with relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Redis).
  • Developed custom policy frameworks using OPA for identity and access management, to make sure there was compliance with corporate security guidelines and governance standards across cloud platforms.
  • Designed and implemented Docker images specifically tailored for .NET applications, ensuring optimized performance and compatibility within containerized environments.
  • Utilized Dockerfile to build, test, and deploy .NET applications using multi-stage builds to minimize image size and surface area for security vulnerabilities.
  • Developed CI/CD pipelines integrating Docker with Jenkins and Azure DevOps for automated testing and deployment of .NET applications to production environments.
  • Evaluated and selected appropriate Python frameworks, libraries, and tools to support project requirements, such as Flask, Django, or FastAPI.
  • Designed microservices and API architectures using Python to enable modular and decoupled application components.
  • Utilized C# as the primary programming language for .NET development, ensuring the creation of clean, maintainable, and high-performing code.
  • Collaborated with frontend developers to integrate .NET backend systems seamlessly with user interfaces, optimizing data flow and communication between frontend and backend components.
  • Implemented Open Policy Agent, OPA, to enforce policies across microservices in a Kubernetes environment, utilizing Rego policies to manage and control access at different service levels.
  • Integrated OPA with existing CI/CD pipelines using Jenkins and Terraform to dynamically apply and enforce security policies during the deployment phases in AWS and GCP environments.
  • Led the configuration and management of infrastructure as code (IaC) using tools like Terraform, Ansible, or Chef, ensuring consistency and repeatability in deployments.
  • Played a pivotal role in scaling Agile practices, working with multiple Scrum teams and stakeholders to coordinate work and dependencies.
  • Implemented and managed BigQuery instances for real-time data analytics, integrating streaming data from various sources using Google Cloud Dataflow.
  • Configured and maintained GCP Pub/Sub to facilitate asynchronous messaging services between microservices, improving communication efficiency and system responsiveness.
  • Utilized GCP IAM to manage and monitor user roles and permissions, ensuring secure access to cloud resources and compliance with security policies.
  • Deployed and scaled web applications on Google Kubernetes Engine (GKE), optimizing resource allocation and management with GCP's native Kubernetes integration.
  • Engineered disaster recovery solutions using GCP’s Cloud Storage and Persistent Disks, ensuring data durability and high availability across geographically dispersed data centers.
  • Automated deployment processes using Google Cloud Build and Spinnaker, enabling CI/CD pipelines for rapid and reliable software delivery.
  • Integrated Stackdriver for monitoring, logging, and diagnostics across all GCP services, providing insights into system performance and facilitating proactive incident management.
  • Employed HCL to define infrastructure configurations in a declarative and human-readable format, enhancing collaboration between development and operations teams.
  • Successfully orchestrated multi-cloud and hybrid cloud environments using Terraform, optimizing resource allocation and enhancing cloud interoperability.
  • Collaborated with data engineers and analysts to optimize data loading strategies, employing distribution keys, sort keys, and compression techniques to enhance query efficiency.
  • Proficiently created and managed Redshift tables, views, and materialized views, ensuring that data structures aligned with analytical requirements and business goals.
  • Demonstrated adeptness in writing complex SQL queries in Amazon Redshift, aggregating and transforming data to generate valuable insights for business decision-making.
  • Successfully developed and deployed Python-based solutions that streamlined complex tasks, resulting in significant time and resource savings for the organization.
  • Leveraged popular Python libraries such as pandas, NumPy, and Matplotlib to analyze and visualize large datasets, providing valuable insights to guide strategic decision-making.
  • Leveraged tools like Microsoft SSIS, Talend, or Apache NiFi to automate data extraction, transformation, and loading tasks, reducing manual effort and minimizing data errors.
  • Managed cloud infrastructure on AWS, including EC2, S3, RDS, and Lambda, ensuring high availability and performance.
  • Leveraged HCL's support for variables and data sources to enhance configurability and to enable the seamless integration of external data into infrastructure definitions.
  • Spearheaded comprehensive tasks related to Rsync, including data backup, recovery, and meticulous performance monitoring.
  • Pioneered the automation of Cron jobs, swiftly mitigated hardware glitches, and consistently enhanced system performance.
  • Conducted meticulous UNIX security audits and proficiently implemented security audit enhancements.
  • Key contributor in evolving a sophisticated multithreaded subscription process, encompassing various subscription and push servers.
  • Leveraged C++, STL, multithreading, and shell scripting, yielding a performance-driven system.
  • Optimized existing C++ codebases, utilizing profiling tools to identify bottlenecks and inefficiencies and implementing solutions to improve runtime performance.
  • Employed C++ to interact with low-level hardware and system components, enabling the creation of device drivers, embedded systems, and real-time applications.
  • Expertly utilized AWS services like Amazon S3, Glue, Redshift, and Athena to construct end-to-end data pipelines, facilitating data ingestion, transformation, and storage at scale.
  • Played a pivotal role in harnessing AWS Glue for ETL (Extract, Transform, Load) processes, orchestrating data transformations and ensuring data quality in preparation for downstream analytics.

Sr. System Engineer / DevOps Engineer

Tik Tok
Washington D.C.
12.2022 - 02.2023
  • Implemented Continuous Integration/Continuous Deployment (CI/CD) pipelines using Jenkins, Git, Docker, and Kubernetes, improving deployment frequency and reducing lead time for changes.
  • Managed cloud infrastructure on AWS, including EC2, S3, RDS, and Lambda, ensuring high availability and performance.
  • Used Terraform and Ansible for infrastructure as code (IaC) and automated configuration management, reducing manual errors and increasing efficiency.
  • Implemented monitoring and logging solutions using tools like Prometheus, Grafana, and ELK stack (Elasticsearch, Logstash, Kibana), improving system visibility and proactively addressing issues.
  • Leveraged containerization technologies like Docker and container orchestration platforms like Kubernetes for Python application deployment.
  • Implemented and maintained CI/CD pipelines for Python projects, automating testing, building, and deployment processes.
  • Worked closely with development teams to establish DevOps practices, improving collaboration and accelerating software delivery.
  • Performed root cause analysis for production errors and implemented fixes to prevent recurrence.
  • Experience in Configuration and Administration of Apache Web Server and SSL.
  • Experience in Security auditing using Korn scripting, Python, ruby for day-to-day system administration.
  • Provided 24x7 on-call / Remote Support for UNIX Production Problems on a weekly rotation basis. And worked on opened tier-II support tickets for managing firewall clients to be updated.
  • Managed Docker container orchestration via Kubernetes, improving scalability and resource usage.
  • Designed and maintained a centralized logging architecture using Logstash to aggregate logs from various AWS services.
  • Worked closely with security teams to implement customized Logstash filters that identify potential security threats and anomalies.
  • Implemented security best practices in DevOps processes, including automated security testing and secure coding practices.
  • Participated in on-call rotation, providing 24/7 support for critical production systems.
  • Experience with scripting languages such as Python, Bash, or Perl for automation tasks.
  • Implemented disaster recovery strategies and conducted regular DR drills to ensure system resilience.
  • Worked on Rsync, backup, recovery, restoring of data and files performance management, Cron jobs automation, troubleshoot hardware failures and system performance.
  • Participated in the development of a multithreaded subscribe process which consisted of several subscription and push servers using C++, STL, multithreading, shell scripting.
  • Worked with database technologies like MySQL, PostgreSQL, and MongoDB, ensuring optimal performance and data integrity.
  • Used Agile methodologies and tools (like Scrum, Kanban) for project management, improving team productivity and efficiency.
  • Kept up-to-date with the latest industry trends and technologies, continuously improving DevOps practices.
  • Provided training and mentorship to junior DevOps engineers, fostering a culture of learning and continuous improvement.
  • Contributed to the design and implementation of microservices architecture, improving system modularity and scalability.

Sr. System Engineer / DevOps Engineer

AT&T
Washington D.C.
03.2016 - 12.2022
  • Involved in designing and deploying a multitude of applications utilizing almost all the AWS stack including EC2, Route53, S3, IAM, RDS, DynamoDB, SNS, SQS, LAMBDA, EMR, REDSHIFT, focusing on high-availability, fault tolerance and auto-scaling in AWS cloud formation.
  • Supported AWS Cloud environment with 200+ AWS instances and configured Elastic IP & Elastic Storage and experience working on implemented security groups and Network Acls.
  • Experience in working with AWS CodePipeline and Creating Cloud formation JSON templates which are converted to Terraform for infrastructure as code.
  • Designed, deployed, and maintained Azure Kubernetes Service (AKS) clusters for containerized application workloads, ensuring high availability and scalability.
  • Built and maintained CI/CD pipelines using Azure DevOps and GitHub Actions, automating testing, builds, and deployment to AKS environments.
  • Implemented Docker containerization for legacy and cloud-native applications; optimized Dockerfiles for secure and efficient builds.
  • Automated Azure resource provisioning using Terraform and ARM templates to enforce consistent and repeatable infrastructure deployments.
  • Integrated Azure DevOps pipelines with security scanning tools (SonarQube, Trivy) to ensure compliance with DevSecOps practices.
  • Leveraged Grafana and Azure Monitor to build real-time dashboards for infrastructure health, performance monitoring, and pipeline observability.
  • Collaborated cross-functionally with developers, QA, and infrastructure teams to standardize SDLC workflows and reduce time-to-deployment.
  • Created monitors, alarms, and notifications for EC2 hosts using Cloud Watch Monitored System Performance Managed Disk Space LVM (Logical Volume Manager) and performed system Backup and Recovery.
  • Managed Docker image repositories using Docker Registry and integrated security scans using tools like Clair and Trivy to identify and mitigate vulnerabilities in .NET applications.
  • Optimized Docker containers for .NET applications by implementing best practices in Docker networking, storage, and logging configurations to enhance application scalability and maintainability.
  • Collaborated closely with development teams to containerize legacy .NET applications, enabling a seamless migration from monolithic to microservices architecture.
  • Worked on AWS CloudWatch, CloudFormation, Cloud Trail services and CloudFront to set up and manage cached content delivery.
  • Implemented Azure cloud integrations of enterprise architecture using Active Directory, Azure Service Bus, Azure Storage, Hybrid Connection Manager, and Azure SQL server.
  • Configured Azure Cloud Infrastructure to take VM level backups using the ARM templates by creating groups and users using IAM and protect the VMs using Azure Backup vault.
  • Involved in Configuration Automation and Centralized Management with Ansible, and also Implemented Ansible to manage all existing servers and automate the build/configuration of new servers.
  • Involved in writing various Custom Ansible Playbooks for deployment orchestration and also developed Ansible Playbooks to simplify and automate day-to-day server administration tasks.
  • Experience in using builds tools like MAVEN for the building of deployable artifacts such as war & ear from source code. Application Deployments & Environment configuration using Puppet.
  • Orchestrated data processing and analytics workflows using Azure Synapse Analytics.
  • Collaborated with data engineers to design and implement data pipelines that ingested, transformed, and loaded data from various sources into Azure Synapse for business intelligence and reporting.
  • Utilized Azure Databricks to build scalable and performant data processing clusters, facilitating data exploration, machine learning, and data science initiatives.
  • Designed and implemented ETL processes to cleanse and transform data from ERP systems while maintaining data accuracy and consistency.
  • Implemented Docker health checks and logging mechanisms for .NET containers to ensure high availability and real-time monitoring of application health and performance.
  • Enhanced developer productivity by creating standardized Docker development environments for .NET applications, reducing setup time and inconsistencies across development and production environments.
  • Deployed and managed .NET applications on Kubernetes clusters, utilizing Helm charts for package management and makings sure there was consistent deployments across different environments.
  • Collaborated with ERP system administrators to extract data efficiently, making sure there was minimal impact on production systems during data extraction processes.
  • Automated the CI/CD pipeline for frontend applications using Azure.
  • Involved in integrating the GIT into the Puppet to ensure the integrity of applications by creating Production, Development, Test, and Release Branches.
  • Responsible for installing Jenkins’s master and slave nodes and also involved in plugin Git and schedule jobs using Poll SCM option and also Creating the build scripts using Maven for Java projects.
  • Configured OPA gatekeeper in Kubernetes to enforce custom resource policies, ensuring compliance with corporate security standards and regulations.
  • Implemented OPA with Terraform to automatically enforce infrastructure as code best practices and security guidelines during the deployment process.
  • Set up OPA as a sidecar to service mesh environments using Istio, providing fine-grained security controls over microservice interactions and data flow.
  • Automated compliance checks using OPA with CI/CD pipelines, integrating policy checks into Jenkins and GitLab CI for real-time policy enforcement on code commits.
  • Demonstrated expertise in provisioning and managing Azure Virtual Machines (VMs), tailoring resources to meet specific application requirements and workloads.
  • Employed Azure Virtual Machine Scale Sets to auto-scale applications based on demand, ensuring optimal performance and cost efficiency.
  • Engaged in creating and customizing VM images using Azure Custom Images and Azure Image Builder for standardized deployments.
  • Actively participated in configuring Azure Traffic Manager to achieve global load balancing and geo-redundancy for applications hosted in multiple Azure regions.
  • Installing and configuring F5 load balancer and firewalls with LAN/WAN configuration.
  • Experience in infrastructure architecture and design of complex distributed systems environments, including failover techniques, recovery/rollback, and application partitioning.
  • Configuring, automating and maintaining build and deployment CI/CD tools Git/GitLab, Jenkins, Build Forge, TeamCity, Docker registry/daemon, Nexus, and JIRA for Multi-Environment.
  • Strong knowledge of Infrastructure & Configuration Management tools like chef and Strong experience in chef cookbooks development.
  • Installed and upgraded servers using the security patches and service packs released.
  • Performed OS installations, OS Upgrades, and Server Patching by configuring PXE and DHCP server using Kickstart Configuration and by using Red Hat Satellite server.
  • Worked with application server platforms (WebSphere, Tomcat, JBoss).
  • Designed and executed performance test cases to validate performance requirements of VMware Platform using V-Realize.
  • Proficient in providing support on the deployed Red Hat Enterprise Linux & Sun Solaris servers from both operating system level and application Level.
  • Administered and managed Logical Volume Manager (LVM) in RHEL environment.
  • Experience in managing the Patches on Solaris servers using pkg updates, ABE (Alternate Boot Environment).
  • Creation of SAN File System on Red Hat Linux and Solaris OS, through physical HBAs as well as vHBAs.
  • Experience in Configuration and Administration of Apache Web Server and SSL.
  • Experience in Security auditing using Korn scripting, Python, ruby for day-to-day system administration.
  • Provided 24x7 on-call / Remote Support for UNIX Production Problems on a weekly rotation basis. And worked on opened tier-II support tickets for managing firewall clients to be updated.
  • Troubleshooting day-to-day server related issues and problems, Administration of repetitive Jobs using Cron scheduling, and using bash Scripts to accomplish the task on multiple servers.
  • Monitoring and kernel tuning for optimization, including Virtual Memory, CPU, RAID in Linux, and Solaris servers.
  • Utilized Oracle GoldenGate’s real-time data replication and integration capabilities to ensure seamless data synchronization across heterogeneous systems.
  • Enabled continuous data replication between Oracle databases and other data sources, such as relational databases, data warehouses, or cloud platforms.
  • Successfully designed and configured GoldenGate environments, setting up capture, propagation, and apply processes to achieve efficient and reliable data replication.
  • Developed Shell/Perl Scripts for automation purposes. And Responsible for versioning the source code, releasing binary files, creating and applying labels on source files and release files.
  • Troubleshooting Network, memory, CPU, swap and File system issues, TCP/IP, NFS, DNS, and SMTP in Linux servers.

Sr. Linux Admin / DevOps Engineer

AMEX
Phoenix
09.2010 - 02.2016
  • Designed and architected various AWS services like VPC, EC2, ASG, ELB, SNS, RDS, EBS,S3, Route 53, CloudWatch, CloudFormation, IAM.
  • Designed and engineered AWS Elastic Load Balancer to provide high availability and encryption using SSL/TLS certificates while distributing incoming traffic across multiple targets.
  • Configured security groups to control the inbound/outbound traffic to/from EC2, S3 instances and implement Access Control Lists (ACLs).
  • Implemented Auto Scaling Group for better fault tolerance, availability and effective cost management.
  • Engineering and administered Oracle standalone and RAC clustered (11g, 12c) database environments.
  • Developed functional process diagrams for Oracle database services.
  • Installed and configured Oracle 11g database on test servers using Oracle standard procedures.
  • Proactive monitoring of production OS/databases to find and identify potential issues.
  • Created Auto Scaling Group using launch template and launch configuration.
  • Automated and implemented EC2 deployment using Terraform/Ansible/AWS CLI and its features like aws ec2 describe-region, aws ec2 describe-volumes, aws ec2 describe-key-pairs, aws ec2 describe-snapshots, aws ec2 describe-instances, aws ec2 terminate-instances, aws ec2 create-security-group, aws ec2 modify-launch-template, aws ec2 allocate-address --domain vpc, aws ec2 release-address.
  • Hands on experience with Amazon Virtual Private Cloud, deployed RFC-1918 addresses with external IPs.
  • Engineered various types of AWS ELBs like Application Load Balancer, Network Load Balancer and Gateway Load Balancer.
  • Used Amazon CloudWatch Alarms and AWS CloudTrail Log monitoring tools to watch Amazon S3 and report any unusual activity.
  • Created, configured and worked with Amazon S3 buckets.
  • Managed IAM resources like users, groups, roles, policies and identity provider objects.
  • Used AWS CLI to create IAM users using commands like aws iam create-user, aws iam create-login-profile, aws iam create-access-key, aws iam attach-user-policy, aws iam delete-login-profile, aws iam delete-user.
  • Configured Amazon Simple Storage Service (S3) versioning and lifecycle policies in AWS, to backup files and archive files in Glacier.
  • Created custom routing tables for VPC and associated routing tables with an internet gateway to have precise control over the routing path of traffic.
  • Managed Docker registry that stores Docker Images, used commands like docker pull and docker run to pull images from the registry and worked with Docker Swarm and monitored containers using Prometheus tool.
  • Experience with Puppet, Ansible, Chef and Salt as System Configuration Tool.
  • Experience with Configuration Management automation tool Ansible and has worked on integrating Ansible YAML Scripts.
  • Implemented and designed AWS virtual servers by Ansible roles to ensure deployment of web applications.
  • Managed packages and services for Linux servers using playbooks written in YAML for Ansible.
  • Configured and deployed Chef Server/workstation and boot strapped its client nodes.
  • Installed and managed Docker containers using CLI commands docker like run, docker start, docker start, docker push, docker exec, docker commit, docker tag, docker inspect.
  • Created and maintained Docker file using variables like FROM, MAINTAINER, COPY, ADD, RUN, WORKDIR, ENV.
  • Responsible for patching and upgrading RHEL servers from 5.x to 5.11 and 6.x to 6.5.
  • RPM and YUM package installations, patch and other server management.
  • Experience in Shell scripting (bash, ksh) to automate system administration jobs.

Education

Bachelors - Engineering

University of North Carolina at Chapel Hill
Chapel Hill

Masters - Research

Virginia Tech

Skills

Cloud platforms: AWS, Azure, Google Cloud Platform

  • Container orchestration: Docker, Kubernetes
  • Configuration management: Chef, Puppet, Ansible
  • Continuous integration: Jenkins, Bamboo
  • Version control: Git, Subversion, Perforce, Bitbucket
  • Monitoring tools: Splunk, ELK, CloudWatch, Nagios
  • Application servers: WebLogic, Apache Tomcat, Red Hat JBoss, WebSphere
  • Networking protocols: DNS, DHCP, TCP/IP, NIS, NFS, SMTP, FTP, TFTP
  • Networking devices: Cisco routers and switches, Juniper
  • Programming languages: Python, C, C#, Shell scripting (Bash), YAML, JavaScript, Ruby, Perl, Groovy
  • PowerShell scripting

Certification

AWS Certified Associate SysOps Administrator

Timeline

Sr. DevOps Engineer / Data Engineer

Twitter Inc
02.2023 - 05.2025

Sr. System Engineer / DevOps Engineer

Tik Tok
12.2022 - 02.2023

Sr. System Engineer / DevOps Engineer

AT&T
03.2016 - 12.2022

Sr. Linux Admin / DevOps Engineer

AMEX
09.2010 - 02.2016

Bachelors - Engineering

University of North Carolina at Chapel Hill

Masters - Research

Virginia Tech

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Mohammed Khan