Ali Malik

Experience

• 

  MedXL Pharma

  Jun 2015 - Aug 2015

  Software Engineer

  ● Enhanced the company's website aesthetics by designing logos, trademarks, banners, and icons using Adobe Photoshop and Illustrator.● Collaborated with the design team to create a mobile-first, responsive website based on competitor research to enhance customer experience using HTML, CSS, and JavaScript.● Streamlined the documentation process by curating 25+ templates for prescriptions, patient forms, and payment plans using Adobe InDesign.● Ensured transparency and project organization by communicating updates to management and documenting all web and design revisions in JIRA. Show less

• 

  AMD

  Jun 2020 - Dec 2020

  Server Performance Engineer

  ● Designed a C++ application to compare memory function optimization between AOCC and GCC compilers, identified up to a 17% decrease in execution time for C library memory functions on Intel and AMD servers.● Collaborated with engineering teams to resolve the memory function slowdown issue, patched with the addition of the first-ever library optimized for memory and string functions in AOCL 3.2 ● Conducted testing and evaluated the AOCC compiler on AMD EPYC and Intel Cascade Lake Severs and identified multiple cache-related performance issues causing up to 31% decrease in execution time on string functions.● Recognized by leadership for server optimization, earning a 4-month internship extension. Show less

• 

  LiveRamp

  Jun 2021 - Jul 2023

  ● Participated in the technical effort by optimizing cloud infrastructure and automating tasks for cloud management and DevOps tools, creating and maintaining secure environments while reducing costs.● Created IaC to migrate 50+ internal and acquired companies' AWS accounts to Terraform in one AWS Organization, enabling central governance, version control, clear security, and $18,000/mo savings with org discounts.● Implemented AWS Single Sign-On (SSO) and Terraform-managed IAM roles, enhancing security, requiring permission changes through pull requests, and reducing JIRA and Okta AWS-related access requests by 90%.● Collaborated across teams, including SRE, Security, and IT, to optimize cloud infrastructure, roll out automation, and implement best practices, like GCP Workload Identity, which reduced permission-related JIRA requests by 6%.● Utilized Docker and Kubernetes for automation when developing a Python program to manage over 1,000 GCP projects, finding $78,000/month in misallocated costs and enhancing project management efficiency.● Automated the validation of GCP and AWS projects and tags using GitHub webhooks and the gcloud CLI, ensuring accurate tagging for team, region, env, PII, etc, to prevent misallocated costs and security breaches.● Implemented CI/CD pipelines using Jenkins, Spinnaker, and Terraform for over 5 DevOps tools while diagnosing CI/CD issues in production and development for multiple development teams while on call (OC).● Successfully resolved five P0 outages, including addressing GCP and Consul issues, and restored 2 critical projects lost due to deletions by teams misusing Terraform, ensuring system stability and minimizing downtime.● Seamlessly migrated critical services, including Consul, Vault, and Secrets Loader, from running on N1 to N2 nodes with zero downtime, achieving a 25% boost in memory per vCPU and a 20% improvement in workload performance. Show less ● Led the complete Software Development Life Cycle (SDLC) for a Python program, converting team usage data from the DataDog API into costs stored in BigQuery using SQL and charts in Tableau, resulting in $20,000/mo in savings.● Assessed functional requirements and limitations while researching cloud providers like Snowflake and monitoring solutions such as LogDNA, DataDog, and GCP Cloud Logging for scalability, performance, and cost savings.● Collaborated with SRE, Data Engineering, Development, and Product teams to upgrade the company's machine types from N1 to N2, achieving a 13% cost reduction and up to a 39% performance improvement.● Utilized Python HTTP requests to scrape team usage data from LogDNA and automated the storage and visualization of the data in BigQuery and Tableau using Docker and Kubernetes, resulting in a $5,000/mo in savings.● Investigated rising costs from metrics providers and identified unnecessary custom metrics generated on specific hosts, by adjusting tags reduced custom metric generation by 94%, and saved $30,000/mo. Show less

  • DevOps Engineer

    Nov 2021 - Jul 2023

  • DevOps Engineer

    Jun 2021 - Nov 2021