Nhat Pham

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Expertise & Skills

Linux administration
  • Exensive experience with administrative tools—GNU coreutils, systemd, bash, Ansible, networking tuning, networking security (SSH hardening, WAFs, mTLS).
Programming and scripting
  • Proficiency in Python for scripting, scientific computing, and data analysis.
  • Proficiency in Golang for performant scripting, and small web apps. Extensive experience with the AWS SDK for writing fast and efficient Lambdas, with experience in goroutines, structured logging, unit tests and benchmarking.
Orchestration and serverless
  • Experience with various orchestration tools, such as Docker, Docker Swarm, Docker Compose, HashiCorp Consul and Nomad, AWS EKS and ECS. Experience with container daemon security hardening, and container size optimisation.
GitOps and DevSecOps
  • Experience with writing CI/CD pipelines (GitLab/GitHub). Designed pipelines to build and test AMIs, build and push container images, run repetitive tasks to audit and correct GitLab project configuration as part of security remediation.
  • Proficiency in using Terraform for IaC and writing internal Terraform modules to enforce security non-negotiables. Deployed Atlantis for automating Terraform PRs, and integrated OpenTofu and OPA via conftest for policy checking into the workflow. Also wrote many rego policies for various AWS services.

Work Experience

Qube Research & Technologies (Jun 2024–Nov 2024)
Quantitative Technology Analyst (User-aligned Cloud Engineer)
  • Improved GitOps workflow with IaC and corrective tools via CI pipelines to automate GitLab repo creation and remediation with compliant configuration.
  • Worked closely with internal users to deploy and maintain multi-account, multi-region, large-scale infrastructure based on AWS EKS, Managed Airflow, AWS S3.
Qube Research & Technologies (Jun 2024–Nov 2024)
Quantitative Technology Intern (Cloud Platform and Engineering)
  • Built an observability stack using AWS Lambda, Kinesis and Apache Flink.
  • Improved developer workflow by refactoring a monorepo into a polyrepo structure, consolidate several interdependent Terraform modules into independent and neatly structured modules.
University of Birmingham (Jul 2023–Sep 2024)
Summer Research Student (School of Physics and Astronomy)
  • Worked in python and bash to construct data analysis pipelines for an astrophysics project, utilising pandas, numpy, matplotlib, seaborn. Used SLURM to submit jobs. Final results published in MNRAS.
University of Bristol (Jul 2023–Sep 2024)
Research Assistant (School of Physics)
  • Readapted a C++ codebase's build pipeline to successfully compile on a local CentOS 7 server. Updated Arduino firmware to interface with a power supply.