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Malt Strategy
Fayaaz AhmedFA

Fayaaz Ahmed

DevOps Engineer

€521/day
London, GB
8-15 years
Linux
Docker
Amazon Web Services
Kubernetes
Python

Average response time: 1 hour

About Fayaaz

DevOps engineer with deep expertise in all things cloud, linux and containers. In 12 years I've worked in many different industries including aerospace, energy, cybersecurity and machine vision. I have delivered infrastructure, both in the cloud and on prem, from scratch, migrated to the cloud and migrated to on prem across a variety of clouds (mostly AWS) and utilizing different deployment frameworks such as Kubernetes and serverless architecture.

Alongside my infrastructure experience I am more than comfortable writing production quality backend code with multiple years of experience in Python.


Expert in:
- Cloud infrastructure
- Containerization technologies
- SDLC (especially CI/CD and build-release)
- Linux Administration

  • English

    Native or bilingual

Can work on-site
London (up to 20km), Didcot (up to 10km)

Experience

  • Censornet,
    DevOps Engineer
    DIGITAL AND IT
    October 2022 - March 2025 (2 years and 5 months)
    DevOps Engineer for scale-up cybersecurity company
    - Kubernetes cluster administration and EKS setup using Terraform
    - Managing migration of dev cluster from on-prem to AWS EK
    - Migration of Gitlab CI/CD to cloud with as little interruption to developers as possible
    - Using Terraform for infrastructure-as-code to create and update infrastructure in AWS. Including EKS, Route53, Cloudfront, S3, EFS
    • Using EKS and cluster addons to automatically leverage AWS infrastructure, e.g. Load Balancers, EBS/EFS
    • Planning and executing production upgrades of EKS clusters with minimal downtime
    • Creating and maintaining Helm charts alongside developers
    • Configuring and administering Calico and Istio on top of EKS
    • Creating, upgrading and maintaining build pipelines making use of docker and docker-buildx
    { AWS Lambda application deployment
    • Deployed through Gitlab CI using Terraform IAC
    - Technologies used: AWS Lambda, SQS, SNS, IAM, S3, Docker, VPCs and transit gateways
    - Automating deployment processes of customer gateways
    - EC2 deployments using Ansible to deploy EC2 instances, VPC and Load balancers
    DevSecOps
    • Automating pen-tests and scans with OWASP nettacker
    • Building automated container security scans in Gitlab CI
    Kubernetes Amazon Web Services Istio Terraform Docker
  • Zegami
    DevOps Engineer
    May 2021 - September 2022 (1 year and 4 months)
    Oxford, United Kingdom
    • Maintaining and improving the CI/CD processes and infrastructure used to run an imaging machine vision platform on Kubernetes

    • Writing production python code and reviewing pull requests
    • Porting the platform to AWS and on-premise hardware for customers
    • Technologies used: Python, Kubernetes, Azure AKS, AWS EKS, MongoDB, PostgreSQL, Flask, Docker and docker-compose.
    -Working Agile with sprint boards, epics and retrospectives.


    Project: Machine Learning Ops
    • Setting up CI/CD for small machine learning projects including pipeline to build models and run inference.
    • Setting up Kubeflow, MLFlow and Azure ML to test feasibility
    • Technologies used: Kubernetes, Github Actions, Building models on GPU servers


    Kubernetes Microsoft Azure Jenkins Python Terraform
  • Piclo,
    DevOps Engineer
    ENERGY AND UTILITIES
    April 2017 - May 2021 (4 years and 1 month)
    London, UK
    DevOps Engineer for a startup building a renewable energy platform.
    • Building out infrastructure-as-code (Ansible) for Picloflex web application primarily on AWS.
    • Application composed of serverless microservices behind API Gateway, with multiple stages (production, QA etc.) with extensive use of AWS services including Lambda, API Gateway, IAM, RDS, Cloudwatch,
    SNS, SES, S3, Cloudfront, X-Ray.
    • Creation of CI/CD pipeline in CircleCI (and move to Github Actions) to test, build and deploy changes
    to the code base
    • Writing production python code with high-coverage tests and strict rules on code quality
    • Main technologies used: Ansible, Python, Django, RDS, AWS Lambda, Docker, Docker compose,
    Ubuntu, AWSLinux, Sentry

    PicloEngage - building a web application for energy matching:
    - Taking over infrastructure, rewriting and updating Ansible playbooks for continuous integration and deployment of web application comprised mainly of RDS, EC2 and ELB.
    - Writing production python code.
    Serverless Django Python Ansible Docker
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Education

  • B.A Physics
    University of Oxford
    2012
  • GCSE and A Levels
    Abingdon School
    2009
    GCSE and A Levels

Skill set

CI/CD Management
Cloud Administration
Containerization and Virtualization
Infra as Code
Microservices Architecture
Serverless Computing
Scripting Automation
Batch Processing
Cloud Platforms and Infrastructure
Database Management (e.g., SQL, NoSQL)
Data Migration and Backup
Backend Service Development
Packaging
SRE Principles
DevSecOps
Risk and Vulnerability Assessment
System Integration
Agile Project Management
Microsoft Azure
Jenkins
Serverless
Django
Ansible
Istio
Terraform
Virtualisation
VMWARE
HPC

Categories