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Ali – AWS, Kubernetes, Terraform, experts in Lemon.io

Ali

From Australiaflag

DevSecOps|Strong senior

Ali – AWS, Kubernetes, Terraform

Ali is a Senior DevOps Engineer with 20+ years in software, cloud, and automation, including 12 years in DevOps and 6+ years in AWS. He has led large-scale infrastructure redesigns, built Terraform-driven automation, and standardized HPC and Kubernetes environments with strong networking, service mesh, and IaC practices. Articulate, humble, and collaborative, Ali emphasizes clear direction and effective teamwork. Ali's leadership, pragmatic automation mindset, and cloud engineering maturity make him a strong fit for Senior DevOps roles.

20 years of commercial experience
Main technologies
AWS
6 years
Kubernetes
5 years
Terraform
6 years
Azure DevOps
3 years
Additional skills
Python
Direct hire
Possible
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Experience Highlights

Infrastructure Technical Architect
May 2024 - May 20251 year
Project Overview

This project focused on running and optimizing high-performance computing (HPC) workloads. It involved designing scalable infrastructure, handling large-scale data processing, and enabling efficient resource utilization for computationally intensive tasks such as simulations, modeling, and advanced analytics.

Responsibilities:

Ali was responsible for the following:

  • deployed and automated HPC clusters for CryoSPARC and Posit Workbench;
  • integrated S3 with FSx Lustre for high-performance storage;
  • leveraged RDS for backend databases and event-driven Lambda functions for operational automation (e.g., auto-expanding EBS volumes);
  • supported large-scale scientific workloads with secure, cost-optimized cloud storage and compute strategies.
Project Tech stack:
Amazon S3
Ansible
Terraform
Amazon EC2
Amazon RDS
AWS CloudFormation
Infrastructure Technical Architect
Aug 2023 - Aug 20241 year
Project Overview

The main goal of this project was building a secure, compliant, and well-governed AWS environment. It involved defining cloud security policies, implementing identity and access management controls, ensuring compliance with industry standards, and automating governance practices to safeguard sensitive data and resources.

Responsibilities:

The main scope included, but was not limited to the following:

  • collaborated with enterprise IT governance teams to establish multi-account AWS structures across dev/QA/prod;
  • implemented Service Control Policies (SCPs), encryption standards with AWS KMS, and centralized logging/monitoring for audit compliance;
  • enabled secure workload deployment while aligning with CIS benchmarks and industry regulatory requirements;
  • built hardened AMIs with Packer;
  • reduced environment build times from weeks to hours, enabling consistent, reproducible infrastructure deployments across global regions.
Project Tech stack:
Terraform
AWS
DevOps Development Lead
Dec 2022 - Dec 20231 year
Project Overview

The Secure and Scalable AWS EKS Platform project focused on designing and implementing a Kubernetes-based container orchestration platform on AWS. It emphasized scalability, resilience, and security by integrating best practices in IAM, networking, monitoring, and automation, enabling teams to efficiently deploy, manage, and scale containerized applications.

Responsibilities:

Among others, the contributions included:

  • designed and automated a private-only EKS cluster with Cilium for pod networking and fine-grained network policy enforcement;
  • implemented monitoring and alerting for EKS clusters;
  • worked on the setup of Jenkins CI and other release management tooling on the EKS cluster;
  • worked on the setup of Azure Entra ID SSO and OIDC app registrations for SSO capability for CI and release management tooling;
  • worked on set up of secure ECR repositories with enhanced scanning using AWS Inspector for real-time vulnerability assessment for all container images being used throughout the EKS cluster components and tooling.
Project Tech stack:
Kubernetes
Helm
Terraform
AWS
Grafana
Prometheus

Education

2005
Computer Science
BS (Major in Computer Science)

Languages

English
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