Afiniti
Managed all the afiniti products deployments on the client's infrastructures.
DevOps Engineer
Open to full-time
Bio
Shaharyar Ahmed is a Senior DevOps Engineer with over 6 years of experience building CI/CD platforms, Kubernetes environments, and cloud automation across AWS and Azure. He works primarily with Terraform, CloudFormation, Docker, Kubernetes, Jenkins, and ArgoCD, building infrastructure-as-code pipelines and GitOps-driven deployment workflows. He has provisioned MLOps environments on AWS using Databricks, EKS, S3, and IAM, and deployed workloads across AKS, GCP, and local K3S clusters using Helm and Kustomize. His practice includes DevSecOps work such as static code analysis and vulnerability scanning with SonarQube, Dependency-Track, and Mend. At Afiniti, a CX AI company, he led a migration to Red Hat UBI-based containers with Podman to support FIPS compliance, and built an infrastructure monitoring tool on Grafana, Prometheus, and Node exporter for automated alerting. He also architected a deployment tool combining a Go CLI with Flask Python alongside an Ansible-based deployment manager. Earlier at nClouds, he managed AWS infrastructure migrations and container orchestration on ECS and Kubernetes for client environments. He holds a Bachelor's in Computer Systems Engineering and is AWS Certified Solutions Architect - Associate. He is well suited for infrastructure automation, Kubernetes platform, and CI/CD pipeline engagements.
Expertise
AWSKubernetesBashGitGoFlaskFast APIPythonSQL
Video Intro
Assessments
General Project Assessment
(81/100)- Great on Find the Length of the Longest Substring Without Repeating CharactersEasy
- Great on Design a Scalable and Compliant SaaS Platform ArchitectureHard
- Great on Strategize Microservices Deployment on AWS EKS for Peak Load ManagementHard
Projects
Eretailpoint (Online POS solution)
Provisioned the product on AWS cloud that provides POS services online to the customers
Experience
Senior DevOps Engineer
Afiniti· AI/MLNov 2022 — Jun 2026- Increased engineering productivity by 40% via AI-assisted SDLC practices using OpenAI GPT, Anthropic Claude, and GitHub Copilot, streamlining development, troubleshooting, automation, and documentation processes.
- Steered enterprise-wide DevSecOps adoption by integrating SonarQube and Dependency-Track into CI/CD pipelines, reducing security threats by 70% and establishing security assessment and remediation processes.
- Improved container security and compliance by migrating to Red Hat UBI-based containers and Podman, while embedding SonarQube and Mend scans into automated delivery pipelines, reducing 60% deployment security risks.
- Delivered end-to-end cloud MLOps solutions by provisioning AWS infrastructure with Terraform, orchestrating Databricks and EKS clusters, and enabling secure, monitored AI/ML deployments using S3 and IAM.
- Successfully deployed migrated applications across Azure Kubernetes Service (AKS) and Google Cloud Platform (GCP), augmenting system flexibility, scalability, and multi-cloud resilience.
- Designed and implemented scalable local infrastructure using K3S clusters and MetalLB, reducing environment setup time while enhancing reliability, service discovery, and load balancing for development workflows.
- Architected GitOps-driven Kubernetes deployment supporting 50+ microservices and upgrade automation using Helm, Jenkins, and ArgoCD, reducing manual deployment effort by 90% while increasing release consistency and deployment reliability across environments.
- Directed the development of robust Ansible-driven automation pipelines for configuration management, reducing manual intervention, improving compliance adherence, and increasing infrastructure delivery speed.
- Architected a centralised deployment framework using Helm as a single source of truth and Jenkins-based CI/CD automation, enabling fast, reliable, and maintainable microservice deployments across clients.
- Designed and implemented an end-to-end deployment architecture integrating a Go-based CLI tool, Flask-powered API service, Ansible automation, and GitOps workflows, improving release speed and operational consistency.
- Led the execution of a centralized observability platform using Prometheus, Grafana, and Node Exporter, reducing incident detection and troubleshooting time by 65% while improving platform reliability and operational visibility.
TerraformGOLangDockerKubernetesJenkinsArgoCDGITBitbucketAWSAzureGCPLinuxBashDevOps Engineer
Nclouds· Enterprise & SaaSOct 2021 — Oct 2022- Orchestrated Infrastructure-as-Code deployment strategies on AWS using Terraform and CloudFormation while enforcing CI/CD automation through Jenkins, GitLab, CircleCI, and AWS CodePipeline.
- Reduced client AWS infrastructure costs by conducting a Well-Architected Framework Review (WAFR), identifying over-provisioned resources, and implementing right-sizing strategies with automated scaling policies.
- Enhanced containerised infrastructure using Docker, AWS ECS, and Kubernetes, ensuring robust orchestration, high availability, and efficient resource utilisation across production systems.
- Transformed legacy infrastructure environments by implementing automation scripting in Bash, Batch, and Python to enable efficient and reliable migration of on-premise DB and application servers to AWS Cloud.
- Migrated high-risk enterprise data by engineering a Python batch-processing service that reliably transferred millions of on-prem database records to AWS RDS with continuous validation and error-controlled logging.
- Reinforced infrastructure resilience and visibility by executing AWS Well-Architected Framework Reviews and implementing monitoring stacks using Datadog, Prometheus, Grafana, RabbitMQ, and QuickSight.
AWSAzureTerraformPythonJenkinsCircleCIGitLabSonarQubeDependeny-TrackSASTSCACheckmarxDevOps Engineer
Eurus Technologies, Pakistan· Enterprise & SaaSJul 2021 — Oct 2022- Architected, implemented, and optimised enterprise-grade CI/CD pipelines to automate software delivery workflows, significantly reducing deployment time and improving release efficiency.
- Engineered and provisioned scalable infrastructure solutions using Terraform, Ansible, and CloudFormation to enforce consistency, automation, and enterprise-grade reliability across environments.
- Redefined system reliability and compliance posture by implementing integrated logging, monitoring, and security best practices using Prometheus, Grafana, ELK stack, and advanced security scanning technologies.
pythonJenkinsKubernetesDockerDevOps Engineer
SMSAMI, Pakistan· GovTech & LegalTechJan 2020 — Jun 2021- Developed automated mobile deployment pipelines using Jenkins to streamline releases across App Centre, Google Play Store, and iTunes Connect, reducing manual deployment effort and improving release consistency.
- Drove cloud infrastructure standardisation on AWS by implementing CloudFormation-based deployments and managing resources through the AWS Console for operational control and visibility.
- Empowered DevOps transformation initiatives through strategic CI/CD implementation leveraging Jenkins, GitLab, and AWS CodePipeline for high-frequency, low-risk deployments.
AWSCloudFormationPHP, yi2 framworkReactPythonJavaScript
Education
Bachelor Of Science Computer System Engineering
University of Engineering and Technology, PeshawarPakistan2015 — 2019
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DevOps Engineer
Pakistan · 4+ years experience
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