Bahzad Khan

Senior DevOps Engineer

About

Senior DevOps Engineer with 9+ years of hands-on experience optimizing cloud infrastructure across AWS, Azure, and GCP, implementing continuous integration/delivery (CI/CD) pipelines, and automating critical workflows. Expertise in AWS CloudFormation, Azure DevOps, GCP Kubernetes Engine, Terraform, Kubernetes, and CI/CD best practices, delivering scalable and cost-effective solutions. Proven track record of driving automation, improving system reliability, and enhancing observability for large-scale, high-availability environments. Strong leadership in multicloud DevOps transformations, managing cross-functional teams, and mentoring engineers. Technical Skills: • Cloud Platforms: AWS (EKS, EC2, Lambda, RDS, SageMaker, WAF), Azure (Azure DevOps, AKS, Azure Kubernetes Service, Azure Key Vault, Azure Networking, Azure RBAC), GCP (GKE, Cloud Run, BigQuery) • MLOps & Machine Learning: Kubeflow, MLflow, TensorFlow, PyTorch, Docker for ML, Model Deployment & Monitoring, Data Versioning with DVC, Model Optimization, Hyperparameter Tuning, Model Retraining, A/B Testing • Containerization & Orchestration: Kubernetes, Docker, Helm, ArgoCD, FluxCD, Istio, Linkerd, Consul • Infrastructure as Code (IaC): Terraform, Terragrunt, Pulumi, CloudFormation, Bicep • CI/CD & Automation: Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps, Ansible, CircleCI • Monitoring & Observability: Prometheus, Grafana, ELK, Datadog, OpenTelemetry, CloudWatch, Jaeger • DevSecOps & Security: IAM, KMS, Vault, Secrets Manager, Cloud-Native Security, Runtime Protection, Compliance (SOC 2, HIPAA, FedRAMP) • Programming & Scripting: Python, Bash, Go, Ruby, YAML, JSON • Databases & Messaging: PostgreSQL, DynamoDB, Redis, RabbitMQ

Country

United States

City

Prospect Park

Industry

Information Technology & Services

Skill

DevOps, Amazon Web Services (AWS), MLOps, Google Cloud Platform (GCP), Azure DevOps Services

Experience

Senior DevOps Engineer

BBrown

2023-4 - Present · 3 yrs 6 mos

Remote

● Managed Azure DevOps Services streamlining version control, artifact storage, and deployment automation for improved collaboration and code quality across cross-functional teams. ● Engineered and optimized Azure infrastructure to ensure secure, scalable, and high-performance cloud solutions. ● Designed and implemented secure, scalable CI/CD pipelines using Azure DevOps Services (Pipelines) and GitHub Actions, automating deployment processes for multiple applications in a fast-paced environment. ● Improved infrastructure monitoring by integrating Prometheus and Grafana, achieving a 70% reduction in incident response time through automated alerts and dashboards. ● Led incident response, root cause analysis, and production support efforts, providing rapid resolutions to critical production issues while ensuring system stability and minimal service disruptions. ● Mentored junior team members and defined DevOps best practices, including creating runbooks and architecture patterns, while contributing to the onboarding of AWS DevOps practices as part of a multi-cloud strategy.

DevOps Engineer

Carmel Solutions

2020-1 - 2023-3 · 3 yrs 3 mos

● Designed and implemented fully automated CI/CD pipelines using Jenkins, GitLab CI, and Docker, reducing manual deployment errors by 80%. ● Implemented secure secret management using Azure Key Vault, OIDC, and CI/CD pipeline integrations to safeguard sensitive information and maintain compliance with security policies. ● Deployed and orchestrated containerized applications in Azure Kubernetes Service (AKS), leveraging Docker and Helm for packaging, scaling, and managing applications in a cloud-native architecture. ● Increased deployment frequency by 2x by introducing automation and best practices for CI/CD, leading to faster feature rollouts and improved customer satisfaction. ● Automated patch management for over 100 servers using Ansible, cutting manual intervention by 75%.

Junior DevOps Engineer

inDrive

2016-10 - 2019-12 · 3 yrs 3 mos

● Worked on setting up monitoring and alerting using CloudWatch, reducing system downtime by 20%. ● Implemented Docker containerization to ensure consistent dev-to-prod environments and reduce mismatches. ● Automated deployments with development teams, optimizing workflows for security and scalability. ● Supported Jenkins CI/CD pipeline setup, automating testing and deployment processes to improve code quality and delivery speed