Experience

Cloud-native DevOps and MLOps ownership for production Kubernetes platforms on AWS, supporting multiple engineering teams and ML workloads.

• • Owned and operated production CI/CD platforms for Java and containerized workloads using Jenkins, GitHub Actions, Docker, and Kubernetes — improving build and deployment efficiency by ~20%.
• • Led containerization and Kubernetes orchestration of microservices across teams, improving deployment consistency, scalability, and runtime reliability.
• • Designed and automated AWS infrastructure provisioning using Terraform and Ansible, enabling secure, reproducible, and scalable environments.
• • Architected Kubernetes networking and ingress using ALB, Route 53, and cert-manager with automated TLS management.
• • Established IaC-first and GitOps workflows, improving collaboration, auditability, and environment parity across development and production.
• • Designed and implemented end-to-end MLOps workflows covering model versioning, containerization, deployment, inference serving, scaling, and lifecycle management.
• • Deployed ML inference services on Kubernetes using both custom Flask/Gunicorn setups and KServe, evaluating trade-offs in scalability and operability.
• • Implemented secure ML workflows on AWS SageMaker, applying IAM role separation and enterprise security controls.
• • Integrated continuous security scanning into CI/CD pipelines (Trivy, AWS Inspector), reducing critical vulnerabilities by ~35%.

DevOps engineering for security-sensitive, customer-facing applications running on AWS and Kubernetes.

• • Supported and secured production Kubernetes environments, applying GitOps practices with Argo CD for declarative deployments.
• • Designed and operated CI/CD pipelines for automated build, test, and release workflows.
• • Implemented observability and monitoring using Prometheus and Grafana, improving production visibility and incident response time.
• • Deployed and managed centralized logging using the ELK stack.
• • Implemented rolling and blue-green deployments, enabling zero-downtime releases.
• • Participated in incident response, root cause analysis, and remediation for production systems.
• • Conducted vulnerability assessments and coordinated patch management.

Remote DevOps support for distributed teams across CI/CD, Kubernetes, and cloud automation.

• • Led migration from monolithic applications to containerized microservices using Docker and Kubernetes.
• • Designed and maintained CI/CD pipelines with Jenkins and GitHub Actions.
• • Built reusable Terraform modules, accelerating infrastructure provisioning.
• • Implemented Kubernetes security controls including RBAC, secrets management, and network policies.
• • Adopted GitOps-based delivery using Argo CD.
• • Implemented monitoring and alerting using Prometheus, Grafana, and Alertmanager.
• • Managed Helm charts for standardized deployments.

• • Designed and migrated customer workloads to AWS, improving scalability, availability, and security posture.
• • Architected secure, highly available AWS solutions for public-facing applications.
• • Implemented IAM roles, policies, and least-privilege access controls.
• • Collaborated with stakeholders to define cloud architecture standards and best practices.

• • Provided AWS and Linux system administration support for enterprise environments.
• • Supported large-scale data ingestion and ETL pipelines (Kafka, Spark, Hive, Sqoop).
• • Automated deployments using AWS CodePipeline and CodeDeploy.
• • Managed S3, IAM roles, and access policies.
• • Acted as Hadoop SME within the support team.