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Uma A - Gen AI DevOps Engineer

[email protected]

Location: Arlington, Virginia, USA

Relocation: Yes

Visa: H1B

Resume file: Uma_M_ Resume_1770147752316.docx Please check the file(s) for viruses. Files are checked manually and then made available for download.

Experienced in architecting and operating multi-cloud platforms across AWS, Azure, GCP, OCI, and Digital Ocean with cloud-agnostic, portable infrastructure patterns. Specialized in Kubernetes (AKS/EKS/GKE) and cloud native infrastructure, with proven expertise in Terraform, Ansible, Helm, Docker, and container based test environments. Strong background in end to end observability and monitoring using Prometheus, Grafana, ELK Stack, Dynatrace, Datadog, CloudWatch, and Azure Monitor, enabling proactive alerting, anomaly detection, and reduced MTTR. Experienced in managing Windows workloads, PowerShell automation, Azure CLI operations, and integrating analytics platforms like Power BI into Azure cloud environments. Strong knowledge of Azure governance, cost optimization, compliance policies, hybrid identity, Azure Arc concepts, and Sentinel-based monitoring integrations. Specialized in multi-cluster, multi-cloud Kubernetes architectures, including service mesh, operators, CRDs, and advanced workload scheduling. Experienced in security and compliance automation, including secrets management (Vault, AWS Secrets Manager, Key Vault), vulnerability scanning (Snyk, Trivy, Veracode), and SBOM/compliance frameworks (SOC2, PCI DSS, HIPAA) to ensure secure, audit ready deployments. Strong background in backend engineering and Agentic AI systems, including C#/.NET agent-based architectures (Optimizer, Planner, Reporting), domain models (ActionLog, ResourceDetails, IResource, Output Contracts), and JSON schema design for validation and interoperability across microservices. Skilled in workflow orchestration with cloud APIs, asynchronous processing, and integration workflows. Extensive experience designing and maintaining Jenkins-based CI/CD pipelines using declarative and scripted Jenkinsfiles. Extensive hands-on experience with GitLab CI/CD, designing and maintaining complex multi-stage pipelines using gitlab-ci.yml for build, test, security scan, and deployment workflows Developed reusable GitLab CI templates and includes, enabling standardization across multiple repositories and teams Implemented branch-based and environment-based pipelines (feature, develop, release, main) with approval gates and protected branches Built dynamic pipelines using rules, workflow conditions, variables, and child pipelines to optimize execution time and cost Strong expertise in agentless configuration management using Ansible playbooks and roles. Hands-on experience implementing GitOps practices, using Git repositories as the single source of truth for infrastructure and application deployments. Proven ability to automate build, test, and deployment workflows across development, testing, staging, and production environments. Experienced in automating AWS EC2 infrastructure and Security Group configurations through CI/CD pipelines. Hands on expertise in CI/CD pipelines (GitHub Actions, Azure DevOps, Jenkins, GitLab CI), YAML pipelines, branching strategies, code quality gates, and automated testing. Skilled in scripting (Python, Bash, PowerShell) and hybrid workload optimization, with a track record of building resilient, cost optimized enterprise solutions. Extensive experience in databases and state management, designing MongoDB schemas, implementing Azure Table Storage, and leveraging MongoStateStore and Azurite for CI/CD validation. Automated backup and restore strategies and developed data contracts to ensure consistency across distributed systems. Proficient in infrastructure automation with Terraform modules, ARM/Bicep templates, and Ansible playbooks, enabling reproducible deployments of Azure VMs, AKS, Storage, IAM, and container-based test environments. Skilled in Docker containerization, Helm chart management, Linux administration, and Nginx load balancing for high availability workloads. Strong expertise in observability and monitoring, configuring Prometheus, Grafana, ELK Stack, CloudWatch, and Azure Monitor to deliver proactive alerting, anomaly detection, and reduced MTTR. Experienced in alerting workflows (PagerDuty/xMatters) and designing multi cloud observability strategies. Hands on scripting and automation with Python, Bash, and PowerShell, integrating scripts into CI/CD pipelines for provisioning, validation, log analysis, and reporting. Recognized for building resilient, cost optimized, and compliant enterprise solutions with a focus on security, governance, and performance optimization. Proven ability to design and document complex architectures, authoring Markdown documentation, integration flow diagrams, and data contracts, while leveraging GitHub Copilot Chat, Visual Studio/VS Code, and static analysis tools to accelerate development and enforce coding standards. Keywords: csharp continuous integration continuous deployment artificial intelligence business intelligence