Senior DevOps Engineer - Cloud & Automation Specialist

Sindhu Pallapothu

DevOps Engineer

United States 913-***-**** ******************@*****.*** LinkedIn SUMMARY

DevOps Engineer with 4 years of experience building and maintaining high-velocity delivery platforms in cloud environments. Proven in automating infrastructure from code, launching containerised micro-services, and managing multi- region cloud deployments to support uptime. Deep hands-on expertise in AWS & Azure, Kubernetes, Docker orchestration, Terraform, Ansible infrastructure-as-code, and Git-based CI/CD pipelines. Known for driving release cadence improvements

(deployments per day), reducing infrastructure cost via cloud-usage optimisation, and embedding observability practices for proactive operations. Strong scripting background (Python, Bash, Golang) and a passionate collaborator bridging dev, ops and security teams to realize DevSecOps with eager to enable business agility, scalability and resilience. EDUCATION

Masters in Cyber Security University of Central Missouri SKILLS

Cloud & Infrastructure: AWS (EC2, Lambda, VPC, CloudWatch), Azure (AKS, Functions), Google Cloud Platform (GKE) IaC & Configuration Management: Terraform, AWS CloudFormation, Ansible, Chef Containers & Orchestration: Docker, Kubernetes (EKS, AKS, GKE), Helm, OpenShift CI/CD & Automation: Jenkins, Azure DevOps Pipelines, GitLab CI/CD, GitHub Actions, Maven/Gradle Version Control & Collaboration: Git, GitHub, Bitbucket, branching strategies, peer-code-review Monitoring & Logging: Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Datadog, Splunk Scripting / Programming: Python, Bash, PowerShell, Go, YAML/JSON templates Networking & Security: Linux, Unix administration, Windows Server, networking basics, IAM, DevSecOps practices Methodologies: Agile, Scrum, cross-functional collaboration, mentoring, driving continuous improvement EXPERIENCE

DevOps Engineer McKinsey & Company Mar 2025 – Present

• Developed modular Terraform templates and CloudFormation stacks to provision compute, network, and storage resources across AWS and Azure, ensuring repeatable, version-controlled infrastructure with complete drift detection.

• Implemented multi-stage CI/CD pipelines using Jenkins, GitHub Actions, and ArgoCD, automating build, test, containerization processes for microservices deployed on EKS and AKS, reducing manual release effort by over 60%.

• Led the migration of monolithic applications to containerized microservices using Docker, Kubernetes, and Helm, optimizing resource utilization, enhancing fault tolerance, and cutting deployment-related incidents by 50%.

• Established an end-to-end observability stack with Prometheus, Grafana, and ELK, building detailed dashboards and proactive alerting rules that enabled predictive issue detection and reduced MTTR by 40%.

• Automated system operations such as patching, scaling, and log archival using Ansible, Python, and Bash scripts, achieving consistent configuration management and freeing over 10 engineer-hours per week.

• Integrated security scanning, secrets management (Vault, AWS KMS), and policy enforcement into CI/CD workflows, embedding DevSecOps principles early in the development cycle to meet compliance requirements (SOC2, HIPAA).

• Collaborated with cross-functional teams to synchronize sprint deliverables, optimize branching strategies, and enable automated environment provisioning, improving release frequency from bi-weekly to daily. DevOps Engineer CueTech Systems Mar 2020 – Jun 2023

• Managed end-to-end migration of on-premise workloads to Azure Cloud, leveraging AKS, Azure Functions, and Application Gateway, reducing infrastructure costs and improving deployment scalability across environments.

• Engineered reusable Helm charts, Terraform modules, and YAML templates to standardize infrastructure deployments, enabling full environment parity and reducing onboarding time for new applications by 70%.

• Architected container-based CI/CD workflows using Azure DevOps Pipelines and GitLab CI, integrating automated code scanning, parallel testing, and blue-green deployments to achieve zero-downtime releases and faster rollbacks.

• Built a unified monitoring platform using Datadog, ELK, and OpenTelemetry, leveraging Golang for custom telemetry agents and pipeline automation; achieved real-time system visibility and accelerated root-cause analysis by over 80%.

• Automated disaster recovery and backup routines with Python, Azure CLI, and Boto3, designing scripts to validate failovers and achieve RTO < 20 minutes and RPO < 5 minutes, enhancing business continuity posture.

• Enforced cost governance and usage optimization by applying tagging standards, right-sizing EC2/VM instances, and leveraging spot/reserved instances, achieving sustainable 18% monthly savings without compromising reliability.

• Mentored junior DevOps engineers through hands-on sessions on container orchestration, Git branching, IaC workflows, and observability best practices, fostering a culture of ownership and operational excellence across teams.

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