Srinivas N

DevOps Engineer

United States3 yrs 6 mos experience

Key Highlights

Expert in cloud infrastructure and automation.
Proven track record in CI/CD pipeline optimization.
Significant cost reduction achievements in cloud environments.

Stackforce AI infers this person is a Cloud Infrastructure and DevOps expert with a focus on automation and cost optimization.

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Skills

Core Skills

DevopsCloud ComputingAiops

Other Skills

ASP.NETAWSAWS CloudFormationAWS CodePipelineAWS Command Line Interface (CLI)AWS Elastic BeanstalkAWS Identity and Access Management (AWS IAM)AWS InspectorAWS LambdaAWS SecurityAmazon EBSAmazon EC2Amazon S3AzureAzure DevOps

About

Never would I have imagined that a simple curiosity about how things deploy "behind the scenes" would grow into a deep passion for cloud infrastructure and automation. During my early days working on cloud and deployments, I found myself far more fascinated by how systems scale, how pipelines run, and what makes modern infrastructure resilient and smart.This curiosity led me to dive deep into Cloud and DevOps, and over time I found myself setting up entire systems from provisioning infrastructure to automating deployments and ensuring high availability. One of the most exciting moments for me was connecting frontend, backend, and databases seamlessly both locally and on Azure Web Apps. I’ve enjoyed every part of it.In my journey, I’ve worked across Azure and AWS, building automated CI/CD pipelines with Jenkins, Azure DevOps, and Terraform. I’ve migrated systems, created multi-account AWS environments with strong security practices, reduced cloud costs significantly, and automated countless processes with Python, Bash, and PowerShell. Along the way, I’ve grown more interested in AIOps making systems not just automated, but intelligent.Now, I’m driven to explore the future of intelligent cloud systems

Experience

Kla

Software Engineer - DevOps

May 2025 – Nov 2025 · 6 mos · San Francisco Bay Area

Automated end-to-end VM provisioning in VMware vSphere by engineering Jenkins pipelines that captured user inputs, pulled Terraform IaC modules, deployed VMs from Packer-built templates, and executed post-deployment configuration scripts reducing provisioning time by 70% and lowering change-related rework by 22%.
Developed a Packer-based golden image pipeline for Windows Server with embedded CIS baselines and required tools to deliver secure, compliant, and standardized VM templates, reducing configuration drift by 28%
Built automated CI failure analytics by storing pipeline errors in a database and visualizing insights in Grafana improving debugging speed by 40% and increasing release throughput by 25% through faster root-cause isolation.
Engineered and supported GCP cloud migration projects transitioning legacy workloads to cloud platforms, improving platform reliability by 40% and reducing operational overhead.

JenkinsTerraformVMware vSphereGCPGrafanaDevOps+1

University of cincinnati digital technology solutions

DevOps, AIOps and HPC Engineer

Nov 2024 – May 2025 · 6 mos · Cincinnati, Ohio, United States · On-site

Architected and deployed Sitefinity 15.3 in hybrid mode—configuring the backend CMS on ASP.NET Framework 4.8, the frontend via ASP.NET Core Renderer, integrating SQL databases, validating the setup on IIS Express & IIS for Sitefinity, and successfully deploying the full CMS + Renderer + DB stack to Azure Web Apps.
Designed and implemented Azure DevOps Pipelines integrated with GitHub source control, enabling automated builds, testing, and deployments for .NET applications and improving delivery speed and reliability across environments.
Diagnosed and resolved critical application issues in MedUC, reproducing defects locally, validating behavior across IIS Express and IIS, and documenting repeatable resolution steps for developers and support teams.
Fixed publishing-profile and deployment failures by rebuilding Azure DevOps service connections for Dev/QA, updating YAML pipelines, and verifying stable, repeatable deployments in Azure.
Developed PowerShell automation scripts to identify unused domains, stale configuration entries, and Azure database metadata—improving cost visibility, resource hygiene, and operational governance.
Delivered a migration proof-of-concept from Bamboo to Azure DevOps, demonstrating full CI/CD modernization, pipeline-as-code practices, and seamless migration paths for legacy build systems.
Performed end-to-end Azure cloud migration, moving databases from on-prem/local environments to managed Azure services and validating connectivity across CMS, Renderer, and DB layers for a complete cloud-first deployment

AzureASP.NETSQLPowerShellGitHubDevOps+1

Cisco

Cloud and DevOps Engineer

Apr 2023 – Aug 2024 · 1 yr 4 mos · Hyderabad, Telangana, India · Remote

Engineered Python and Shell-based automation frameworks that eliminated repetitive operational tasks and optimized CI/CD workflows, reducing deployment time by 40% and increasing overall pipeline reliability.
Led end-to-end cloud infrastructure automation across AWS and Azure using Terraform, Docker, and Kubernetes, enabling standardized provisioning and improving deployment efficiency by 40% across global environments.
Designed and implemented secure multi-account AWS architectures leveraging AWS Inspector, GuardDuty, and Trusted Advisor, strengthening cloud posture and improving security compliance by 50% across production workloads.
Built multi-region, fully automated deployment pipelines in Jenkins, reducing deployment time by 67% (24 → 8 minutes) and enabling simultaneous releases across 5+ global regions.
Orchestrated high-throughput application deployments using Amazon EBS, CloudFormation, and autoscaling capabilities, improving system performance and resilience by 80% for 10+ mission-critical applications.
Enhanced observability and security by enabling full-stack logging of AWS activities and implementing structured API logs, reducing undetected security events by 40% and improving audit readiness.
Partnered with Data Engineering teams to design and automate ETL workflows using AWS Glue, increasing data processing throughput by 30% and supporting scalable data pipelines for analytics workloads.
Administered and optimized core AWS services including RDS, Route53, VPC, DynamoDB, EBS, SES, and SNS, supporting 40+ AWS accounts and improving architecture standardization and operational visibility.

PythonShellTerraformDockerKubernetesCloud Computing+1

Stellantis

Systems Engineer - Cloud and DevOps

Aug 2021 – Apr 2023 · 1 yr 8 mos · Hyderabad, Telangana, India · Remote

Drove major cloud cost-optimization initiatives, consolidating underutilized workloads, tuning storage lifecycles, and implementing rightsizing automation—resulting in a 32% cost reduction and approximately $500K annual savings.
Led the end-to-end engineering of the Stellantis Global Service Delivery Platform, architecting and launching cloud environments for NAFTA, EMEA, and China regions, enabling scalable, secure, multi-region operations across a global user base.
Integrated AWS CloudFormation into the provisioning workflow, transforming environment builds from manual hours-long processes into fully automated deployments, improving build speed by 60% and standardizing infrastructure consistency.
Architected a high-performance CI/CD pipeline using Jenkins + Git + CloudFormation, achieving 2× faster release cycles, zero-downtime promotion workflows, and automated cross-region rollouts.
Implemented enterprise-grade multi-account AWS architecture using AWS Inspector, GuardDuty, Trusted Advisor, elevating regulatory compliance, data protection, and operational governance across all cloud environments.
Optimized EBS and S3 storage lifecycles through automated rightsizing, tiering, and snapshot policy refinement achieving $100K+ annual savings while improving storage availability and performance.
Improved SQL database performance by 25% through schema optimization, indexing improvements, and query tuning, resulting in faster transaction speeds, lower latency, and improved application reliability.
Automated build, deployment, and configuration workflows using Jenkins, Bash, and Python, eliminating 85% of manual operational tasks and enabling self-service deployment capabilities for development teams.
Performed comprehensive AWS account reviews and cost-governance audits, identifying underutilized resources and redundant workloads—achieving a 73% reduction in monthly cloud expenditure across environments.