Sirani V
Summary
DevOps and Cloud Engineer with 5 years of experience designing and implementing scalable AWS solutions using Terraform, Ansible, CloudFormation, and Jenkins pipelines. Skilled in container orchestration with Kubernetes and OpenShift and strong scripting in Python and Shell for automation and compliance. Proven track record collaborating with stakeholders to deliver secure, highly available infrastructure and streamline migrations and deployments.
Overview
4
4
years of professional experience
1
1
Certification
Work History
Senior Associate Application Engineer
Discover Financial Services
Riverwoods, IL
11.2022 - 05.2025
- Worked extensively with Ansible for infrastructure automation, configuration management, compliance enforcement, and integration into CI/CD pipelines.
- Managed containerized workloads using OpenShift Container Platform (OCP) in production environments.
- Maintained infrastructure in alignment with PCI audit readiness, security compliance, and regulatory standards.
- Leveraged Datadog for observability, real-time monitoring, alerting, and performance diagnostics.
- Participated in on-call rotations, resolved production issues, conducted root cause analysis, and led post-incident reviews to improve incident response.
- Automated infrastructure provisioning and compliance enforcement in AWS using Terraform, Ansible, and Jenkins integrated pipelines following Infrastructure as Code and AWS Solutions Architecture principles.
- Created and maintained CI/CD pipelines leveraging Jenkins and GitHub to deploy infrastructure and application updates to AWS environments, implementing CI/CD strategies to streamline delivery.
- Developed microservices in Python and Java, deployed in containerized environments using Docker and Kubernetes as part of a microservices architecture.
- Led the integration of Datadog with ServiceNow to automate incident management workflows, configure alert-based ticket generation, and synchronize CI data with the CMDB.
- Defined and maintained SLOs/SLIs, synthetic monitoring strategies, and anomaly detection rules using Datadog for production and pre-production environments.
- Designed custom dashboards and monitors in Datadog for application performance, latency, error rates, and system health indicators.
- Supported infrastructure compliance by validating configuration of RDS PostgreSQL instances, ensuring encryption, logging, and backups met PCI requirements.
- Developed Python-based automation tools to orchestrate deployment validation, integrate with APIs (ServiceNow, Datadog), and manage AWS resources.
- Facilitated CAB approval workflows for production deployments, ensuring structured reviews and risk mitigation.
- Prepared and submitted detailed change requests for infrastructure updates, adhering to internal change control policies and audit requirements.
- Provisioned AWS Glue crawlers/jobs and integrated datasets with Glue Data Catalog. Scheduled QuickSight dataset refresh and dashboard deployments as code.
- Collaborated with product owners, developers, and cybersecurity teams to define SLAs, design scalable solutions, and remediate security issues.
- Performed log analysis and shell-based debugging on Linux servers to resolve container and deployment issues in staging and production environments.
- Championed and implemented Site Reliability Engineering (SRE) best practices to ensure system reliability, scalability, and operational efficiency.
- Integrated ServiceNow (SNOW) with DevOps pipelines to automate ticket creation, change management approvals, and incident tracking.
- Familiar with ServiceNow modules like Incident Management, Change Management, Problem Management, and CMDB (Configuration Management Database).
- Mentored new team members, providing onboarding guidance and conducting knowledge transfer sessions.
- Delivered project demos and technical walkthroughs to cross-functional teams and stakeholders.
- Acted as a Delivery Consultant to multiple product teams, designing HIPAA-compliant data and ML solutions on AWS using Kafka, Airflow, Spark, Hadoop, AWS Glue, and Amazon SageMaker.
- Built end-to-end MLOps workflows with MLflow and Kubeflow for model tracking, approval, and deployment, improving governance and reproducibility for regulated datasets.
- Developed real-time services in Go, C++, and TypeScript to consume Kafka streams and expose APIs, ensuring GDPR-aligned handling of EU customer data.
- Standardized CI/CD for these workloads using GitHub Actions for build/test and Harness + ArgoCD for progressive, GitOps-style deployments to Kubernetes.
DevOps AWS Engineer
AMEX
Phoenix, Arizona
06.2022 - 10.2022
- Configured and managed various AWS services such as EC2, ELB, Application Load Balancer, VPC, Subnets, Security groups, S3 Buckets, Cloud Watch, Elastic Container Service (ECS), NAT gateway, IAM Roles, Config, and Cloud Trail.
- Created various Terraform scripts to deploy Dev, QA, and Pre-prod environments in AWS Cloud.
- Involved in the development and implementation of Continuous Integration (CI) and Continuous Deployment (CD) pipeline involving Jenkins, Ansible, Terraform, ECS, and Docker containers to complete the automation from commit to deployment, with extensive scripting to drive workflow.
- Developed Terraform modules and automated provisioning of Amazon RDS instances for PostgreSQL and MySQL, configuring multi-AZ deployments and parameter groups.
- Created Terraform modules for two-tier Architecture, which includes AWS resources, VPC, Subnets, Security groups, EC2, Load Balancers, Auto scaling group, Cloud watch Alarms, ECS clusters, S3 buckets for logs.
- Built Jenkins jobs to create AWS infrastructure from GitHub repos containing Terraform code to deploy different Applications infrastructure for Dev, QA, and Pre-prod based on the requirements from different teams.
- Built servers in AWS, importing Volumes, launching EC2, creating Security groups, Auto scaling, Load balancers (ELBs), and installed required packages on servers.
- Implemented database initialization and migration scripts as part of CI/CD pipeline using Jenkins and Ansible.
- Monitored SQL query performance and database metrics using AWS CloudWatch and Datadog.
- Worked on Ansible to manage Web Applications, Config Files, Database, Commands, Users Mount Points, and Packages.
- Supported AWS Cloud environment with 200+ AWS servers and configured Elastic IP & Elastic Storage, Load balancing, Security groups and Network ACLs, S3 buckets for logs.
- Worked on the creation of multiple Amazon Machine Images for multiple regions and different environments using Packer Scripts and automated in Ansible playbooks.
- Supported a real-time analytics platform for card transactions using Kafka for event streaming, Apache Airflow to orchestrate Spark jobs on EMR/Hadoop, and AWS Glue for cataloging curated datasets consumed by fraud and risk teams.
- Integrated Amazon SageMaker models into production data flows and introduced MLflow and Kubeflow for experiment tracking, model promotion, and standardized MLOps practices aligned with PCI-DSS, GDPR, and internal HIPAA-style safeguards for sensitive data.
- Built and optimized high-throughput services in Go, C++, and TypeScript to consume Kafka topics, expose APIs, and deliver low-latency responses for card authorization and fraud decisioning.
- Modernized CI/CD by complementing existing Jenkins pipelines with GitHub Actions, Harness, and ArgoCD, enabling GitOps-style deployments of Kafka consumers, Spark workloads, and microservices into AWS and Kubernetes environments.
Intern Cloud Engineer
Vizient Inc
Springfield, MO
01.2022 - 05.2022
- Responsible for managing and controlling the continuous release promotion cycle through automation, including the following environments: Dev, QA, UAT, Pre-Prod, and Production.
- Driven strategic initiatives and process ITIL, ITSM needs & Requirement Planning for Cloud-based solutions on storage and security.
- Configured GCP services such as Compute Engine, Cloud Storage, and Cloud Functions for deploying and testing containerized workloads.
- Familiar with GCP IAM, VPC networks, and Firewall rules for secure access control.
- Used Cloud Shell, gcloud CLI, and Cloud SDK for managing infrastructure and deployments.
- Used Kubernetes to deploy, scale, and load balance, and worked on Docker Engine, Docker HUB, Docker Images, and Docker Compose for handling images for installations and domain configurations.
- Built CI/CD pipelines on Google Cloud using Cloud Build, integrated with GitHub for automated deployments to Kubernetes clusters (GKE).
- Provisioned infrastructure using Terraform for GCP, including setting up GKE, Cloud SQL, and IAM roles.
- Managed containerized applications on Google Kubernetes Engine (GKE) using Helm and kubectl.
- Integrated Google Cloud Monitoring and Cloud Logging (formerly Stackdriver) to collect metrics, logs, and set up alerts for cloud-native applications with adherence to security standards.
- Implemented Secrets Manager and Cloud KMS to manage credentials and encryption keys securely within GCP.
- Applied organization policies and VPC Service Controls for regulatory compliance.
- Implemented Terraform modules for the deployment of various applications across multiple Cloud providers and managing infrastructure.
- Build applications around Microservices Architecture, defined through a Docker Compose file and set up a SWARM Cluster to deploy the applications.
- Used Jenkins Pipelines, which helped us drive all Microservices builds out to the Docker registry and then deployed to Kubernetes.
- Scheduled jobs using Ansible Tower and writing Python modules for Ansible customizations and wrote many Playbooks to manage Web applications, Environments configuration Files, Users, Mount points and Packages.
- Worked on Ansible and Ansible Tower to automate repetitive tasks, to deploy critical Applications quickly, and proactively manage the changes.
- Contributed to a cloud analytics proof of concept that combined Kafka for streaming events with Apache Airflow to orchestrate Spark jobs on GCP and Hadoop-based environments.
- Helped build ETL pipelines using GCP services and AWS integrations such as AWS Glue, enabling data engineers to move curated datasets into analytics and ML workloads.
- Supported data science teams experimenting with Amazon SageMaker, MLflow, and Kubeflow for model training and tracking, ensuring deployments could later be aligned with HIPAA and GDPR requirements.
- Assisted in containerizing microservices written in Go, C++, and TypeScript and deploying them on Kubernetes as part of internal testing and automation initiatives.
Cloud DevOps Engineer
IBM
Hyderabad, India
01.2021 - 12.2021
- Developed CI/CD system with Jenkins on Kubernetes environment, utilized Kubernetes and Docker for the runtime environment for the CI/CD system to build, Test and Deploy.
- Supported and created Cloud Architectures for Security, Infrastructure, Data with delivery teams working primarily within an Agile Scrum methodology.
- Developed scripts for Build, Deployment, Maintenance, and related tasks using Jenkins, Docker, Maven, Python and Bash.
- Experienced with Azure-specific resources including Managed Identities, Key Vault, Virtual Networks, DNS, and Azure App Services.
- Implemented custom Azure Policies to enforce governance and compliance across environments.
- Developed fully automated CI/CD pipelines using Azure DevOps YAML pipelines, GitHub Actions, Jenkins, and Terraform to streamline infrastructure deployment and application release cycles.
- Created reusable Azure CLI and PowerShell scripts for provisioning infrastructure, managing secrets, and automating resource tagging and cleanup.
- Implemented Azure Privileged Identity Management (PIM) workflows for just-in-time access and access reviews.
- Integrated secrets management using Azure Key Vault and HashiCorp Vault for secure storage and retrieval of sensitive data and certificates.
- Integrated Azure SQL and PostgreSQL databases into cloud infrastructure deployments using ARM templates and Azure CLI scripting.
- Automated routine tasks such as schema backups, user provisioning, and patching on Azure SQL using Ansible playbooks and PowerShell scripts.
- Enforced security baselines and port restrictions for virtual machines using Azure Security Center and automated Azure Policies.
- Created alerting strategies using Azure Monitor, Log Analytics, and custom dashboards to drive incident detection and resolution.
- Responsible for installation & configuration of Jenkins to support various Java builds and Jenkins plugins to automate continuous builds and publishing Docker images to the Nexus repository.
- Automated provisioning and configuration management using Ansible and Chef, supporting both Linux and Windows environments.
- Used Jenkins Pipelines to drive all Microservices builds out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes.
- Used Chef to configure and manage infrastructure, created cookbooks to automate the configuration setups, Established Chef Best practices approach to system deployment with tools with Vagrant and managing Chef Cookbooks as a unit of software deployment and independently version controlled.
- Created Cloud Formation Stack and automated Jenkins for the Provisioning of Dev, QA, Pre-Prod and Production Environment.
Education
Master of Science - Computer Science
Missouri State University
Springfield, MO05-2022
Bachelor of Science - Information Technology
Bhoj Reddy Engineering College For Women
Hyderabad, Telangana09-2020
Skills
- AWS Services: EC2
- Elastic Load Balancer
- Auto Scaling
- VPC
- Security Groups
- IAM
- S3
- EFS
- AWS Kinesis
- AWS Lambda
- AWS Cloud Formation
- Cloud Front
- Cloud Watch
- EventBridge
- Cloud Trail
- Route 53
- Ops works
- Code Commit
- Code Pipeline
- Code Build
- Code Deploy
- Elastic Beanstalk
- RDS
- API Gateway
- DynamoDB
- Redshift
- SQS
- SNS
- SES
- Programming Languages: Python
- Ruby
- Bash
- Java
- NET
- Shell
- YAML
- JavaScript
- Operating Systems: Windows
- Linux
- Unix
- Ubuntu
- RHEL
- CentOS OS
- Solaris
- Databases: SQL Server
- Oracle
- MySQL
- Cloud Platforms: AWS
- Azure
- GCP
- DevOps Tools: Elastic Beanstalk
- Jenkins
- Docker
- Kubernetes
- Openshift
- Terraform
- Ansible
- AWS CloudFormation
- LXC (Linux Containers)
- Monitoring Tools: Datadog
- Prometheus
- Grafana
- ELK Stack (Elasticsearch
- Logstash
- Kibana)
- Core Competencies: AWS Solutions Architecture
- CI/CD Strategies
- Infrastructure as Code
- Automation
- Scripting
- Security Standards
- Microservices Architecture
- ETL Data Pipelines
- Programming Languages
- AWS Professional Certifications
Certification
AWS Certified Solutions Architect - Associate
Timeline
Senior Associate Application Engineer
Discover Financial Services
11.2022 - 05.2025
DevOps AWS Engineer
AMEX
06.2022 - 10.2022
Intern Cloud Engineer
Vizient Inc
01.2022 - 05.2022
Cloud DevOps Engineer
IBM
01.2021 - 12.2021
Master of Science - Computer Science
Missouri State University
Bachelor of Science - Information Technology
Bhoj Reddy Engineering College For Women