Suhas Seerla

An AWS Certified DevOps Engineer Professional with 11+ years experience focusing on multi-Cloud Technologies, skilled in leading teams to design, deploy and manage scalable cloud-based solutions with a deep understanding of cloud architecture, automation, and security. I am able to effectively develop and implement strategies to optimize AWS/Azure cloud environments and maximize operational efficiency for fast growing companies in IT, Helthcare, Finance and Telecommunications. Highly proficient in DevOps/Agile operations, Build/Release Management, Change/Incident Management, and web-scale solutions that encapsulate Scalability, High Availability and Security. PROFILE SUMMARY Continuous Integration and Delivery ~ Build and Release Management ~Automation ~ Configuration Management OpenShift Container Platform ~ Infrastructure Management

• Configuring and managing deployment infrastructure, such as Kubernetes clusters, to enable fast and reliable software deployments
• Built and deployed the application code using CLI Kubernetes like Kubectl, Kubelet, kubeadm, Kubespray and Scheduling the jobs using
• Kube-scheduler
• Managed K8's charts using Helm and created reproducible builds of the Kubernetes applications
• Report on the health of the cloud services to leadership, providing detailed information around both lifecycle and cost management
• Make recommendations for improvements to security, scalability, manageability, and performance across a wide variety of cloud network, storage, and compute technologies
• Formulate detailed network, storage, and compute design specifications for stable and secure computing operations in a dynamic cloud- based environment
• Liaise with customers, architecture leadership and technical teams, including systems and network administrators, security engineers, and
• IT Support teams
• Proficient in integrating Docker with AWS services such as AWS Code Pipeline, AWS Code Commit, and AWS Lambda to automate deployment workflows and enable continuous delivery
• Build and configure build plans, code pipelines and create automated solutions that can be frame worked and re-used
• Integrated Kafka with various data sources and sinks, including databases, microservices, and monitoring tools, to facilitate seamless data flow and processing
• Optimized performance by tuning Kafka configurations and monitoring cluster health using tools like Kafka Manager and Grafana
• Collaborated with teams to automate Kafka deployments and updates using Infrastructure as Code (IaC) tools like Terraform and Ansible
• Application and System logs using Python and PowerShell for all applications to proactively monitor and trace errors with automated email alerts to various teams
• Installed WebSphere products using shell scripts
• Setup Automated management of Amazon Workspaces in Asia, Europe and US-east/west region using CloudFormation and
• AWSCodePipeline, which provisions/deprovisions Workspaces based on AD assignments
• Workspace Cost Optimization using CloudFormation stack, Monitoring, and logging Dashboards in SumoLogic, reports on individual usage and cost reports using Lambda and Boto3 (Python SDK)
• Setup Terraform Pipeline from scratch for TechOps team and promoted usage of GitHub Actions to help simplify workflow with flexible automation for CI/CD, after researching and collaboration with Core-Infra and SRE teams at Flexport
• Provision and manage Boomi Production/UAT Infrastructure from scratch using Terraform Pipeline and GitHub Actions
• (Boomi is a product of DELL Technologies)
• POC on EGInnovation for Managing Workspace and Appstream and EUC tool kit POC for Admin/Ops use
• Aws Audit and reported security vulnerabilities on AWS Config, AWS Organizations, Control Tower, Audit Manager, CloudTrail, Security hub etc
• Evaluating, Designing, Developing and Building PoC and Architect Infrastructure solutions
• Sr
• Cloud Infrastructure Engineer- Azure Mar 2022 – Aug 2022
• Infozeal Solutions Inc
• (Client: Humana- Louisville, KY)
• Designing, planning and implementation for existing on-premises applications to AZURE Cloud (ARM), Configured and deployed Azure
• Automation Scripts utilizing Azure stack Services and Utilities focusing on Automation
• Migrating on-prem and Hybrid-cloud applications (IBM ACE, Google APIGEE Edge/X) to Azure/GCP, configured management plane on
• GCP and Runtime plane on Azure, setup Ingress and Egress using Istio Service mesh and performed PowerShell scripting to do Patching
• Imaging, and Deployments in Azure
• Deployed and monitored scalable infrastructure on Amazon web services (AWS) and configuration management instances and Managed servers on the Amazon Web Services (AWS) platform using Chef configuration management tools and Created instances in AWS and migrated data to AWS from the Data Center
• Involved in design and deployment of a multitude of Cloud services on AWS stack such as EC2, Route53, S3, RDS, Dynamo DB, SNS
• SQS, IAM, LAMADA, GLUE, while focusing on high-availability, fault tolerance, and auto-scaling in AWS CloudFormation
• Managing the Azure Kubernetes Services (AKS) policies, providing access to different Azure resources and developing and improving the workflows that govern access
• Deploying CI/CD system using Azure DevOps on Kubernetes container environment, and for the runtime environment of CI/CD system to build, test and Deployment using Kubernetes and Docker
• Experienced in integrating Jenkins with Azure services such as AKS, ACR, and Azure Functions to automate CI/CD pipelines and deployment workflows
• Provisioning servers/instances using infrastructure-as-code in Terraform
• Code is stored in a private repository and constantly updated
• Structured cluster AutoScaler for Azure Kubernetes Service (AKS) using Terraform and worked with scheduling, deploying, and managing pods and replicas in AKS
• Terraform was used along with Packer to create custom machine images, Ansible to install the software dependencies once the infrastructure is provisioned
• Worked on Terraform templates for provisioning virtual networks, subnets, VM Scale sets, Load balancers, and NAT rules and used terraform graph to visualize execution plan using the graph command
• Configured BGP routes to enable ExpressRoute connections between on-premises data centers and Azure cloud
• Kubernetes Cluster management of cloud/on-premises environments with master/minion architecture and wrote YAML files to create many services like pods, deployments, auto scaling, load balancers, labels, health checks etc
• Configured Jfrog Artifactory (local, virtual, remote) as a medium to import container images from External registry to K8’s services
• Designing and implementing RESTful APIs and microservices using Golang and related frameworks like Gin, Echo, or Revel
• Designed and developed Python-based applications on Azure services such as Azure Functions, Azure App Service, Azure Machine Learning, and Azure Databricks
• Used Azure SDKs for Python to integrate applications with Azure services and simplify the process of working with Azure resources
• Used Splunk APM for log aggregation and analysis on different application servers and integrated Splunk with Single Sign-On authentication and Service now ticketing tool
• Integrated Docker with Jenkins to automatically build containers and then auto deployment of containers using Kubernetes
• Developed build and deployment scripts using Maven and ANT as build tools in Jenkins to move from one environment to other environments
• Integrated GIT into Jenkins to automate the code check-out process
• Developed GIT hooks for the local repository, code commit and remote repository, code push functionality and on GitHub
• Skills: VM’s, V nets, SQL DB, Azure PowerShell, Azure DevOPs, SDKs, Terraform, Cloud, Docker containers, Git, Git push, Ansible, Ansible
• Tower, Ansible playbooks, Jenkins, Kubernetes, ACS, Nginx, Prometheus, Grafana, Python, CI/CD, Azure Databricks, Azure DevOps
• Release Manager/Cloud Engineer Mar 2019 – Mar 2022
• Blue Arcus Technologies INC
• (Client: Apple Inc.- Sunnyvale, California)
• Responsible for Setup and building AWS infrastructure using resources VPC, EC2, S3, RDS, Dynamo DB, IAM, EBS, Route53, SNS, SES
• SQS, CloudWatch, CloudTrail, Security Group, Autoscaling, and RDS using CloudFormation templates
• Developed strategy for cloud migration and implementation of best practices using AWS services like database migration service, AWS server migration service from On-Premises to cloud
• Implemented and maintained the monitoring and alerting of production and corporate servers/storage using AWS CloudWatch and assigned
• AWS elastic IP addresses to work around host or availability zone failures by quickly remapping the address to another running instance
• Provisioned the highly available EC2 Instances using Terraform and cloud formation and wrote new python scripts to support new functionality in Terraform
• Worked on Azure IaaS virtual machines (VMs) and Cloud services (PaaS role instances) into secure VNets and subnets, designed VNets and subscriptions to conform to Azure Network Limits
• Created Storage Pool and Stripping of Disk for Azure Virtual Machines
• Configure and Restore Azure Virtual Machine using Azure Backup
• Experience on Azure VPN-Point to Site, Virtual Networks, Azure Custom security, Endpoint Security, firewall, Windows Azure name resolution, Scheduler, Automation and Traffic Manager
• Configured Azure Multi-Factor Authentication (MFA) as a part of Azure AD Premium to securely authenticate users and worked on creating custom Azure templates for quick deployments and advanced PowerShell scripting
• Deployed Azure SQL DB with GEO Replication, Azure
• SQL DB Sync to standby database in another region & fail over configuration
• Deployed pods using Replication Controllers by interacting with Kubernetes API server defining through declarative YAML files
• Building and maintaining distributed systems and microservices architectures using Golang and related technologies like Kubernetes
• Docker, and RabbitMQ
• Worked in cloud formation to automate AWS environment creation along with the ability to deploy AWS using bill scripts (Boto3 and AWS
• CLI) and automate solutions using python and shell scripting
• Designed AWS Cloud Formation templates to create custom sized VPC, to set up IAM policies for users, subnets, NAT to ensure successful deployment of Web applications, database templates and Security group
• Wrote Ansible playbooks from scratch in YAML
• Installing, setting up & Troubleshooting Ansible, created and automated platform environment setup, Refined automation components with scripting and configuration management using Ansible
• Managed Docker orchestration and Docker containerization using Kubernetes
• Used Kubernetes to orchestrate the deployment, scaling, and management of Docker Containers
• Developed build and deployment scripts using MAVEN as build tools in Jenkins to move from one environment to other environments and
• Supporting Maven multi-module builds and store artifacts in a remote repository in artifacts
• Worked on writing Jenkins build a pipeline with Gradle script and Groovy DSL (Domain Specific Language) and integrating ANT/MAVEN build scripts with Gradle for the sole purpose of continuous build
• Automated Kafka deployments and configurations using Ansible and Terraform, reducing manual setup time and ensuring consistency
• Developed and maintained scalable data pipelines using Apache Kafka to handle real-time data streams, ensuring high availability and fault tolerance
• Configured and managed Kafka clusters in a production environment, including setting up brokers, topics, partitions, and replication
• Secured Kafka clusters by configuring SSL/TLS encryption, SASL authentication, and Access Control Lists (ACLs), ensuring data privacy and compliance
• Provided on-call support and troubleshooting for Kafka-related issues, ensuring minimal downtime and fast resolution of incidents
• Developed automation scripting in Python using Puppet to deploy and manage Java applications across Linux servers
• Implemented Shell and
• Python scripts for release and build automation
• Worked on Azure Site Recovery and Azure Backup- Deployed Instances on Azure environments and in Data centers and migrating to Azure using Azure Site Recovery and collecting data from all Azure Resources using Log Analytics and analysed the data to resolve issues
• Managed Azure Infrastructure Azure Web Roles, Worker Roles, VM Role, Azure SQL, Azure Storage, Azure AD Licenses, Virtual Machine
• Backup and Recover from a Recovery Services Vault using Azure PowerShell and Azure Portal
• Written Templates for Azure Infrastructure as code using Terraform to build staging and production environments
• Integrated Azure Log
• Analytics with Azure VMs for monitoring the log files, store them and track metrics and used Terraform as a tool, Managed different infrastructure resources Cloud, VMware, and Docker containers
• Involved in setting up Terraform continuous build integration system
• Also Implemented the solution for the Disaster Recovery (Blue-Green
• Deployment) and have automated the process using Terraform Template
• Deployed and managed microservices on Pivotal Cloud Foundry (PCF), ensuring high availability and scalability of applications
• Deploying a
• Spring Boot application-(the developer prepares the manifest file), then uses ‘cf push’ to deploy the application to the cloud environment
• Integrating CI/CD pipelines with VMware Tanzu Application Service(TAS) ensures that code changes are automatically tested and deployed, improving the reliability and speed of deployments
• Setting up a Jenkins pipeline that pushes code to PCF after running tests and building the application
• Monitored and troubleshooted application performance using PCF's Loggregator and integrated third-party monitoring tools like Splunk and
• Prometheus
• Worked on Serverless services, created and configured HTTP Triggers in the Azure Functions with application insights for monitoring and performing load testing on the applications using the Visual Studio Team Services (VSTS) also called as Azure DevOps Services
• Configure continuous integration from source control, setting up build definition within Visual Studio Team Services (VSTS) and configure continuous delivery to automate the deployment of ASP.NET MVC applications to Azure web apps
• Built and maintained ELK stack to centrally collect logs used to monitor applications also Installed, monitored, and configured Applications in Nginx and Apache Tomcat Server and established connectivity to databases and troubleshoot issues on the fly
• Worked on google cloud platform (GCP) services like compute engine, cloud load balancing, cloud storage, cloud SQL, stack driver monitoring, and cloud deployment manager
• Setup GCP Firewall rules to allow or deny traffic to and from the VM's instances based on specified configuration and used GCP cloud CDN (content delivery network) to deliver content from GCP cache locations, drastically improving user experience and latency
• AWS DevOps Engineer Jan 2018 – Dec 2018
• VIPS LLC, Charlotte - NC
• Worked with AWS services using S3, RDS, EBS, Elastic Load Balancer, Auto-scaling groups, EC2 instances with optimized volumes and achieved cloud automation and deployments using Chef, Python, and AWS Cloud Formation Templates
• Worked with AWS CLI and AWS API to manage resources on AWS for many services such as EC2, S3, VPC, Cloud Watch, ELB, Auto- scaling, created python script using AWS API Calls to manage all resources deployed on AWS
• Configured AWS IAM and Security Groups in Public and Private Subnets in VPC Managed IAM accounts (with MFA) and IAM policies to meet security audit & compliance requirements
• Provided high durability of the available data using data stored in the AWS S3 bucket, versioning S3, lifecycle policies
• Also, web hosting the data from the S3 bucket by creating URLs
• Utilized AWS CLI to automate backups of ephemeral data-stores to S3 buckets, EBS and create AMIs for mission-critical production servers as backups and used AWS Beanstalk for deploying and scaling web applications and services developed with Java, Node.js, Python and
• Ruby on familiar servers like Apache, Nginx, Tomcat
• Terraform as infrastructure as code, execution plans, resource graph, and change automation—Managed AWS infrastructure as code using
• Terraform
• Deployed and configured Elasticsearch, Logstash, and Kibana (ELK) for log analytics, full-text search, application monitoring in integration with AWS Lambda and CloudWatch
• Wrote Pyspark scripts to apply hard quality checks on data at record level to generate reports to end users and automate the same through
• AWS Apache Airflow
• Configuring the Docker containers and creating Docker files for different environments
• Creating clusters using Kubernetes and making many pods, replication controllers, deployments, labels, health checks, and ingress by writing
• YAML files
• Used Jenkins and pipelines to drive all microservices builds out to the Docker-registry and then deployed to Kubernetes, Created Pods, and managed using Kubernetes
• Installed, Configured, Managed Monitoring Tools like AppDynamics, Data Dog
• AWS DevOps Engineer/SRE Jr
• Apr 2016 – Dec 2017
• Examity Inc
• Boston Area
• Implemented AWS solutions using EC2, S3, RDS, EBS, VPC, Elastic Load Balancer, Auto-scaling groups
• Worked on all Amazon Web Services, including AWS lambda and AWS Database Migration Service
• Configured Amazon Machine Images (AMI), IAM polices and able to Set up and deploy servers on multiple AWS availability zones and regions
• Configured AWS Elastic Search and CloudWatch for logging and monitoring instances and application services
• Managed AWS infrastructure as code (IaaS) using Terraform
• Expertise in writing new python scripts to support new functionality in
• Terraform
• Provisioned the highly available EC2 Instances using Terraform and cloud formation and set up the build and deployment automation for
• Terraform scripts using Jenkins
• Created cloud instance and Docker deployment from tagged docker builds published to Amazon ECR through the HashiCorp Terraform
• Build a Kubernetes POC for container orchestration
• Automated CI/CD with Jenkins, build-pipeline-plugin, maven, GIT Set up Jenkins master/slave to distribute builds on salve nodes
• Integrating with Git and Jira to trigger builds using Web Hooks and Slave Machines
• Automated CI/CD process using Jenkins, build-pipeline-plug in, maven, GIT, AWS infrastructure as a code using Terraform to build staging and production environments
• Maintained and Administered GitHub Source Code Tool and Created Branches, Labels, and performed Merges in Stash and GitHub
• Troubleshooted Build and Deployment Issues, with little downtime
• Experience creating and maintaining user accounts, profiles, security, rights, disk space, and process monitoring
• Network & Systems Engineer (Team Lead) Apr 2014 - Oct 2015
• Strateology IT Solutions Pvt Ltd
• Hyderabad, TG, India
• Installation, administration, implementation, testing and maintenance of complex and heterogeneous networks consisting of LINUX (red hat), windows
• Configuring and managing the SSH, SSL, NFS, FTP, and SMTP servers on LINUX
• Installation, configuration, and administration of Apache Tomcat, WebLogic, WebSphere
• Performed automated installations of Operating System using Jumpstart for Solaris and Kickstart for Linux
• Member of the team that set up, tested, configured, and eventually implemented a VMware virtual computing environment into operations
• Written Cron jobs to automate daily tasks and done performance tuning and Disk space management
• Experience in VMware
• Installed and monitored Virtual environments with ESXiservers and VirtualCenter2
• Setting up Multi-pathing at OS Layer for Network and Storage layer and ensuring High Availability/Redundancy
• Resolved TCP/IP network access problems for the clients
• Experience in performing monitoring Tasks on Linux servers
• Automate Start server, Stop Server etc using Shell Script
• Configure Linux Redhat servers with Kickstart, LDAP, DNS, and DHCP and connect to Network
• Integration of Windows Active Directory with Linux/Unix Servers
• Network Administrator Feb 2012 – Feb 2014
• C.P Softech Pvt Ltd
• (Client: Google- Bangalore, KA, India )
• Provided level 3 support for Data Center with Cisco Routers, switches, blade switches, CSS, and CSM in a 24
• 7 environment
• Deployed
• Cisco Routers and Cisco Switches in LAN/WAN environments worked extensively on 6500 catalyst switches and 7600 routers
• Worked with vendors- Juniper and Cisco when issues arise and see it through until the issue is resolved or a bug has been identified and
• Turned over to development
• Created documentation, project plans, network diagrams, and flowcharts for ATT client network (CIGNA with 1500+ devices)
• Resolved all Network issues using IBM problem management, IBM chain management, and HPSM ticketing system
• Troubleshooting network using tools like Vitalnet, Netqos, Cisco works, Wireshark, and sniffer
• Configuring and maintaining 1900, 2600, 2800, 3600 series Routers.

• Provided personalized fitness training sessions, creating tailored exercise plans to help clients achieve their health and fitness goals.
• Additionally, I offer nutritional counseling to help clients make informed food choices, supplements, to enhance their performance and recovery.

• AWS Certified DevOps Engineer Professional

Validation # 4LZ92DSLFF1EQ6WD

• AWS Certified Solutions Architect Associate
• HarshiCorp Certified: Terraform Associate
• Cisco Certified Network Professional- Routing

and Switching| Cisco ID No. CSCO12428020