Devops Engineer Configuration Management

MOUNIKA SIRISON

DevOps Engineer

************@*****.*** 469-***-**** Texas, USA

Career Objective:

DevOps Engineer with over 5+ years of experience building automated CI/CD pipelines and managing secure, scalable infrastructure across AWS and Azure. Skilled in Terraform, Jenkins, Docker, and Kubernetes to streamline deployments and enhance system resilience.

Experienced in setting up and managing services like EC2, S3, VPC, Lambda, RDS (AWS) and Azure VMs, VNets, Storage Accounts, Azure AD, Load Balancers, and App Gateways.

Worked on migrating both Linux (CentOS, RHEL, Ubuntu) and Windows servers from on-premises to cloud environments, following best practices for automation and security.

Built and maintained CI/CD pipelines using tools such as Jenkins, Git, Maven, and Bitbucket to support fast and reliable application delivery in Agile teams.

Comfortable working with Infrastructure as Code (IaC) using Terraform and ARM templates to deploy and manage cloud resources in a consistent and repeatable way.

Practical experience in Docker and Kubernetes, including deploying microservices with Helm and managing container workloads across different environments.

Familiar with configuration management tools like Ansible, Puppet, and Chef, used to automate system setup and reduce manual tasks.

Set up monitoring and alerting using Prometheus, Grafana, the ELK stack, Splunk, and native tools like CloudWatch and Azure Monitor to track system performance and troubleshoot issues.

Helped design and implement disaster recovery and high availability plans to ensure systems remain reliable and available.

Supported cost optimization efforts by analysing resource usage with AWS Trusted Advisor and Azure Cost Management tools.

Worked with PostgreSQL and MySQL, using indexing and partitioning techniques to improve query performance where needed.

Technical Skills:

Cloud Platforms: AWS (EC2, S3, RDS, Lambda, VPC), Azure (VMs, Blob, AKS, DevOps)

CI/CD & IaC: Jenkins, GitLab CI, GitHub Actions, CircleCI, Azure DevOps, Terraform, Helm, CloudFormation

Containers & Orchestration: Docker, Kubernetes (EKS/AKS), ECS

Monitoring & Logging: CloudWatch, Azure Monitor, Grafana, Prometheus, Splunk, ELK, Datadog

Configuration Management: Ansible, Chef, Puppet

Networking & Protocols: VPC, Route 53, DNS, DHCP, SSH, FTP/SFTP, TCP/IP

Databases: MySQL, PostgreSQL, MongoDB, Cassandra, SQL Server

Languages & Scripting: Python, Bash, Groovy, PowerShell

Tools: Git, JIRA, Nexus, SonarQube, ArgoCD, Vault, Kafka

OS & Servers: Linux (RHEL, Ubuntu), Windows, Apache, Nginx, Tomcat

Development Methodologies: Agile (Scrum), Waterfall

PROFESSIONAL

Role: DevOps Engineer

Farm Credit Bank of Texas (FCBT) – Texas Nov 2023-Present

Description: Farm Credit Bank of Texas (FCBT) is a cooperative financial institution that is part of the Farm Credit System. As a DevOps Engineer, I played a key role in building reliable CI/CD pipelines, managing cloud environments, and ensuring secure and scalable deployments across AWS and Azure platforms.

Key Responsibilities:

Supported Agile delivery teams by setting up Kanban boards, configuring JIRA workflows, and helping manage project tracking and reporting.

Built and managed CI/CD pipelines using Jenkins, GitHub Actions, and CircleCI with integrated tools like SonarQube and Nexus.

Managed deployments of applications built with .NET, Java, Python, and C++ across Azure using Docker and Kubernetes (AKS/EKS), Pod Security Policies, and Network Policies for secure workload isolation.

Provisioned infrastructure using Terraform, AWS CDK, and Helm across multi-cloud environments to ensure consistency and scalability.

Used Bitbucket, GitHub, and GitLab for source control and code collaboration across teams.

Configured GitLab Runners to execute dynamic CI/CD jobs across hybrid environments, improving build parallelism and speed.

Promoted GitOps principles across delivery teams by standardizing Kubernetes deployments using ArgoCD and version-controlled Helm charts.

Set up Kubernetes deployments for applications like Kafka, Grafana, and Cassandra, and managed updates using ArgoCD and Helm charts.

Implemented Kubernetes secrets management integrated with Vault and external secret controllers to ensure secure configuration delivery.

Implemented Kubernetes Operators and Custom Resource Definitions (CRDs) to manage complex application lifecycle operations automatically.

Automated blue-green and canary deployments on Kubernetes using Argo Rollouts and Flagger for zero-downtime releases.

Automated API testing and validation workflows using Python and Postman integrated into CI/CD pipelines to ensure seamless microservice deployments.

Monitored infrastructure and applications using tools like Azure Monitor, Log Analytics, Application Insights, Microsoft Sentinel, Dynatrace, Splunk, and New Relic.

Handled identity and access management using Azure Active Directory, AWS IAM, and implemented SSO integrations with SAML2.0 and OAuth2.0.

Secured cloud resources using HashiCorp Vault, enforcing encryption standards, access policies, and FedRAMP-aligned security controls.

Configured and managed DNS and network settings, including private endpoints and secure routing across Azure environments.

Automated infrastructure lifecycle tasks such as patching, software installation, and service restarts using Ansible, enhancing server compliance and reducing manual errors.

Developed reusable Ansible templates to standardize server configurations, including security policies, application deployment steps, and monitoring agent installations.

Designed and tested disaster recovery and backup strategies using Azure Site Recovery and AWS Backup to maintain high availability.

Built data integration pipelines using Azure Data Factory, Databricks, and Python, focusing on cloud data migration and transformation.

Used Kafka custom encoders for optimized data streaming and Hadoop with Elasticsearch for large-scale data analytics.

Led cost optimization efforts by right-sizing VMs, managing storage lifecycle policies, and using reserved instances to reduce cloud spend.

Created documentation for CI/CD workflows, infrastructure setup, and operational procedures to support team knowledge sharing and onboarding.

Technologies:

Azure (AKS, ADF, Blob Storage, Site Recovery, Monitor, AAD), AWS (EC2, S3, RDS, IAM, CodePipeline, CDK, Backup)

Jenkins, GitLab, GitHub Actions, CircleCI, Nexus, Maven, SonarQube, ArgoCD, Helm, Terraform, Docker, Kubernetes. Azure Monitor, Microsoft Sentinel, Dynatrace, New Relic, Splunk, HashiCorp Vault, Bash, Python, Java, .NET, C++, JIRA, Bitbucket, Git, Kafka, Hadoop, Elasticsearch

Role: DevOps Engineer

American Income Life Insurance Company, Texas, USA Nov 2021-Oct 2023

Description: American Income Life Insurance Company (AIL) is a wholly-owned subsidiary of Globe Life Inc. The company offers a wide range of life insurance products. Played a key role in designing, automating, and managing cloud infrastructure and deployment pipelines, enhancing build and deployment processes, and ensuring effective system monitoring and disaster recovery strategies.

Key Responsibilities:

Built and maintained CI/CD pipelines using Azure DevOps and Harness to automate software build, testing, and deployment, making releases faster and more reliable.

Created data pipelines with Azure Data Factory to support data warehouse and database operations, ensuring smooth data flow and integration.

Designed and managed Azure Virtual Networks and AWS networking to create secure, scalable, and highly available cloud environments.

Automated server deployment, monitoring, and patching on Linux systems with shell scripts to keep systems stable and secure.

Created and maintained Helm charts for deploying microservices, supporting multiple environments using values overrides and CI/CD automation.

Set up and managed WebLogic, Apache, and Nginx servers for enterprise apps, and monitored performance using tools like Prometheus, Nagios, ELK stack, Splunk, Datadog, and AWS CloudWatch.

Integrated PagerDuty with monitoring systems to automate incident notifications, improving response times by 20%.

Managed databases including MySQL, MariaDB, Oracle, and MongoDB, optimizing queries and indexing to improve performance and reliability.

Applied Infrastructure as Code (IaC) using ARM templates and scripts for consistent and repeatable cloud resource setups.

Worked closely with development, QA, and security teams to ensure deployments followed best practices for compliance and security, including role-based access control and secret management.

Utilized JavaScript for lightweight automation tasks and integrating with REST APIs for monitoring and deployment triggers.

Developed and maintained disaster recovery plans and backup procedures to minimize downtime and data loss.

Created dashboards and automated reports to provide real-time updates on system health and deployments for stakeholders.

Monitored cloud usage and optimized resource allocation to reduce costs while maintaining performance and availability.

Technologies:

Azure, AWS, Kubernetes (AKS), Docker, Azure Data Factory, Maven, Chef, Python, Bash, Groovy, WebSphere, DNS, LDAP, NFS, NIS, PostgreSQL, MySQL, MariaDB, Oracle, MongoDB, JIRA, Git, YAML, Puppet, Ansible, Jenkins, PowerShell, SonarQube, VMware, Windows Server, Prometheus, ELK Stack, Nagios, PagerDuty, Splunk, Datadog, AWS CloudWatch, Harness.

Role: DevOps Engineer

Client: Indoco Remedies Ltd, Mumbai, India May 2019-Jun 2021

Description: Indoco Remedies Ltd is an Indian pharmaceutical company. I was responsible for managing and improving the company’s cloud infrastructure and deployment processes to support pharmaceutical applications. My work focused on making systems scalable, secure, and cost-efficient.

Key Responsibilities:

Managed both Linux and Windows servers, handling regular updates, patching, and monitoring to keep systems reliable and available.

Led the migration of legacy systems to AWS, setting up EC2 instances and S3 storage, and automating deployments using Chef and Terraform.

Created and maintained Terraform modules to provision infrastructure consistently across development, testing, and production environments.

Automated infrastructure and application deployment tasks with Python and Unix shell scripts, which helped reduce manual work and improve reliability.

Built and maintained CI/CD pipelines using Jenkins, Chef, Maven, and SVN to automate the entire build, test, and deployment cycle.

Deployed containerized applications using Docker and Kubernetes, managing clusters and pods to support scalable microservices.

Set up monitoring for infrastructure and applications with Datadog and AWS CloudWatch, including alarms and dashboards for faster incident detection and response.

Supported AWS Lambda functions integrated with Elasticsearch to improve backend data processing.

Implemented configuration management policies with Chef cookbooks and roles to keep environments consistent and compliant.

Managed Maven dependencies to simplify and organize multi-module project builds.

Administered Jenkins servers and Apache Tomcat application servers to handle automated builds and deployments.

Worked closely with cross-functional teams to ensure smooth releases and quickly resolve issues.

Participated in 24/7 on-call rotations to respond to critical incidents and maintain system uptime.

Followed cloud security best practices by managing IAM roles, configuring security groups, and ensuring encryption of data both at rest and in transit.

Helped reduce cloud costs by right-sizing instances, automating shutdown of idle resources, and using auto-scaling groups effectively.

Technologies:

AWS (EC2, S3, Lambda, CloudWatch, Route 53, VPC, RDS, EBS, Auto Scaling), Terraform, Jenkins, Chef, Docker, Kubernetes, Python, Unix Shell scripting, Maven, SVN, Datadog, Apache Tomcat, Linux, Windows Server, Git, JIRA

EDUCATION:

M.S. in Computer Science

Western Illinois University, USA August 2021–May 2023

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