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Senior DevOps Engineer - Cloud, CI/CD, Kubernetes, Terraform

Location:
Hyderabad, Telangana, India
Posted:
December 12, 2025

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Resume:

SISINDRI KILARI

Email: **************@*****.***

LinkedIn: linkedin.com/in/sisi-k-556584271

Phone: 857-***-****

PROFESSIONAL SUMMARY

Certified DevOps Engineer with 8+ years of experience delivering enterprise-scale cloud and DevOps solutions across AWS and Azure. Expertise in CI/CD pipeline design, Kubernetes orchestration, Docker, Terraform, and GitOps, with strong background in infrastructure automation, monitoring, networking, and Linux administration. Proven track record of implementing DevSecOps practices (SAST/DAST), scalable architectures, and hybrid cloud deployments.

SKILLS:

•Operating Systems: Linux (Red Hat, CENTOS, Debian), WSL, Mac OS, Windows

•Application Servers: WebLogic Application Server 9.x, WebLogic Application Server 10.x, Apache, Nginx

•Web Servers: Tomcat, APACHE 2.x, WebLogic (8/9/10), Web Sphere 4.0/5.0, Nginx

•Build Tools: Maven, MS Build, Node

•CI/CD Tools: Azure Pipelines, Jenkins, GIT Lab CICD, Argo CD

•Cloud Environments: AWS, Microsoft Azure, Google Cloud, OpenShift

•Configuration Tools: Ansible, Terraform

•Orchestration Tools: Kubernetes, Docker

•Networking Protocols: TCP/IP, DNS, Cisco Routers/Switches, SSP, HTTP

•Virtualization: VMware Esi, Windows Hyper-V, Virtual Box

•Scripting: YAML, PowerShell, Bash Shell Scripting, Python, java

•Version Control Tools: GIT, GitHub, Bitbucket, Azure repos, JFROG

•Monitoring Tools: Nagios, Cloud Watch, Splunk, Prometheus, Grafana, ELK, Dynatrace

Agile/Project Management & ITSM Tools: JIRA, Bugzilla, Azure boards, Service Now, kanban,scrum

Education:

Masters in computer science, Lindsey Wilson college, Columbia, KY, 2024 April

Certification :

Certified as an AWS Solution Architect

Work History:

Title: Senior DevOps Engineer Duration: August 2024 to Present

Client: Columbia Sportswear

Responsibilities:

I demonstrated end-to-end understanding of the Software Development Life Cycle (SDLC) — from planning, requirements gathering, and development, to QA, change, and release management.

Implemented Git-based version control using feature branching, GitFlow, and pull request workflows; managed artifacts through Nexus and JFrog Artifactory with version tagging, build promotion, and automated release pipelines integrated into CI/CD workflows.

implemented cloud infrastructure SaaS solution on AWS using infrastructure as code Terraform, CloudFormation to provision core services including EC2, VPC, EBS, IAM, Route53, Auto Scaling, ECS/EKS,CloudWatch, and S3, reducing manual configuration and increasing deployment speed.

Managed multi-account AWS Organizations environments and wrote reusable Terraform modules to automate provisioning of networking, routing, security groups, IAM roles, WAF, and Auto Scaling groups, ensuring consistent, secure, and highly available multi-AZ and multi-region deployments.

Extensive hands-on experience in containerization using Docker; built and optimized Docker images for applications developed in Python, PHP,Node.js, Golang, Java, ASP.NET, Angular, and ReactJS, applying image hardening, vulnerability scanning, and lifecycle management to enhance security, performance, and deployment efficiency.

Set up CI/CD pipelines for microservices using GitLab CI/CD, Runner Configuration and GitHub Actions, Jenkins master and Slves hosts setup and integrating tools such as Maven, NPM, SonarQube, Acs, Nexus, JFrog, Docker, and Kubernetes.

Applied security best practices aligned with HIPAA, CMS, NIST, SOC 2, and ISO 27001 standards by integrating DevSecOps pipelines with SonarQube, Snyk, Trivy, and OWASP ZAP for SAST/DAST scanning, ensuring secure code delivery, early vulnerability detection, and continuous compliance across CI/CD workflows.

Automated patch management and package upgrades across Windows and Linux/Unix systems (RHEL, Ubuntu, CentOS) using Ansible, PowerShell, and shell scripting, strengthening security posture and reducing downtime during maintenance windows.

Supported AWS cloud-native application deployments using Lambda, API Gateway, DynamoDB, and S3 to enable scalable serverless architectures; designed and secured RESTful and GraphQL APIs with HTTP/HTTPS, OAuth2, JWT, SAML, API keys, and SSL/TLS, while managing API deployment, versioning, and documentation (Swagger/OpenAPI) for microservices delivery.

Extensive experience on Kubernetes administration and troubleshooting,Deployments across AWS EKS,ECS,EC2, On-Prem VMs and Azure AKS, including Helm charts, Kubernetes manifests, cluster upgrades, autoscaling (HPA/KEDA), and backup/restore strategies; integrated with AWS and Azure networking services (VPCs, VNets/peering, Private Link, Application Gateway/WAF, ALB/Front Door, DNS) to deliver secure, scalable, and highly available architectures.

Hands-on experience with Software-Defined Networking (SDN) and networking stacks around Kubernetes HA Clusters, including CNI plugins (Calico, Cilium), ingress controllers, and service mesh integration for secure and scalable network management.

Administered and optimized middleware and web servers (WebLogic, Apache, Tomcat, JBoss, Nginx) through installation, configuration, troubleshooting, and performance tuning, resulting in improved system stability, faster response times, and reduced incident resolution time.

Experience implementing and optimizing caching strategies using AWS ElastiCache and Redis to reduce latency, improve application performance, and enhance scalability for high traffic microservices.

Implemented GitOps-based continuous delivery with Argo CD to enable automated, version-controlled Kubernetes deployments; utilized progressive rollout strategies (blue/green, canary, and rolling updates) to achieve zero-downtime releases and consistent environment synchronization.

Implemented enterprise-level observability and runtime security, logging by deploying Prometheus, Grafana, ELK stack, and Datadog for monitoring Kubernetes clusters, AWS infrastructure, and application workloads. Integrated Open Policy Agent (OPA)for policy-as code governance and Falco for real-time threat detection, ensuring compliance, visibility, and secure operations

Automated incident response workflows by integrating Datadog alerts with PagerDuty and Slack for real-time escalation; implemented runbook automation and remediation scripts to reduce MTTR and improve operational reliability.

Automated cloud and on-prem infrastructure tasks by developing Python, Bash for log rotation, patching, EC2 health checks, and backups; integrated scripts into CI/CD pipelines, improving reliability and reducing manual effort by 50%.

Troubleshot complex network issues, AWS-related technical issues such as DNS, NACL, Transit Gateway, and VPC peering misconfigurations, utilizing deep cloud integration knowledge across AWS, Azure, and GCP to resolve operational challenges

Managed SQL and NoSQL databases including PostgreSQL, MySQL,MongoDB, Snowflake,DynamoDB, and Redis, implementing backup and retention strategies, replication, and scaling policies to ensure high availability. Optimized query performance and indexing for business-critical workloads, and integrated Apache Kafka, for real-time analytics and event-driven architectures.

Resolved complex issues in CI/CD pipeline failures and Kubernetes deployment issues by analyzing logs, debugging YAML/Helm configurations, and identifying root causes across cloud and on-prem environments. Applied systematic problem-solving skills and critical thinking to minimize downtime, restore services quickly, and implement automation to prevent recurrence.

Title: Senior DevOps Engineer Duration: Aug 2023 to July 2024

Client: MidFirst Bank

Responsibilities:

Designed and deployed enterprise-grade AWS cloud-native applications infrastructure with VPC networking (public/private subnets, route tables, IGW, NACLs), container orchestration (EKS), compute scaling (EC2, Auto Scaling, ELB), and storage/databases (S3, EBS, EFS, RDS).

Implemented monitoring and security controls with CloudWatch and IAM policies, ensuring high availability, scalability, and compliance across multiple environments.

Implemented multi-account AWS governance using Control Tower and Organizations, automating account creation, enforcing compliance guardrails, and providing infrastructure support across business units.

Integrated IAM Identity Center (AWS SSO) with Active Directory, mapping AD groups to IAM roles to streamline access management and reduce onboarding time for new users.

Managed Agile sprints using Jira Scrum and Kanban boards, defining user stories, tracking tasks, and ensuring visibility of team progress.

Defined sprint stories, tasks, and epics in Jira to ensure clear backlog prioritization and timely delivery.

Improved team productivity by aligning tasks with business priorities and ensuring continuous progress tracking.

Automated creation of golden images using Packer and Python, integrating security hardening andcompliance checks, and deployed highly available, scalable infrastructure on AWS with Terraform.

Deployed and automated microservices (Node.js, Ruby, Java,.NET, C#, C, C++) on AWS EKS using Docker, Terraform, and Helm, integrating CI/CD pipelines (GitLab CI, GitHub Actions) and GitOps workflows (ArgoCD) to ensure scalable, highly available, and optimized real-time application performance.

Automated infrastructure and operations using Python, Bash, and PowerShell for backup orchestration, log rotation, certificate renewal, and alarm creation.

Developed Dockerfiles and automated container image builds with best practices (multi-stage builds, non-root users, Trivy scanning), publishing hardened images to Amazon ECR.

I configured authentication and identity management solutions leveraging OIDC, OAuth2, and SSO, enabling secure, seamless user access across services.

I implemented mesh networking architectures using service mesh technologies (Istio/Linkerd) to enable secure, observable, and reliable inter-service communication across Kubernetes clusters.

Integrated cost-monitoring dashboards using AWS Budgets, tagged environments for cloud spend tracking, and supported finance teams in forecasting monthly resource utilization trends.

Established enterprise-grade Kubernetes governance by defining multi-tenant policies at the namespace level, RBAC roles, and network segmentation via Network Policies to isolate workloads.

Implemented database schema migrations for AWS RDS using tools like Atlas and Flyway, running migrations from Kubernetes EKS pods via init containers to ensure consistent schema alignment across environments before application containers start.

Enabled secure AWS resource access for Kubernetes pods using IAM roles for service accounts and managed persistent storage with EBS/EFS volumes, supporting high availability and compliance requirements.

Automated AWS RDS provisioning and management using Terraform and Ansible, configuring multi-AZ deployments, read replicas, and snapshot retention policies to ensure scalability and high availability. Implemented automated backup workflows and disaster recovery testing to guarantee business continuity and compliance.

Implemented enterprise monitoring with Dynatrace for applications, infrastructure, and Kubernetes clusters, including Istio and Linkerd service meshes. Configured end-to-end observability with real-time metrics, log analysis, distributed tracing, and custom dashboards, enabling proactive issue detection, reduced MTTR, and improved system reliability.

Title: Senior DevOps Engineer Duration: Aug 2020 toNov2022

Client: AVEVA

Responsibilities:

Defined automation roadmaps and collaborated with teams to align on CI/CD adoption. Migrated 50+ applications (100+ sub-apps) to DevOps standards, implementing automated pipelines, infrastructure as code (Terraform), and containerization with Kubernetes, ensuring scalability and faster release cycles.

Set up and managed on-prem infrastructure across IBM mainframes, Cisco UCS, VMware, Red Hat, and Ubuntu servers, leveraging Terraform for Infrastructure as Code to standardize provisioning, configuration, and resource management in hybrid cloud environments.

Containerized and deployed AWS cloud-native applications on EKS and ECS/Fargate with Docker and Helm, leveraging ALB, Route53, and Auto Scaling to ensure high availability and fault tolerance.

I designed and managed VPN solutions to provide secure, encrypted connectivity across on-premises and multi-cloud environments, ensuring compliance and minimal latency.

Containerized Java applications with Docker and deployed them on Kubernetes (EKS/AKS), leveraging Helm charts, ingress controllers, and service discovery to enable scalable, secure, and zero-downtime releases.

Developed Ansible playbooks to automatically install packages from a repository, to change the configuration of remotely configured machines and to deploy new builds and various automation purpose, file copy, permission changes, configuration changes, path specific folder creation.

I have strong hands-on experience with virtualization technologies, primarily VMware vSphere, ESXi, and vCenter, for managing enterprise-grade virtual infrastructure.

I deployed and maintained VMware clusters, including configuration of HA, DRS, and vMotion, ensuring high availability and optimized resource distribution.

Implemented Git branching strategies (feature, release, hotfix) and managed pull requests, merges, and code reviews to streamline collaborative development. Configured DevOps webhooks to trigger CI/CD pipelines for build, test, and release branching, ensuring faster delivery and controlled production deployments.

Managed Jenkins infrastructure, including Jenkins master and distributed agents, by adding necessary plugins, scaling build nodes, and optimizing job configurations to improve pipeline efficiency and support enterprise-level workloads.

Configured Git repositories, SSH keys, and branching strategies in Bitbucket, enabling secure source code management and streamlined collaboration for Agile teams.

Integrated security scanning tools (SAST & DAST) such as SonarQube, Trivy, and OWASP ZAP into pipelines, enabling automated vulnerability detection and compliance checks during code build and deployment stages.

Managed Jenkins infrastructure, including Jenkins master and distributed agents, by adding necessary plugins, scaling build nodes, and optimizing job configurations to improve pipeline efficiency and support enterprise-level workloads.

Responsible for Continuous Integration (CI) and Continuous Delivery (CD) process implementation using Jenkins along with PowerShell to automate routine jobs.

Deployed and managed Java applications on Tomcat, JBoss, and Nginx servers across on-prem and cloud environments, ensuring high availability, performance tuning, and secure configurations.

Designed and implemented CI/CD pipelines in Jenkins for microservices, integrating Maven, Bitbucket, Nexus, Docker, and Kubernetes (EKS/AKS) to automate builds, deployments, and scaling of containerized applications.

Developed shell scripts for automation of the build and release process, developed Custom Scripts to monitor repositories, Server storage.

I performed VM provisioning, snapshot management, and template-based deployments, enabling faster and consistent virtual machine rollouts.

I integrated VMware environments with cloud extensions such as Azure Arc and AWS Outposts to support hybrid cloud workloads.

Designed and implemented Kubernetes resources on AWS EKS, including deployments, services, persistent volumes, and Ingress controllers with SSL/TLS certificates, to enable secure and scalable application delivery.

Provided production support for Kubernetes clusters, diagnosing and resolving worker node failures and critical incidents, while coordinating with Red Hat Support to ensure timely escalation, minimal downtime, and improved cluster reliability.

Monitored Linux system resources (CPU, memory, disk utilization, processes) and troubleshot performance issues, ensuring high availability and minimal downtime in production environments.

Managed user accounts, groups, and file system permissions, including root access controls, sudo configurations, and secure privilege escalation, improving system security and audit readiness.

Title: DevOps / Cloud Engineer Duration: June 2019 to July 2020

Client: Pacific Specialty Insurance

Responsibilities:

Monitored Linux system resources (CPU, memory, disk utilization, processes) through automated Bash scripts, proactively troubleshooting performance issues to ensure high availability and minimal downtime in production environments.”

Developed and maintained shell scripts for system management tasks such as user provisioning, filesystem monitoring, log rotation, and cron job scheduling, reducing manual administration and improving operational efficiency.

Used multiple EC2 instances at the same time and provided highly durable and available data by using S3 data store versioning, lifecycle policies, & create AMIs for mission-critical production server’s backup.

Designed and managed on-premises datacenter infrastructure, including servers, networking, storage, and virtualization (VMware/Hyper-V), and executed migration (lift-and-shift and modernization) of workloads to cloud platforms for improved scalability and resiliency.

Automated the deployment and configuration of Java applications on Tomcat and JBoss servers using Ansible, managing installations, service tuning, SSL configurations, and environment-specific parameters across on-prem and cloud environments to ensure high availability and consistent performance.

Used Git for source code version control and integrated with Jenkins for CI/CD pipeline, code quality tracking and user management with build tools Maven and Ant and written Maven pom.xml build script.

Developed Ansible playbooks and roles to automate the installation and configuration of SonarQube, Tomcat, Docker-based services, and various ETL tools, including database setup, system tuning, service hardening, plugin management, and environment-specific parameters across on-prem and cloud servers.

Supported database deployments and migrations on PL/SQL, PostgreSQL, and MongoDB, ensuring consistency and scalability across environments.

Integrated Docker-Maven plugin into CI/CD pipelines Jenkins to automatically package Java applications into Docker images, leveraging Dockerfiles and Maven POM configurations to streamline containerization.

Installed, Configured, and Managed Monitoring Tools such as Nagios for Resource Monitoring/ Network Monitoring.

Create, manage, and delete users and groups as per the request using Amazon Identity and Access Management.

Strong knowledge of TCP/IP, UDP, DNS network, load balancing, firewalls and enterprise monitoring tools Splunk.

Worked on NoSQL database MongoDB to replica setup and sharing. Also experienced in managing replica set.

Title: DevOps / Cloud Engineer Duration: Feb 2017 to May 2019

Client: Molina Healthcare

Responsibilities:

Build and release software baselines, code merges, branch and label creation and interfaced between development and infrastructure.

Involved in the Installation and configuration of an automation tool Puppet that included the installation and configuration of the Puppet master, agent nodes and admin control workstation. Created Puppet Manifests and

modules to automate system operations and for deploying, configuring and managing collected for metric collection and monitoring.

Integrated Ansible with Docker to automate image builds, container provisioning, and configuration updates, enabling consistent deployment of microservices across Dev, QA, and Prod environments while maintaining immutable container practices.

Responsible for delivering an end-to-end continuous integration - continuous delivery system for the products in an agile development approach using Jenkins.

Used Maven to build rpms from source code checked out from Subversion repository, with Jenkins being the Continuous Integration Server and Nexus Artifactory as repository manager.

Created and Maintained Subversion Branching, Merging and tagging across each Production releases and perform builds with Continuous Integration using Scripts.

Hands on Experience in using Tomcat and Apache web servers for deployments and for hosting tools.

Responsible for Defining Mapping parameters and variables and Session parameters according to the requirements and usage of workflow variables for triggering emails in QA and UAT environments.

Hands on experience working various Bug Tracking tools like JIRA, Bugzilla and integrated with Junit, HPQC and other software testing procedures.

Developed Ansible playbooks to automate Docker container deployments using Docker Compose, including image pulls, container provisioning, configuration updates, and idempotent service restarts across multiple environments.

Extensively worked on Informatica Designer, Workflow Manager. Designed and migrated various reusable mappings and mapplets in Mapping designer, sessions and workflows in Workflow manager to extract data from various sources like Main Frames, Flat files, SQL server, Oracle.

Managed and monitored the server and network infrastructure using Nagios.

Developed and Maintained UNIX/Perl/ANT for Build and Release tasks.



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