Lead DevOps & Cloud Engineer, Site Reliability Engineer (SRE)

MAHEN SADINENI

Lead DevOps & Cloud Engineer Site Reliability Engineer (SRE)

913-***-**** My LinkedIn Open Nationwide

Summary of Qualifications:

oLead DevOps & Cloud Engineer, Site Reliability Engineer with 12+ years of experience building and operating highly available, enterprise-scale platforms on AWS and Google Cloud, with deep telecommunications experience at T-Mobile and Sprint. Technical leader who guides engineering teams and partners with architects, developers, QA, and compliance stakeholders.

oAdvanced expertise in Kubernetes (Amazon EKS, GKE, GKE Autopilot), Docker, and Helm, including leading the migration of large-scale workloads from Apache Mesos to GKE Autopilot and modernizing container platforms for high-throughput microservices.

oExtensive experience in CI/CD and GitOps, engineering delivery pipelines for Java-based microservices with GitLab CI/CD, Jenkins, Argo CD, Spinnaker, and Azure DevOps, including progressive and blue/green releases.

oStrong Infrastructure-as-Code and configuration-management skills with Terraform, AWS CloudFormation, Ansible, Chef, and Puppet, using reusable modules and remote state to provision consistent, repeatable environments across AWS and GCP.

oProven Site Reliability Engineering and observability skills with Prometheus, Grafana, Splunk, the ELK Stack, and AWS CloudWatch, covering SLA/SLO monitoring, incident and change management, and root-cause analysis for production platforms.

oSkilled in Python and Bash automation, including event-driven, self-healing remediation with StackStorm and AWS Lambda that reduces manual operations and speeds service recovery.

oExperienced in DevSecOps and compliance, with SonarQube quality gates, AWS IAM, Secrets Manager, and Macie, and secure, audit-ready delivery supporting SOX requirements.

Professional Experience:

Client: T-Mobile – Overland Park, KS Oct 2021 – Present

Role: Lead DevOps & Cloud Engineer Site Reliability Engineer (SRE)

Leadership and platform modernization

oLead DevOps and Site Reliability Engineering initiatives for enterprise-scale messaging and notification platforms, ensuring infrastructure stability, deployment reliability, operational efficiency, and compliance across multiple environments.

oLed the migration of large-scale workloads from Apache Mesos to Google Kubernetes Engine (GKE) Autopilot, covering container orchestration modernization, phased workload transition, and deployment standardization with minimal customer impact.

oProvide technical guidance to DevOps and application engineering teams on CI/CD architecture, Kubernetes orchestration, infrastructure automation, and production troubleshooting, defining platform standards, runbooks, and templates.

oCollaborate with cloud architects, development teams, infrastructure operations, and compliance stakeholders to evaluate technical requirements and coordinate platform modernization initiatives.

Kubernetes and containers

oBuild, administer, and optimize Kubernetes platforms supporting distributed microservices and high-throughput workloads, managing pod lifecycle, deployments, services, resource allocation, and scaling.

CI/CD and GitOps

oManage and optimize enterprise CI/CD platforms, troubleshooting complex build, deployment, integration, and automated-testing failures, improving pipeline success rates and release consistency.

oDesign, configure, and maintain GitLab CI/CD pipelines and reusable shared pipeline libraries for Java microservices, integrating source control, automated validation, deployment controls, and environment-specific configuration.

oDrove the modernization of continuous delivery with Argo CD and GitOps, integrating GitHub repositories, Helm charts, automated synchronization, event-driven deployment triggers, and Single Sign-On (SSO).

oIntegrate SonarQube into CI/CD workflows to enforce automated code-quality checks, static analysis, and quality gates.

Infrastructure as Code

oDevelop and maintain Terraform Infrastructure-as-Code with reusable modules, remote state management, version control, and governance practices, enabling repeatable provisioning across environments.

Observability and reliability (SRE)

oImplement monitoring, logging, and observability with AWS CloudWatch, Splunk, and the ELK Stack, correlating application logs, infrastructure metrics, and operational events through dashboards and alerts that reduced MTTR.

oLead incident investigation, problem resolution, and change management for production infrastructure and CI/CD services, performing root-cause analysis, coordinating remediation, and running post-incident reviews to prevent repeat incidents.

oManage and resolve ServiceNow incidents (INCs) and Request Items (RITMs) covering pipeline failures, infrastructure access, deployment errors, and service requests.

Automation and Python

oDeveloped Python-based, event-driven auto-remediation with StackStorm for infrastructure recovery, service restarts, stale-resource cleanup, and corrective actions triggered by monitoring events, eliminating manual interventions and reducing incident volume.

oEngineered automated recovery for shared infrastructure, including Network File System (NFS) services and CI/CD build dependencies, using parallelized remediation that cut recovery time and related build failures.

Security and compliance

oImplement secure deployment practices and governance controls across CI/CD frameworks, shared pipeline libraries, and infrastructure automation, supporting SOX compliance, audit readiness, and controlled releases, with secrets management through AWS Secrets Manager.

Environment: AWS (EC2, CloudWatch, Secrets Manager), GCP (GKE Autopilot), Kubernetes, Apache Mesos, Docker, Terraform, GitLab CI/CD, Argo CD, GitHub, Helm, Java, Python, Bash, StackStorm, SonarQube, Splunk, ELK Stack, Prometheus, Grafana, NFS, Linux, ServiceNow, GitOps, SOX Compliance, Incident/Change Management

Client: Sprint Corporation – Overland Park, KS Jan 2020 – Sep 2021

Role: Sr. DevOps & Cloud Engineer Site Reliability Engineer (SRE)

Cloud infrastructure

oEngineered and administered scalable AWS infrastructure using EC2, VPC, S3, RDS, Elastic Load Balancing, IAM, Route 53, and Auto Scaling, supporting highly available application environments.

oAutomated Amazon Machine Image (AMI) creation and maintenance with HashiCorp Packer and Jenkins, establishing standardized, repeatable server images and reducing server build time.

oDeveloped automated backup, disaster recovery, and operational maintenance workflows using Python, AWS Lambda, and Amazon CloudWatch Events, reducing manual intervention and improving recovery readiness.

CI/CD and release engineering

oDesigned and maintained enterprise CI/CD pipelines that supported both Agile and Waterfall delivery models, with controlled, repeatable releases across environments.

oBuilt and optimized Jenkins and Azure DevOps pipelines integrating source repositories, automated builds, code scanning, deployment validation, and release promotion across environments.

oImplemented automated application delivery with Spinnaker, integrating Kubernetes deployment pipelines, progressive rollouts, environment promotion, and controlled production releases.

oDesigned and implemented blue/green deployment strategies with AWS CloudFormation and automated workflows, enabling controlled production cutovers and rollback procedures and reducing service interruptions.

Containers and Kubernetes

oBuilt and maintained Kubernetes clusters on Amazon EKS and Google Kubernetes Engine (GKE), managing containerized microservices, deployments, services, namespaces, secrets, resource allocation, and workload scaling.

oDeveloped and managed Docker-based containerization, creating and maintaining container images, configuring registries, and deploying microservices through Kubernetes and Helm.

Infrastructure as Code and Configuration Management

oDesigned and implemented IaC with Terraform and AWS CloudFormation, developing reusable modules, parameterized templates, remote state management, and dependency controls to standardize provisioning across development, testing, and production and reduce provisioning time.

oDeveloped Ansible playbooks and Chef cookbooks for configuration management, software installation, environment provisioning, patching, and orchestration across Linux-based cloud environments.

Observability and SRE

oImplemented monitoring and observability with Prometheus, Grafana, Alertmanager, and Blackbox Exporter, building dashboards, alert rules, and health checks for infrastructure and service-level monitoring.

oConfigured Kubernetes monitoring through Helm charts, collecting cluster and application metrics to track resource utilization, workload health, availability, and performance against SLA/SLO objectives.

oDeveloped custom monitoring and deployment utilities to analyze CI/CD job failures, monitor disk utilization, validate deployments, and track pipeline health, enabling proactive resolution of issues before they affected developers.

Automation, Python, and data workflows

oArchitected and maintained Apache Airflow DAGs using Python operators and scheduling to automate data processing, job orchestration, and dependency management.

Security and governance

oImplemented secure cloud practices using AWS IAM, access controls, and AWS Macie for sensitive-data discovery and classification, improving security visibility.

oIntegrated AWS Secrets Manager with Apache Airflow and containerized environments for secure credential management, secrets synchronization, and controlled access.

Environment: AWS (EC2, VPC, S3, RDS, ELB, IAM, Route 53, Auto Scaling, CloudFormation, Lambda, CloudWatch, Macie, Secrets Manager), GKE, Kubernetes (EKS, GKE), Docker, Helm, Terraform, Ansible, Chef, Jenkins, Azure DevOps, Spinnaker, Packer, Python, Bash, Apache Airflow, Prometheus, Grafana, Alertmanager, Git, Linux

Client: IBM – Overland Park, KS Sep 2017 – Dec 2019

Role: DevOps & Cloud Engineer Infrastructure Engineer

Cloud Migration & Infrastructure

oDesigned and implemented scalable AWS infrastructure to modernize enterprise applications, improving reliability, availability, and operational efficiency.

oMigrated on-premises applications and supporting infrastructure to AWS using EC2, VPC, S3, Elastic Load Balancing (ELB), Auto Scaling, Amazon RDS, and Route 53, configuring resources for hosting, networking, storage, and databases, with minimal business disruption at cut-over.

IaC and CI/CD

oDeveloped and maintained IaC with Terraform and AWS CloudFormation, creating reusable configurations, parameterized templates, and automated provisioning workflows for consistent deployments across environments, reducing environment build time.

oBuilt and maintained Jenkins pipelines integrated with Puppet to automate server configuration, application package deployment, provisioning, and configuration consistency across enterprise Linux servers, reducing manual deployment effort.

Configuration management and middleware

oDeveloped Ansible playbooks and reusable roles to automate the installation, configuration, and deployment of middleware, including Oracle WebLogic and Apache Tomcat, across development, testing, and production, reducing deployment time.

oUsed Ansible Tower to schedule automation jobs, manage deployment inventories, control execution workflows, and standardize configuration management.

Containers

oContainerized enterprise applications with Docker, building container images, maintaining image repositories, and configuring containerized deployments to improve consistency and portability.

Monitoring and observability

oDesigned and configured Splunk dashboards using Search Processing Language (SPL), developing custom searches, alerts, and data-ingestion configurations to monitor infrastructure performance, application behavior, and operational events.

Automation and scripting

oDeveloped Python and Bash automation for AWS resource monitoring, log rotation, infrastructure validation, deployment orchestration, and routine administration across Linux-based cloud environments.

Security and compliance

oImplemented AWS IAM policies, roles, and permission controls using least-privilege principles to secure cloud resources and support enterprise security and compliance requirements.

Database automation and disaster recovery

oAutomated Amazon RDS and Aurora provisioning and administration, supporting database configuration, backup and recovery, and integration with application workloads, reducing provisioning time.

oSupported SQL database disaster recovery migration activities and developed JSON-based data-ingestion utilities to automate data loading, transformation, and maintenance.

Environment: AWS (EC2, VPC, S3, ELB, Auto Scaling, Route 53, RDS, Aurora, IAM, CloudFormation, CodePipeline), Terraform, Jenkins, Puppet, Ansible, Ansible Tower, Docker, Kubernetes, Python, Bash, PowerShell, .NET, Splunk (SPL), Git, Linux, VMware, Oracle WebLogic, Apache Tomcat, SQL, JSON, YAML

Client: SCIT IT Solutions – Hyderabad, India Mar 2013 – Jul 2015

Role: Linux Administrator

oInstalled, configured, administered, and maintained Red Hat Enterprise Linux (RHEL) servers across enterprise environments, supporting availability, stability, and day-to-day operations.

oAutomated Linux OS installations and server provisioning using Kickstart, standardizing configurations, post-installation validation, and baseline security settings, which reduced build time.

oPerformed Linux system administration, including user and group management, file permissions, package installations, system updates, service configuration, and OS maintenance.

oManaged Linux storage with Logical Volume Manager (LVM), RAID, and multipath utilities, supporting disk allocation, volume management, availability, and troubleshooting.

oConfigured and maintained core infrastructure services, including DNS, DHCP, FTP, and network routing, troubleshooting availability, name resolution, connectivity, and performance issues.

oMonitored and analyzed server performance using Nagios and Linux diagnostic utilities, tracking CPU, memory, disk I/O, storage capacity, network connectivity, and availability, identifying and resolving issues before they caused outages.

oDeveloped Python and Perl scripts to automate recurring administration tasks, health checks, configuration updates, and maintenance across multiple Linux servers.

oImplemented system hardening and security administration, including access permissions, service configuration, security updates, and OS configuration reviews, maintaining secure Linux environments.

Environment: RHEL, Linux, Windows Server, Python, Perl, PowerShell, Bash, Kickstart, Nagios, DNS, DHCP, FTP, TCP/IP, LVM, RAID, Multipath I/O, Cron, Linux Hardening, tcpdump, traceroute, nslookup, netstat, iostat, top

Education:

oMaster’s Degree in Computer Science (2017 Graduate) University of Central Missouri – Warrensburg, MO

oBachelor’s Degree in Computer Science (2013 Graduate) JNT University – Hyderabad, India

Technical Skills:

Cloud Platforms & Services: Amazon Web Services (AWS), Google Cloud Platform (GCP), EC2, VPC, S3, IAM, RDS, Aurora, Elastic Load Balancing (ELB), Auto Scaling, Route 53, CloudWatch, CloudFormation, Lambda, Amazon Machine Images (AMI), Cloud Migration (On-Premises to AWS)

Containers & Orchestration: Kubernetes, Amazon EKS, Google Kubernetes Engine (GKE), GKE Autopilot, Docker, Docker Registries, Helm, Apache Mesos, Containerized Microservices, Kubernetes Deployments, Services, Secrets, Namespaces, Workload Scaling

CI/CD & GitOps: GitLab CI/CD, Jenkins, GitHub Actions, Argo CD, Spinnaker, Azure DevOps, AWS CodePipeline, GitHub, Git, GitOps, Shared Pipeline Libraries, Blue/Green Deployments, Progressive Delivery, Automated Release Management, Application Deployment Automation

IaC & Config Management: Terraform, AWS CloudFormation, Ansible, Ansible Tower, Chef, Puppet, HashiCorp Packer, Reusable IaC Modules, Remote State Management, Infrastructure Provisioning, Configuration Automation

Monitoring, Observability & SRE: Prometheus, Grafana, Alertmanager, Blackbox Exporter, Splunk, Splunk Search Processing Language (SPL), ELK Stack (Elasticsearch, Logstash, Kibana), AWS CloudWatch, Datadog, OpenTelemetry, Nagios, SLA/SLO Monitoring, Root-Cause Analysis, Automated Remediation

Scripting & Automation: Python, Bash, Shell Scripting, Perl, PowerShell, SQL, AWS Lambda, StackStorm, Event-Driven Automation, Self-Healing Infrastructure, Cron

DevSecOps & Security: SonarQube, Code Quality Gates, AWS IAM, AWS Macie, AWS Secrets Manager, Least-Privilege Access, Security Hardening, SOX Compliance, Audit-Ready CI/CD, Secure Deployment Practices

Data & Workflow Automation: Apache Airflow, Airflow DAGs, SQL Databases, JSON Data Processing, Database Backup and Disaster Recovery, Data Pipeline Orchestration

OS, Networking & Virtualization: Red Hat Enterprise Linux (RHEL), Linux, Windows Server, VMware, Kickstart, Linux System Administration, DNS, DHCP, TCP/IP, FTP, NFS, RAID, LVM, Multipath I/O, Network Troubleshooting

App Servers & Dev Tools: Java, Java-based Microservices, Apache Tomcat, Oracle WebLogic, YAML, JSON

IT Service Management: ServiceNow, Incident Management, Request Management, Change Management

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