Singaiah Naidu

Exceptionally well-qualified DevOps/Cloud Engineer with 8+ years of experience in the IT industry. Adept at resolving complex problems and meeting diverse needs through innovative solutions. Skilled in designing, implementing, and optimizing AWS cloud services, with expertise in transferring and migrating infrastructure. Expert in version control, networking, AWS monitoring, and Infrastructure as Code (IaC) methodologies. Strong grasp of DevOps principles and experience with containerization technologies. Effective in implementing CI/CD pipelines and deploying applications to AWS environments.

• IBM/Pfizer, WA, AWS&Devops Engineer, A global biopharmaceutical company specializing in the discovery, development, and delivery of innovative medicines and vaccines. Pfizer focuses on advancing health through research in areas like oncology, immunology, and rare diseases, and is recognized for its contributions to public health, including the development of COVID-19 vaccines., 08/01/22, Present, Proficient in migrating on-premises infrastructure to Amazon Web Services (AWS), ensuring seamless transition and optimal utilization of cloud resources., Proficient in AWS infrastructure development and operations, adept in designing and deploying various AWS services including EC2, EBS, S3, VPC, RDS, Glacier, SES, ELB, Auto Scaling, CloudFront, CloudFormation, ElasticCache, CloudWatch, SNS, and Route 53. Experienced in automating provisioning and managing a large number of servers across AWS instances., Designed and implemented F5 Load Balancer solutions to optimize traffic distribution and ensure high availability for enterprise applications., Developed and deployed scalable microservices using Java and Spring Boot, optimizing application performance and reducing response time by 30%., Led the automation of multi-cloud infrastructure deployment using Python and Terraform, reducing provisioning time by 70% and ensuring compliance with security policies., Designed and implemented a self-healing microservices architecture on Kubernetes, integrating Prometheus and Grafana for real-time monitoring, improving system uptime by 99.9%., Utilized AWS Identity and Access Management (IAM) service to assign roles and policies to users and security groups, effectively managing access permissions within the AWS cloud infrastructure., Integrated PowerBI dashboards with existing DevOps tools and processes to provide real-time insights into deployment pipelines, release management, and system performance., Automated infrastructure provisioning and configuration management using Chef and Terraform, reducing deployment time by 50%., Led the implementation of a RESTful API ecosystem with Spring Boot, integrating third-party services and automating data processing for a real-time analytics platform., Using Bash and Python, included Boto3 to supplement automation provided by Ansible and Terraform for tasks such as encrypting EBS volumes backing AMIs., Designed and deployed a real-time streaming pipeline using Kafka, Spark Streaming, and AWS Kinesis to process millions of events per second., Built feature stores and ML pipelines using Databricks, Delta Lake, and MLflow to support predictive analytics., Worked on complex problems in a large-scale internal private cloud including observability, monitoring, infrastructure as code, and many other development efforts., Experience implementing ATDD frameworks within development teams, facilitating collaboration between developers, testers, and business stakeholders., Setting up the build and deployment automation for Terraform scripts using Jenkins., Ensured data durability by storing it in AWS S3 buckets with versioning enabled and implemented lifecycle policies. Additionally, hosted the data from S3 buckets by creating accessible URLs., Configured various performance metrics utilizing AWS CloudWatch & Cloud Trial., Worked on configuring Cross-Account deployments using AWS Code Pipeline, Code Build and Code Deploy by creating Cross-Account Policies & Roles on IAM., Optimized memory management and garbage collection by analyzing logs, reducing application latency and improving performance., Migrated on-premise Teradata to Snowflake, optimizing query performance and reducing costs by 40%., Designed a Cloud-Native Data Lake – Implemented a scalable data lake on AWS S3 with Glue, Athena, and Lake Formation for structured and unstructured data processing., Created Docker file for each micro service's and changed some of the tomcat configuration file which are required to deploy Java based application to the Docker container., Developed environments of different applications on AWS by provisioning on EC2 instances using Docker, Bash and Terraform., Automated ingestion and transformation using Apache Airflow, DBT, and Kubernetes to support enterprise analytics., Experience on Vagrant, AWS and Kubernetes based container deployments to create self-environments for dev teams and containerization of env’s delivery for releases., Managed user accounts using IAM, along with overseeing RDS, Route 53, VPC, RDB, DynamoDB, SES, SQS, and SNS services within the AWS cloud infrastructure., Use of Docker and Kubernetes to manage micro services for development of continuous integration and continuous delivery., Designed a NoSQL database solution using Cassandra/MongoDB, improving data retrieval speed and scalability for high-volume applications., Analysed and deconstructed HPOO workflows to identify components viable for migration to Terraform, facilitating seamless transition and enhancing infrastructure provisioning efficiency., Docker has been core to this experience, along with Kubernetes., Established a Management VPC with a Bastion host and enabled VPC peering across multiple AWS accounts to ensure secure infrastructure configuration., Created Grafana dashboards on AWS cloud, delivering actionable insights to stakeholders for swift decision-making and proactive issue resolution., Hands-on experience on Architecting and securing the Infrastructure on AWS using IAM, KMS, API Gateway, Cloud Trail, CloudWatch, Config, Trusted Advisor, Security Groups, NACL etc., AWS VPC is one of the most commonly used SDN implementations, and can be configured by Terraform., Configuring and Networking of Virtual Private Cloud (VPC). Written Cloud-Formation templates and deployed AWS resources for dev, test, staging and production., Utilized Docker, Jenkins, and GitHub in conjunction with AWS AMIs to establish a Continuous Delivery pipeline. Jenkins triggers automated builds of Docker containers from new GitHub branches, incorporating AWS AMIs into the containers for deployment leveraging Linux containers., Automated infrastructure provisioning, configuration management, and deployment processes using tools like Ansible, Terraform, or Puppet. Infrastructure as Code (IaC) is a fundamental part of SRE., Implemented Ansible Playbooks for automated configuration management, facilitating seamless application deployment, configuration, and enhancing OS security measures on the AWS cloud infrastructure., Coordinated end-to-end release process, deploying build artifacts to DEV, QA, UAT, and PROD environments with precision., Proficient in deploying and managing Linux environments on AWS cloud infrastructure., Proficient in scripting for system administration and AWS using BASH and Python., Created and deployed a demo environment on AWS using Terraform configuration to automate provisioning and bootstrapping., Proficient in Docker containerization for seamless deployment, AWS cloud services for scalable infrastructure, and OpenStack for flexible private cloud management., Implemented SRE practices in altering critical application issues and altering for site latency issues., Expertise in containerization technologies like Docker and container orchestration using Kubernetes, with a focus on OpenShift's Kubernetes distribution., Designed, implemented, and managed infrastructure using Terraform, enabling version-controlled and repeatable provisioning of resources., Enhanced PostgreSQL query performance on AWS Cloud by analysing execution plans and implementing strategic index optimization., Implemented CloudWatch Logs and CloudWatch Metrics to facilitate thorough logging and monitoring of both applications and infrastructure within the AWS environment., Implemented Site Reliability Engineering and systems engineering to help onboard into DevOps/SRE and ensure the applications on-boarded to SRE are available, have full-stack observability, are integrated with CI/CD, and always-on by introducing continuous improvement through code and automation and provided operational insight through observability, monitoring, and incident analytics., Developed a Python-based log analysis and anomaly detection system using ELK Stack, reducing incident detection time by 50% for a high-traffic enterprise application., Established VPC peering connections to facilitate seamless communication between AWS VPCs., Developed Puppet manifests to automate configuration management tasks for AWS services., Implemented Citrix Director for efficient monitoring and management of AWS-hosted virtual desktops and applications., Performed Continuous Delivery in a Micro Services infrastructure with Docker and Kubernetes., Developed batch scripts for efficient compilation and deployment of ASP.NET and SharePoint applications., Designed AVD solutions based on organizational requirements, ensuring optimal performance and resource utilization., Integrated infrastructure monitoring and logging tools with Terraform-deployed resources, providing real-time visibility into resource performance., Maintained build management systems by modifying Nant and Bamboo for effective management of .NET applications., Analysed infrastructure bottlenecks and optimized resource configurations using Terraform's adjustable parameters, enhancing system performance and resource utilization., Designed and implemented GitLab CI/CD pipelines using YAML-based configuration for automated testing, artifact management, and streamlined deployments.
• SutterHealth, AWS&Devops Engineer, 10/01/19, 06/30/22, Medical Center in Sacramento opened in 1923 and includes the Ose Adams pavilion with 274 beds and advanced specialties. California Pacific Medical Center (CPMC) in San Francisco operates three acute‑care sites and is affiliated with UCSF and Stanford. Over the last decade, Sutter has invested $7.6 billion in lifesaving tech and facility expansion, plus $822 million in charity and community health. Offers free or reduced‑cost screenings and immunizations, telemedicine, telehealth, and programs addressing social determinants of health., Communicating with developers for build plan and build failures., Designing, creating and maintaining GIT repositories as per the client specifications., Analyzing Bugs and coordinating with Dev/QA teams., Launching and configuring of Amazon EC2 (AWS) Cloud Servers using AMI's (Linux/Ubuntu) and configuring the servers for specified applications., Performed Linux systems patch management configurations on Amazon EC2 instances., Implemented CI/CD using Jenkins, Docker., Creating and Managing S3 buckets to store data. Responsible for creating manifest files like daemonsets, replica sets, deployments., Worked on configuration management and containerization solutions such as Ansible, Docker., Managed and monitored the server and network infrastructure using Nagios., Continuous Delivery is being enabled through deployment into several environments of Test, QA, and Production using Jenkins., Enabling the SonarQube Quality gates for the modules of the project to maintain the Stability of the code quality., Enabling the SonarQube Quality gates for the modules of the project to maintain code quality., Configuring and enabling the SonarQube through Jenkins pipeline jobs., Managing snapshots, AMIs and Security Groups for server security and backup in case of disaster recovery., Worked with MAVEN build tool for building deployable artifacts., Installed and administered Nexus repository to deploy the artifacts generated by Maven and to store the dependent jars which are used during the build., Responsible for creating & configuring persistent volumes, persistent volume claims., Created Cloud formation templates to automate AWS infrastructure., Implemented CI/CD using Jenkins, Docker., Worked on configuration management and containerization solutions such as Ansible, Docker., Worked on configuration management and containerization solutions such as Ansible, Docker., Continuous Delivery is being enabled through deployment into several environments of Test, QA, and Production using Jenkins., Responsible for creating & configuring persistent volumes, persistent volume claims., Created Cloud formation templates to automate AWS infrastructure., Worked on the Lambda functions to automate the tasks using python scripts., Creating new jobs in Jenkins and managing the build related issues., Monitoring daily builds using continuous integration tool Jenkins.
• TransAmerica, Azure DevOps Engineer, 10/01/17, 08/31/19, Standard Chartered Bank is India’s largest international bank (in terms of branch network) with 100 branches in 42 cities, and we have been operating here since 1858. Key client segments include Corporate, Commercial and Institutional Banking, Private Banking as well as Retail Banking., Build deployable War/Ear files using maven & Jenkins., Maintaining the versions of Jenkins artifacts in Nexus repository., Installing Plug-ins in Jenkins as per project requirements., As most of the infrastructure is hosted in AWS cloud. I am responsible for creating and managing EC2 Instances., Configuring EC2 instances with Cookbooks to enable an environment for deployment., Maintaining AMI of the Configured Ec2 instances., Creating Docker images and Containers., Improving the workflow with Docker Compose., Verify deployment logs to check for successful deployments., Post deployment, Bouncing of servers along with tmp & cache clean., Configuring and deploying artifacts into several environments by using the primary automation deployment tool Chef., Use Chef and other configuration management tools to deploy consistent infrastructure code across multiple environments., Written groovy scripts to automate deployment of cookbooks on nodes and running the chef client on them in a chef solo environment., Created Chef cookbooks and recipes that kickoff post-install scripts., Automation of java applications to achieve continuous integration and continuous delivery (CI/CD)., Configuring various jobs using Team city and Maven for the deployment of Java-based applications., Deployed complex application deployments on Kubernetes Cluster and I have created horizontal pod auto-scaling for my pods in Kubernetes cluster., Deployed builds to different environments like DEV, QA, UAT environments by integrating Jenkins and Chef., Performed Unit Testing and System Integrated Testing.