Pune Division, Maharashtra, India
-Designing and deploying scalable, highly available, and fault-tolerant systems on Google Cloud Platform. - Managing and provisioning the cloud infrastructure using GCP services and tools like Compute Engine, App Engine, Kubernetes Engine, and Cloud Functions. - Implementing and maintaining network architecture within GCP. - Ensuring data security and compliance with industry standards by configuring IAM roles, service accounts, and access policies. - Automating cloud deployments and infrastructure management using Infrastructure as Code (IaC) tools such as Terraform or Google Cloud Deployment Manager. - Monitoring, logging, and analyzing system performance using GCP operations suite (formerly Stackdriver) to maintain system health and optimize costs. - Developing and implementing disaster recovery and data backup strategies to maintain business continuity. -Collaborating with development teams to enable CI/CD pipelines for efficient software deployment using GCP services. -Optimizing resource utilization and cost management through effective scaling strategies and budget monitoring. -Staying current with GCP updates, new services, and best practices to advise on and implement cloud technology advancements. -Providing technical support and troubleshooting for cloud-related issues, including performance bottlenecks and system outages. -Conducting cloud training and workshops for other teams to promote cloud adoption and best practices within the organization. - Excellent skill in GCP cloud to implement bigdata related services. - Professional level certification is completed in GCP. - Skill to Understand requirements and implement or provide solution in GCP cloud. - Working experience with various GCP services like cloud storage, IAM, dataflow, dataproc, cloud logging, monitoring, cloud function, Bigquery. - Certified AWS solution architect associate with experience of monitor and managing infrastructure. - Certified Linux administrator with good experience in Linux. - Experience in configure, install and upgrade environments (e.g. standalone, coordinated, clustered) throughout the product life cycle (Development, Testing, UAT, Production) for internal and external users. - Solid background in Linux and Windows server system administration - knowledge in Docker, kubernetes.
Develop a roadmap for infrastructure modernization (cloud migration, virtualization, automation, etc.). Align infrastructure plans with business goals and digital transformation strategies. Define future-state architecture (e.g., cloud-native, hybrid, edge computing). Lead initiatives to migrate workloads to cloud platforms (AWS, Azure, GCP). Oversee virtualization of infrastructure (VMware, Hyper-V, KVM). Implement container platforms (Docker, Kubernetes). Replace or upgrade legacy systems. Introduce Infrastructure as Code (IaC) using tools like Terraform, Ansible, or CloudFormation. Automate provisioning, configuration, and monitoring of infrastructure. Work closely with DevOps teams to integrate CI/CD pipelines. Ensure the transformed infrastructure meets security and compliance standards. Implement identity and access management (IAM), encryption, firewalls, and monitoring tools. Collaborate with security teams to mitigate risks during transformation. Optimize resource usage to reduce operational and capital expenditure. Recommend pay-as-you-go models, reserved instances, and rightsizing. Prepare technical and business documentation. Present transformation progress, issues, and ROI to leadership. Manage or support infrastructure transformation
-Implemented automated deployment strategy from dev to qa to uat to prod. -Troubleshoots dataflow issue, permission issues. -Design real time (dataflow) deployment with all restricted permission. -Managing event based function. -Deployment of dataproc clusters with managed configuration using startup script.
-Working as cloud DevOps engineer. -Working on automation for gcp deployments. -Responsible automation of bigquery component. -Understanding requirement and implement plan for new strategy. -Implementation of deployment strategy using GIT. -Created pipeline for deployment of SP, VIEW, DML using Jenkins CI tool. -Created Deployment pipeline for Dataflow, Cloud function also sent notification using mail. -working on shell script for automation.
-working on Google cloud platforms. -managing Google cloud infrastructure using terraform. -working with team for implementation of data science project on google cloud platform using terraform. -implementation of ci_cd pipeline for composer, bigquery. -monitoring implemented projects and troubleshooting error.
-Working on DevOps development and support (like Jenkins CI/CD, GIT, Maven) -Working on deployment tools - Ansible (playbooks and roles), Kubernetes and Containers (Docker) -working on Public cloud development AWS or private Clouds. -working on DevOps tools (monitoring and tracing tools, security, logging ) -working on Linux (like Ubuntu, RHEL) and familiar with shell scripting.
Participation and Contribution in migration of servers from current data center to Amazon Web Services Cloud. Implementing CI/CD pipeline on Linux platform. Automating daily task using shell scripting. Creating Docker container using Docker file. Configure Linux Machines using Ansible Master. configuring Git and Git hub and managing local and central repositories. Adding Services in Nagios server using plugins and Monitoring infrastructure machines. Doing various Linux Administrator tasks. Created VPC Peering between multiple VPC into various AWS accounts. Configuration and management of Apache / Tomcat servers. Installation of LAMP server and Doing various configuration. Managing Networking like Vlan, LAN, WAN, Firewalls, Ports etc. Troubleshooting problem in Linux Desktop.