Summary
Overview
Work History
Education
Skills
Websites
Timeline
Generic
SURYADEEP M.

SURYADEEP M.

St.Charles,United States

Summary

Dynamic SRE at HCL Technologies with expertise in Docker and Kubernetes, achieving a 30% reduction in system downtime. Proven problem solver and effective communicator, I excel in automating CI/CD pipelines and optimizing cloud infrastructure, driving significant improvements in deployment efficiency and resource utilization.

Overview

4
4
years of professional experience

Work History

SRE

HCL Technologies
03.2021 - 09.2022
  • Containerized applications using Docker, improving application portability across environments and enabling smooth scaling, which reduced system downtime by 30%.
  • Developed and maintained CI/CD pipelines using Jenkins and GitLab CI for automating the deployment of microservices, reducing manual intervention by 85% and ensuring consistent code delivery.
  • Implemented Infrastructure as Code (IaC) with Terraform, automating the provisioning of AWS/GCP resources, resulting in a 50% reduction in setup time for new environments.
  • Optimized Docker container performance by managing resources, applying best practices for image building, and minimizing container startup times by 20%.
  • Managed the container orchestration of microservices using Docker Swarm and Kubernetes, ensuring high availability, scalability, and load balancing of production services.
  • Automated infrastructure provisioning and scaling using Terraform scripts, reducing infrastructure deployment times by 60% and ensuring consistent configurations across environments.
  • Integrated Docker container scanning tools like Anchore and Aqua Security into CI/CD pipelines, improving security compliance and reducing vulnerabilities by 35%.
  • Designed and implemented blue/green deployments and rolling updates for production environments using Jenkins pipelines, reducing service disruptions during deployment to under 5 minutes.
  • Configured and maintained Docker registries, managing private repositories and ensuring optimized image storage and retrieval, leading to a 15% improvement in image pull speeds.
  • Monitored and optimized infrastructure performance using Prometheus, Grafana, and custom Terraform modules, achieving a 25% improvement in resource utilization and system uptime.
  • Deployed infrastructure using Terraform in a multi-cloud environment (AWS, Azure), ensuring efficient resource allocation, reducing infrastructure costs by 20%.
  • Automated testing and deployment workflows in CI/CD pipelines, implementing unit and integration tests using Docker containers, leading to a 40% reduction in post-deployment defects.
  • Azure Cloud Infrastructure Management: Leveraged 2+ years of experience with Azure to support cloud-based infrastructure, optimizing performance, scalability, and cost-effectiveness across multi-tenant environments.
  • Infrastructure as Code (IaC) with Terraform: Designed and implemented IaC solutions using Terraform, creating reusable modules to automate provisioning, scaling, and monitoring of cloud resources, contributing to a more reliable and consistent cloud infrastructure.
  • CI/CD Pipeline Development with GitHub Actions: Configured and maintained CI/CD pipelines in GitHub Actions to streamline code deployment, automate testing, and ensure continuous delivery of applications within Azure Kubernetes environments.
  • Kubernetes and Docker Orchestration: Utilized Kubernetes and Docker to deploy, manage, and scale containerized applications, implementing infrastructure automation that enhanced deployment speed and reduced manual intervention.
  • Collaborative Support and Cross-Functional Engagement: Engaged with engineers, product teams, and leadership to provide ongoing infrastructure support for an analytics platform, integrating feedback to drive improvements in cloud operations and deployment pipelines.
  • Cost Management and Optimization: Applied best practices for cost management within Azure, analyzing resource usage to suggest optimizations, reduce cloud spending, and ensure efficient infrastructure scaling.
  • Disaster Recovery Planning: Contributed to the development of disaster recovery protocols, ensuring data integrity and availability for critical systems in the event of infrastructure outages or service disruptions.
  • Updated and maintained databases with current information.
  • Utilized various software and tools to streamline processes and optimize performance.
  • Recognized by management for providing exceptional customer service.
  • Exceeded customer satisfaction by finding creative solutions to problems.
  • Provided support and guidance to colleagues to maintain a collaborative work environment.
  • Worked with cross-functional teams to achieve goals.
  • Worked successfully with diverse group of coworkers to accomplish goals and address issues related to our products and services.
  • Completed day-to-day duties accurately and efficiently.
  • Contributed innovative ideas and solutions to enhance team performance and outcomes.

DevOps Engineer

Sree Sarvaraya Sugars Ltd
India
04.2019 - 03.2021
  • As a Kubernetes, Ansible, and Azure DevOps Engineer, I design and manage containerized applications using Kubernetes, ensuring high availability and scalability through automation with Helm and Kubernetes features like auto-scaling.
  • I also automate infrastructure provisioning and configuration management using Ansible playbooks, enabling consistent and repeatable deployments.
  • In Azure DevOps, I build and maintain CI/CD pipelines, automating code deployments and integrating infrastructure as code (IaC) using Terraform or ARM templates.
  • I ensure robust monitoring with tools like Prometheus and Azure Monitor while adhering to security best practices like role-based access control (RBAC) and governance policies, optimizing performance and system health across cloud environments.
  • Designed and managed containerized applications using Kubernetes, ensuring high availability and scalability through Helm charts and Kubernetes features like Horizontal Pod Autoscaling (HPA), reducing manual scaling efforts by 80%.
  • Automated infrastructure provisioning using Ansible playbooks, standardizing configuration management across environments, resulting in a 50% reduction in deployment errors.
  • Built and maintained Azure DevOps CI/CD pipelines, automating code deployments and ensuring seamless integration of application builds, which improved deployment efficiency by 60%.
  • Implemented Infrastructure as Code (IaC) using Terraform and Azure Resource Manager (ARM) templates, automating the provisioning of cloud resources and reducing infrastructure setup time by 40%.
  • Optimized Kubernetes deployments through automation, implementing rolling updates and canary releases, reducing application downtime during updates to near-zero.
  • Automated system monitoring using Prometheus and Azure Monitor, setting up custom dashboards and alerts to proactively identify performance issues, reducing incident response times by 30%.
  • Enhanced security practices by implementing role-based access control (RBAC) and governance policies in Azure, ensuring that only authorized users had access to critical resources.
  • Optimized application performance by configuring Kubernetes auto-scaling and resource allocation strategies, leading to a 20% improvement in resource utilization.
  • Streamlined infrastructure provisioning for Kubernetes clusters using Ansible, ensuring consistent, repeatable deployments across multiple environments, improving deployment times by 35%.
  • Collaborated with development teams to integrate Kubernetes, Ansible, and Azure DevOps best practices, reducing the overall deployment cycle from 1 day to 3 hours.
  • Ensured system reliability and performance by implementing end-to-end monitoring, logging, and alerting using Prometheus and Azure Monitor, reducing downtime incidents by 25%.
  • Implemented security best practices in Kubernetes and Azure environments, including setting up network policies, secret management, and enabling encryption for sensitive data, leading to zero security incidents over a 12-month period.

Intern

HCLTech
India
04.2018 - 09.2018
  • As a cloud engineer, I focused on delivering robust cloud solutions while working closely with cross-functional teams to achieve business objectives.
  • Assisted in building and maintaining CI/CD pipelines using Jenkins and GitLab CI, automating code deployments and reducing manual deployment efforts by 50%.
  • Worked with cloud infrastructure on AWS and Azure, provisioning and configuring cloud resources for development and production environments.
  • Gained hands-on experience with containerization using Docker, creating Docker images and containers to standardize application environments across teams.
  • Automated infrastructure provisioning using Terraform and ARM templates, enabling consistent and efficient cloud infrastructure deployments.
  • Assisted in setting up and managing Kubernetes clusters, learning how to scale and manage containerized applications in a cloud environment.
  • Wrote Ansible playbooks to automate configuration management tasks, ensuring consistency across environments and reducing configuration errors by 30%.
  • Worked with monitoring and logging tools like Prometheus, ELK Stack, and Azure Monitor, helping to set up alerting systems for proactive issue detection.
  • Collaborated with the DevOps team to streamline deployment processes and integrate best practices, reducing deployment time from hours to minutes.
  • Enhanced cloud security by implementing IAM policies, network security groups, and encryption mechanisms, following cloud provider best practices.
  • Assisted in managing version control using Git and GitHub, collaborating on code repositories and maintaining clean commit histories for the team.
  • Supported cloud cost optimization efforts, identifying underutilized resources and recommending strategies to reduce cloud spending by 10%.
  • Contributed to the documentation of DevOps processes, including infrastructure provisioning, CI/CD workflows, and cloud resource management, improving knowledge sharing across teams.
  • Implemented automated backups for cloud resources using AWS S3 and Azure Blob Storage, ensuring data integrity and enabling quick recovery in case of failures.
  • Assisted in troubleshooting and resolving infrastructure issues, working with senior engineers to diagnose problems in CI/CD pipelines, cloud environments, and application deployments, reducing incident resolution time by 20%.

Education

Master's degree - Computer Science

Webster University
05.2023

Bachelor of Technology - BTech - Computer Science

GITAM Deemed University
01.2019

Skills

  • Devops
  • Cloud
  • SRE
  • AWS
  • Azure
  • Jenkins
  • Terraform
  • Docker
  • Kubernetes
  • Ansible
  • Splunk Enterprise
  • Dynatrace
  • Opentowork
  • Infrastructure automation
  • CI/CD pipeline development
  • Container orchestration
  • Cloud resource management
  • Disaster recovery planning
  • DevOps methodology
  • Cross-functional collaboration
  • Agile practices
  • Problem solving
  • Effective communication
  • Continuous learning
  • Security best practices
  • Continuous integration
  • Continuous deployment
  • Developer collaboration
  • Network fundamentals
  • Test automation
  • Meeting participation
  • Script maintenance and updates
  • Virtualization technologies
  • System administration
  • Software development
  • IT solution development
  • Microservices architecture
  • Linux operating system
  • Monitoring and logging
  • Maintenance and troubleshooting
  • Incident management
  • Containerization technologies
  • Windows operating system
  • Configuration management
  • Web programming
  • Analytical thinking
  • Interpersonal skills
  • Software development standards
  • Cross-platform development
  • Database management software
  • Object-oriented programming
  • Virtualization
  • Software architecture
  • Multitasking

Websites

Timeline

SRE

HCL Technologies
03.2021 - 09.2022

DevOps Engineer

Sree Sarvaraya Sugars Ltd
04.2019 - 03.2021

Intern

HCLTech
04.2018 - 09.2018

Master's degree - Computer Science

Webster University

Bachelor of Technology - BTech - Computer Science

GITAM Deemed University

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SURYADEEP M.