Hritick Arunachalam
Chennai
Summary
A versatile Cloud and DevOps engineer with extensive experience in cloud infrastructure monitoring, deployment, and troubleshooting. Proficient in designing, implementing, and managing infrastructure using a blend of vendor-neutral and platform-specific tools. Recognized for strong leadership skills, exceptional organizational abilities, and a strategic approach to automating processes and improving operational efficiency. Adept at collaborating with cross-functional teams to deliver scalable and reliable cloud solutions.
Overview
2
2
years of professional experience
5
5
Certification
Work History
Cloud Operations Engineer
Mad Street Den
04.2024 - Current
- Implemented EKS/AKS/GKE cluster upgrades periodically.
- Designed and deployed a robust infrastructure capable of accommodating sudden traffic spikes by leveraging EKS with Karpenter/Spotinst for autoscaling, AKS with dynamic node pool scaling, and GKE’s Autopilot mode for seamless management of cluster resources, ensuring optimal performance and high availability even under unexpected load conditions.
- Assisted in migrating legacy applications from AWS to Azure and GCP.
- Implemented KEDA (Kubernetes Event-Driven Autoscaling) to dynamically scale Kubernetes workloads based on external events and metrics. Configured KEDA scalers to respond to event triggers from sources like Kafka and custom metrics, optimizing resource utilization and ensuring responsive scaling for varying workloads.
- Designed and implemented containerization strategies using Docker and Kubernetes, improving resource utilization and management.
- Set up a full-fledged observability stack featuring Prometheus for metrics scraping, Grafana for dashboards and log visualization using Loki and Promtail, and AWS infrastructure monitoring with CloudWatch.
- Maintaining the ELK stack and Apache Solr stack for logging and search purposes.
- Implemented periodic security patches and upgrades resulting in a raise in the security score of up to 88%.
- Implemented operational improvements that resulted in cost savings of up to 40%.
- Automated cost scripts for all three major cloud platforms (Tag-wise, multi-account-wise, etc.).
- Utilized AWS reserved instances and spot instances to achieve a cost reduction of approximately 50% on EC2 compute resources.
- Implemented Azure reserved instances and spot VMs to realize a cost savings of around 45% on Azure compute resources.
- Utilized various AWS pricing mechanisms, including spot instances, reserved instances, and savings plans, to optimize costs across EC2, and other services.
- Participated in a cloud operations team's on-call support rotation, ensuring 24x7x365 coverage for critical core and customer infrastructure.
- Troubleshot storage and network-related issues and provided long-term solutions for them.
- Led the deployment of a comprehensive stack with over 50 services, utilizing both self-managed and cloud solutions across AWS, Azure, and GCP, to boost flexibility.
- Setup Azure Ingress controller both using helm and AGIC as an Add-on ensuring a healthy Application Gateway and backend pools.
- Conducted regular audits of cloud environments to ensure adherence with established policies and regulatory requirements, recommending corrective actions where necessary.
Engineering Trainee
Mad Street Den
06.2023 - 04.2024
- Managed AWS EC2 instances for scalable compute resources, configured Lambda functions for serverless computing, and optimized SQS and SNS for message queuing and notification services.
- Managed AWS RDS instances, including multi-AZ deployments for high availability, automated backups, and performance optimization. Implemented read replicas, configured encryption, and utilized Database Migration Service (DMS) for seamless data migration and minimal downtime.
- Deployed and configured Redis clusters for in-memory data caching and storage, enabling high-performance applications. Implemented replication, persistence, and cluster mode for enhanced scalability and availability, and fine-tuned configurations to optimize performance.
- Developed and deployed serverless applications using AWS Lambda, integrating with S3, SNS, and SQS for event-driven workflows. Optimized Lambda functions with appropriate memory settings and provisioned concurrency, and monitored performance with CloudWatch for reliability and scalability.
- Utilized AWS S3 for scalable object storage, ensuring efficient data management and accessibility.
- Developed automated scripts to monitor traffic flowing through the NAT gateway, enabling real-time visibility and analysis of network traffic patterns and performance.
- Implemented and managed Identity and Access Management (IAM) policies to ensure secure and efficient access control across AWS, GCP, and Azure. This includes creating and managing user accounts, groups, and roles, setting up multi-factor authentication, and defining permissions and policies to adhere to the principle of least privilege. Regularly audited access permissions and user activities to maintain compliance and enhance security.
Engineering Intern
Mad Street Den
12.2022 - 05.2023
- Automated cost scripts for all three major cloud platforms (Tag-wise, multi-account-wise, etc.).
- Participated in failure analysis and debugging report activities.
- Generated cost estimates for inclusion in proposed capital and expense budgets.
- Implemented and managed Identity and Access Management (IAM) policies in AWS
Education
B.Tech - Computer Science And Programming
SRM Institute of Science And Technology
Chennai, India05.2023
Skills
- Continuous Integration and Deployment (CI/CD) Workflows
- Source and Version Control: Git
- Automation: Infrastructure as Code (IaC), Terraform, Ansible, SSM, Pulumi
- Cloud Platforms: Amazon Web Services (AWS), Google Cloud Platform (GCP), Azure DevOps
- Operating Systems: Linux Systems Environments, Linux Operating System
- Programming Languages: Python, C, Basic HTML and CSS
- Containerization and Orchestration: Docker Deployment, Kubernetes Administration
- Monitoring and Logging: ELK Stack Integration, Monitoring and Alerting
- Networking: Network Configuration, Network Fundamentals, Network Troubleshooting, Load Balancing, Network Scaling
- Security: Data Security, Security Vulnerability Assessment, Security Protocols
- Database and Storage: Database Administration, Storage Area Networks
- Search: Apache Solr
- Debugging and Troubleshooting
- Disaster Recovery
- Cost Optimization
- Performance Optimization
Certification
- Certified AWS Certified Solutions Architect Associate
- Certified AWS Certified Cloud Practitioner
- Certified Azure Data Fundamentals
- Oracle Cloud Infrastructure Certified Architect Associate
- Fundamentals of Red Hat Enterprise Linux, Coursera
Timeline
Cloud Operations Engineer
Mad Street Den
04.2024 - Current
Engineering Trainee
Mad Street Den
06.2023 - 04.2024
Engineering Intern
Mad Street Den
12.2022 - 05.2023
B.Tech - Computer Science And Programming
SRM Institute of Science And Technology
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