Harikrishnan T S

Lead Cloud Engineer / DevOps Lead (Azure) Client: US-based Multinational Healthcare & Insurance Company (TCS) In my role as a Lead Cloud Engineer and DevOps Lead, I drive cloud transformation and DevOps excellence for a global healthcare organization, ensuring scalable, secure, and efficient delivery of technology-enabled health services. My responsibilities include: Leading the DevOps team in planning and executing large-scale migration initiatives, ensuring alignment with project goals and timelines. Managing the migration of CI/CD pipelines from Jenkins and Azure DevOps to GitHub Actions, improving automation, maintainability, and deployment efficiency. Defining project deliverables, preparing technical documentation, and creating accurate effort estimations to support project planning. Collaborating with clients and stakeholders to ensure clear communication, requirement alignment, and successful delivery outcomes. Working closely with cross-functional teams to streamline build, release, and deployment processes across environments. Mentoring and guiding junior engineers to enhance technical capabilities and improve overall team productivity. Identifying potential risks in migration and deployment processes and implementing mitigation strategies to ensure zero downtime. Driving cloud cost optimization initiatives to improve resource utilization and reduce operational expenses.

ead Cloud Infrastructure Engineer (Azure DevOps / Admin) Client: Sweden/Belgium – Multinational Industrial Company (Thinkpalm / Atlas Copco) In my role as a Lead Cloud Infrastructure Engineer, I managed and optimized Azure-based infrastructure and DevOps operations for a global industrial organization, ensuring reliable, scalable, and secure application delivery across multiple regions. My responsibilities include: Managing end-to-end application deployments using Azure DevOps across multiple environments, ensuring smooth release cycles. Administering Azure resources including Storage, Azure SQL, Service Fabric Clusters, VM Scale Sets (VMSS), Virtual Networks, Subnets, Network Security Groups (NSG), Load Balancers, Key Vault, and Azure Data Factory (ADF). Configuring and optimizing Azure Monitor alerts and dashboards for proactive monitoring and improved system visibility. Managing Azure SQL Managed Instances, including database creation, backup, and restore operations. Handling scaling operations (scale-up/scale-down) based on application performance and demand. Managing integrations with third-party services such as SendGrid and Google Translate APIs. Supporting and administering Azure DevOps, including branch management, merging strategies, and enforcing branch policies. Managing user access, permissions, and licensing within Azure DevOps environments. Provisioning and configuring infrastructure components such as Service Fabric, VMSS, Key Vault, certificates, service connections, and networking resources. Designing and configuring Load Balancer rules and health probes for high availability. Implementing SendGrid domain authentication, DNS configurations (CNAME), and ensuring reliable email delivery. Troubleshooting deployment and infrastructure issues, ensuring minimal downtime and quick resolution. Implementing CDN solutions for static application hosting and performance optimization.

Technology Analyst (Azure Developer / Admin) Client: US – Fastest Growing Retail Chain (Infosys) In my role as a Technology Analyst, I contributed to cloud transformation and integration solutions for a rapidly expanding US-based retail organization, enabling seamless data flow and scalable application support across eCommerce and POS systems. My responsibilities include: Developing and supporting Azure-based integration solutions, with experience in migrating on-premises systems to the cloud. Gathering and preparing technical requirements to independently deliver Azure development tasks aligned with business needs. Working within Agile methodologies, utilizing tools like Jira for tracking, collaboration, and sprint management. Leveraging Azure services such as Azure Functions, Service Bus, Event Grid, Azure SQL, Storage Accounts, Virtual Machines, and Key Vault for building scalable solutions. Contributing to integration workflows using Azure Databricks and Apache Airflow to process POS data and enable downstream promotional systems. Supporting Magento-based eCommerce integration frameworks hosted on Azure, ensuring reliable communication between distributed systems. Developing Azure Functions (Python) with multiple triggers including HTTP, Timer, Service Bus Topic, and Event Grid for enterprise system integrations. Implementing data replication between on-premises SQL Server and Azure SQL Database using Azure SQL Data Sync. Configuring Azure Monitor alerts across services to ensure system reliability and proactive issue detection. Automating file transfers between Azure and downstream systems using AzCopy integrated with Python scripts.

Support Engineer (Control-M Automation Tool) Client: Australia – Financial Services Company (Infosys) In my role as a Support Engineer, I managed batch processing and workload automation for a leading financial services organization, ensuring reliable execution of critical business operations across production and non-production environments. My responsibilities include: Managing and monitoring batch workloads using Control-M, ensuring timely execution of jobs in daily operations. Creating, scheduling, and maintaining batch jobs using the Control-M workload automation tool. Configuring job schedules based on business calendars, including holidays and special processing requirements. Handling incidents, problems, and change requests through ServiceNow, prioritizing tasks and ensuring timely resolution and communication with stakeholders. Troubleshooting production issues and implementing corrective actions to maintain system stability and performance. Providing regular status reports and updates to clients on batch processing and issue resolution. Delivering L2/L3 support for critical processes, ensuring minimal downtime and quick recovery from failures. Contributing to automation initiatives within Control-M to improve batch efficiency and reduce manual intervention.