SEENIVASAN B

Role Overview:

Working as an AWS DevOps Engineer at Tata Consultancy Services, supporting enterprise cloud infrastructure, Kubernetes/EKS environments, and CI/CD automation for healthcare domain projects. Experienced in AWS services, Terraform, Jenkins, ArgoCD, monitoring, and production support operations. Responsible for infrastructure automation, cloud platform management, incident handling, and improving system reliability across multi-account AWS environments.

Key Responisibility:

• Designed, built, and deployed cloud-native automation workflows using AWS services such as Amazon Web Services Lambda and Glue Jobs.
• Developed reusable automation templates and infrastructure components to improve deployment consistency and operational efficiency.
• Implemented and maintained CI/CD pipelines using GitHub Actions, Jenkins, and AWS CodePipeline for automated deployments and validation workflows.
• Ensured automation solutions adhered to ISRM security standards, compliance requirements, and operational best practices.
• Performed testing, validation, monitoring, and documentation of automation workflows and infrastructure changes.
• Collaborated with Agile teams during sprint planning, stand-ups, retrospectives, and continuous improvement initiatives.
• Managed IAM users, service accounts, and periodic rotation of access keys and secrets across AWS environments.
• Provisioned and managed cloud infrastructure using Terraform with reusable modules and remote backend configurations.
• Led ingress migration activities from NGINX Ingress Controller to Envoy Gateway API within Kubernetes environments.
• Managed Amazon S3 buckets, cross-account access configurations, and bucket policies to ensure secure data access management.
• Maintained CI workflows and code quality scanning integrations using SonarQube and Jenkins pipelines.
• Administered and maintained Amazon EKS clusters, including cluster setup, configuration, monitoring, and ongoing operational support across multiple AWS accounts.
• Configured Amazon CloudWatch monitoring, dashboards, and alerts for AWS resources including EC2, RDS, and S3 services.
• Worked with incident management and ticketing tools such as ServiceNow and IRIS for production support and operational issue resolution.
• Supported Kubernetes-based microservices environments using ArgoCD, Jenkins, Python automation scripts, and AWS cloud services.
• Contributed to infrastructure reliability, deployment automation, observability, and operational excellence initiatives for enterprise healthcare projects including Johnson & Johnson.

Role Overview:
Working in a hybrid DevOps and Site Reliability Engineering (SRE) role, responsible for AWS cloud infrastructure, end-to-end CI/CD pipeline maintenance, microservices deployment, monitoring, and infrastructure stability for both cloud and on-premise environments.

Key Responsibilities:

• Deployed and maintained cloud-native applications leveraging EC2, S3, Lambda, DynamoDB, and Kinesis for scalable and high-availability workloads.
• Hands-on experience with AWS DynamoDB (NoSQL data modeling & optimization), Amazon Kinesis (real-time streaming pipelines), and AWS EventBridge (event-driven orchestration with Lambda & S3 integrations) in production environments.
• Configured custom dashboards, alerts, and anomaly detection in Datadog to monitor application performance and system health.
• Configured and managed Amazon Connect to build cloud-based contact center solutions, integrated with Lambda and DynamoDB for customer call routing, ticketing, and real-time analytics.
• Set up synthetic tests and uptime monitors for key application endpoints to ensure SLA compliance.
• Automated alert routing via Slack and PagerDuty using Datadog integrations
• Set up AWS CloudWatch dashboards, custom metrics, and alarms to monitor Lambda executions, DynamoDB performance, and Kinesis throughput.
• Applied IAM roles/policies, encryption (KMS, SSE-S3), and bucket policies to secure AWS workloads following best practices.
• Utilized Azure Data Explorer (ADX) and Kusto Query Language (KQL) for analyzing application and infrastructure logs at scale.
• Created custom queries, visualizations, and workbooks to identify trends and detect anomalies in operational data.
• Integrated ADX with Datadog and Azure Monitor for centralized observability and data correlation.
• Built alerting pipelines based on ADX query results to proactively identify incidents.
• Optimized ADX cluster performance by managing ingestion pipelines and retention policies.
• Deployed and managed microservices using Jenkins across development, QA, staging, and production environments in both on-prem and AWS cloud infrastructure.
• Containerized applications using Docker and managed container lifecycle and image versioning.
• Performed Kubernetes cluster management tasks using kubectl, including pod creation, scaling, health checks, config maps, and secret management.
• Provided 24/7 on-call support, resolving critical incidents during rotational shifts.
• Maintained and optimized CI/CD pipelines, ensuring smooth and consistent deployments.
• Diagnosed microservice performance issues using Dynatrace and Splunk, raising tickets and tracking resolutions via Jira.
• Monitored infrastructure and application health using Datadog, identifying and resolving cloud instance-level issues proactively.
• Investigated database service outages with Zabbix, ensuring system availability and reliability.
• Configured and maintained NGINX as a load balancer for routing traffic to containerized microservices.
• Streamlined inter-service communication using Kafka, ensuring reliable and asynchronous message delivery.
• Handled SSH certificate renewals on AWS Cloud and maintained secure access protocols.
• Managed Git version control workflows and branching strategies in GitHub.
• Worked with tools like Zendesk, Akamai, ActiveMQ, and Bitwarden for ticketing, content delivery, messaging, and credential management.

• Managed version control systems like Git, ensuring streamlined code integration and collaboration amongst team members.
• Designed and configured cloud-based infrastructure on AWS, enhancing application scalability and reliability.
• Implemented Amazon Connect to enable scalable, cloud-based contact center solutions with automated call flows and seamless AWS service integrations.
• Provided 24/7 on-call support for critical systems, ensuring high availability and rapid issue resolution
• Improved code deployment efficiency by automating processes with CI/CD pipelines.
• Perform maintenance and troubleshooting of continuous integration systems including build and deployment used across multiple environment.
• Provided technical guidance during product planning sessions, aligning business objectives with technological capabilities.
• Deploying code to various environment and generate the build for QA team.
• Optimized build processes using tools such as Jenkins for fast feedback loops in development cycles.
• Collaborated with development teams to streamline software releases, resulting in a faster time to market.
• Maintained version control systems like Git for seamless collaboration among developers and engineers during project lifecycles.
• Monitored automated build and continuous software integration process to drive build/release failure resolution.
• Worked with software development and testing team members to design and develop robust solutions to meet client requirements for functionality, scalability, and performance.
• Creating infrastructure in AWS for technology service provider clients.
• Monitoring background jobs in Appsignal & sidekiq and finding the bottleneck issues.
• Android and iOS apps release management in Playstore and Appstore.
• Reporting production issues in Jira.
• Maintained git workflows(Branch management) for version control(Source Code Management).
• Planning team structure, activities, and involvement in project management activities