Production Support Engineer
Tata Consultancy Services
Experience one of the biggest IT Service companies in the world!! Here you can transform your career!
Why join TCS?
Here at TCS we believe that people make the difference, that's why we live in a culture of unlimited learning full of opportunities for improvement and mutual development. The goal is to expand ideas through the right tools, contributing to our success in a collaborative environment.
We are looking for AWS Production Support
Key Responsibilities
Incident & Service Request Management
Monitor and manage incoming tickets via ServiceNow / ticketing tools.
Prioritize incidents and service requests based on severity and SLA.
Troubleshoot and resolve L1/L2 issues or route to appropriate teams.
Ensure timely updates and communication with users.
Operational Support Activities
Perform daily health checks on systems, applications, and services.
Monitor queues and balance workload to avoid SLA breaches.
Support infrastructure and cloud operations like:
Active Directory
AWS Services (EC2, Lambda, ECS, EKS, CloudWatch)
Work with deployment and infrastructure tools:
Harness – Manage CI/CD pipelines, deployments, and release monitoring
Aptakube – Monitor and manage Kubernetes clusters and workloads
Utilize observability and monitoring tools:
Splunk – Log analysis, alerting, and troubleshooting
Datadog – Infrastructure monitoring, APM, dashboards, and alerting
Support CDN and edge services:
Akamai – Traffic routing, content delivery, caching, and issue troubleshooting
Analyze logs, metrics, and deployment events to identify and resolve issues proactively.
SLA & Performance Management
Ensure all tickets are resolved within defined SLA timelines.
Track KPIs such as:
First Response Time (FRT)
Resolution Time
Ticket backlog
Monitor alerts from Datadog, Splunk, and infrastructure tools.
Ensure deployment and system issues (via Harness/Aptakube) are addressed within SLA.
Escalate critical or aging tickets proactively.
Stakeholder & Customer Communication
Provide regular status updates to users and stakeholders.
Act as a single point of contact for support issues.
Maintain professional communication with end users and leadership.
Coordinate with cross-functional teams (Network, App, Security, DevOps).
Communicate major incidents related to deployments, CDN (Akamai), or infrastructure outages.
Documentation & Knowledge Management
Maintain SOPs, runbooks, and troubleshooting guides.
Update knowledge base for recurring issues and solutions.
Document deployment issues, monitoring alerts, and resolutions.
Maintain documentation for Harness pipelines, Akamai configurations, and Kubernetes troubleshooting (Aptakube).
Ensure accurate ticket documentation and closure notes.
Continuous Improvement
Identify recurring issues using logs, monitoring, and deployment data.
Suggest improvements in:
CI/CD pipelines (Harness)
Monitoring dashboards (Datadog/Splunk)
Cluster management (Aptakube)
CDN optimizations (Akamai)
Improve alert tuning, automation, and deployment reliability.
Participate in process improvement and service optimization.
Support audits, compliance, and reporting requirements.
Required Skills
✅ Technical Skills
Experience with ticketing tools (ServiceNow, Remedy, Jira)
Knowledge of:
Windows OS / MacOS basics
Active Directory & IAM
M365 (Exchange Online, Teams, SharePoint)
Basic networking concepts (DNS, VPN, IP)
AWS cloud services
Experience with DevOps & Platform Tools:
Harness (CI/CD and deployments)
Aptakube (Kubernetes monitoring and management)
Akamai (CDN and edge services)
Experience with Observability Tools:
Splunk
Datadog
✅ Soft Skills
Strong communication and customer handling skills
Problem-solving and analytical thinking
Ability to work in shifts / 24x7 support environment
Time management and prioritization
Typical Day-to-Day Activities
Logging in and reviewing ticket queues
Monitoring alerts from Datadog / Splunk dashboards
Checking Harness pipelines and deployment status
Monitoring Kubernetes clusters via Aptakube
Investigating CDN-related issues in Akamai
Prioritizing incidents and responding to users
Resolving L1/L2 issues or escalating
Performing daily system/service checks
Monitoring SLAs and updating dashboards
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