Site Reliability Engineer

What you will do

• You will manage and support AWS infrastructure and troubleshoot issues across AWS Linux and Ubuntu environments.
• You will deploy and maintain applications using Docker, Kubernetes, and Helm.
• You will monitor Kubernetes workloads, pods, services, deployments, configurations, and troubleshoot failures.
• You will develop, maintain, and troubleshoot CI/CD pipelines using Jenkins and GitHub Actions, with code maintained in Bitbucket/GitHub/GitLab.
• You will automate application deployments, validations, rollbacks, and repetitive operational activities.
• You will monitor applications and infrastructure using Splunk, Dynatrace, Grafana, Prometheus, ELK, and CloudWatch.
• You will analyze logs, metrics, alerts, and performance data to identify issues proactively.
• I will follow Change, Release, Hot Fix, and ECRQ processes according to ITIL/ITSM standards.
• I will work with ServiceNow, Remedy, Jira, and Rally for incident, change, problem, and release tracking.
• I will troubleshoot MySQL/database-related issues and coordinate with database teams when deeper investigation is required.
• I will use Bash and Python to automate health checks, monitoring, log analysis, deployment activities, and operational tasks.
• I will troubleshoot Akamai traffic-routing issues and application connectivity problems.
• I will support Kafka and Axon API related issues, including message flow, connectivity, and application integration problems.
• I will apply Agentic AI where appropriate for log analysis, incident detection, deployment assistance, auto-remediation, and escalation.

What you know

• Cloud: AWS
• Containers: Dockers, Kubernetes, Helm
• Job / Scheduler time-based scheduling: Crontab
• CICD: Jenkins, Bit bucket, Github Action
• ITIL/ITSM: Incident, Problem, Change, Release, Hot fix, ECRQ Management
• Certificate Renewal: Venafi / CerTIS
• Database: MySQL, SQL Developer
• Operating systems: AWS Linux Machine, Putty, Ubuntu
• Monitoring: Splunk, Dynatrace, Grafana, Prometheus, ELK, and Cloud-Watch
• Service Management Tool: Remedy, Jira, Service Now, Rally
• Version Control: Bit bucket, Github, Gitlab
• Scripting: Bash Shell, Python
• Traffic Routing: Akamai
• Publish/subscribe messaging: Apache Kafka, Axon API
• Visa Advanced Authorization (AI-powered) Real-time fraud scoring for card transactions.
• MasterCard Decision Intelligence – AI-based fraud detection integrated into payment networks
• Stripe Radar – AI fraud prevention for online payments, useful for digital on boarding and secure checkout
• Copilot -CI/CD pipeline scripting, Kubernetes YAML generation, and cloud resource configuration, documentation and automation.

Agentic AI - Deployments, monitor logs, auto-remediate incidents, and escalate issues. Role & responsibilities

Preferred candidate profile