Senior Cloud Systems/Platform Engineer

Location: Gurgoan

Exp: 7+Yrs

Provide Follow-the-Sun Linux operations coverage; monitor, respond to incidents, and perform root cause analysis.
Administer Rocky Linux / RHEL / CentOS systems across on-prem datacenters (SF, CO, Amsterdam) and cloud environments.
Design and maintain Ansible playbooks, roles, and inventories for configuration management, patching, and deployments.
Manage OS lifecycle and patching using tools such as Foreman, Satellite, or equivalent.
Build and maintain Jenkins CI/CD pipelines (declarative/Jenkinsfile); integrate automation tooling into release workflows.
Manage Git repositories and IaC version control; enforce code review and change management practices.
Support workloads in GCP, AWS, and/or Azure; contribute to cloud migration projects.
Work with Kubernetes for containerized workload operations and deployments.
Lead and contribute to migration of legacy monitoring platforms to Datadog, including APM, centralized logging, security monitoring, dashboards, and alerting.
Evaluate and integrate AI-assisted tooling into automation and operational workflows (e.g., AI-powered observability, LLM-assisted scripting, intelligent alerting).
Write clean, maintainable Bash and Python scripts for operational tooling.
Participate in on-call rotation; collaborate daily with US-based engineers and management.




Administer and troubleshoot Java application servers (Web Logic, Tomcat) and web servers (NGINX, Apache).
Requirements

Linux sysadmin experience in production enterprise environments (Rocky Linux, RHEL, CentOS).
Hands-on Ansible/AWX - writing playbooks, roles, and inventories from scratch.
Jenkins CI/CD pipeline experience (declarative syntax / Jenkinsfile).
Git proficiency - branching strategies, IaC version control, PR workflows.
Hands-on cloud experience - AWS preferred, GCP and Azure helpful. Ability to administer and deploy workloads, not just familiarity.
Shifted schedule availability for US morning overlap.
Solid English communication skills - daily collaboration with US team.

Nice-to-have:
Kubernetes experience.
AI tooling exposure - AI-assisted observability, LLM-integrated scripting, or automation platforms with AI capabilities.
OS patch management tooling: Foreman, Satellite, or equivalent.
Java app server administration: Web Logic, Tomcat.
Infrastructure-as-code in cloud environments.
Additional CI/CD tooling: Git Lab CI, Git Hub Actions, ArgoCD.
Monitoring/observability platforms - Datadog preferred; Checkmk, Nagios, Zabbix, or similar also relevant.
F5 BIG-IP or enterprise load balancer exposure.
Multi-cloud (AWS + Azure/GCP) experience.

📌 Senior Cloud Systems/Platform Engineer (Gurugram)
🏢 TRIGENT SOFTWARE PRIVATE
📍 Gurugram