Sr Platform Engineer

Key Responsibilities and Essential Job Functions

• Design, develop and operationally manage automated, resilient, high availability, self-healing, secure platforms with native-AI capabilities for IT needs, serving both internal as well as customer business capabilities
• Build and manage iaC and CI-CD for automated provisiong and deployment, including Terraform modules for Infra/VM/storage provisioning, Ansible AWX playbooks for OS/App bootstrap, ArgoCD and Helm for Kubernetes configuration.
• Develop and manage OpenTelemetry Prometheus scrape profile library including SNMP exporters, REST API exporters, and cloud provider exporters (CloudWatch, Azure Monitor, GCP) for multiple device classes.
• Develop AIOps capabilities on platforms for e.g Observability use-cases: anomaly detection integrations, event correlation rules in Alertmanager, and synthetic monitoring patterns to reduce alert noise.
• Configure and maintain Zabbix auto-discovery: network range scanning, device classification, and Prometheus service discovery integration.
• Integrate Alertmanager with ServiceNow: webhook routing, ticket enrichment, auto-close logic, and escalation policy configuration.
• Maintain platform security: Conjur/CyberArk secret injection at runtime, mTLS between stack components, RBAC in Grafana Enterprise.
• Author and maintain Grafana dashboards in JSON/GitLab — facility overview, network health, RED metrics, application telemetry.
• Mentor mid-level engineers, lead code reviews, and establish engineering standards for the team. Represent platform engineering in cross-functional architecture reviews and executive-level program updates.
• Perform other duties as required and assigned

Required Qualifications

• DevOps / Automation - 5+ years in a production environment, Kubernetes (RKE2/k3s), Helm chart deployment, system services, Docker/container
• LGTM Stack Development and Configuration - 4+ years: Grafana, Mimir, Loki, Tempo configuration, tuning, dash-boarding and production operations; Prometheus required
• Senior-level Python / Scripting frameworks - 5+ years, Automation scripts, exporter development, GitLab pipeline scripting, REST API integrations
• GitOps / CI/CD - 5+ years, GitLab CI/CD pipeline authoring; Terraform and Ansible as primary IaC tools; ArgoCD or Flux preferred
• AIOps / Observability Engineering - 2+ years, Alertmanager rule authoring, anomaly detection integration, event correlation, noise reduction techniques
• Working infrastructure (Linux/VM) management knowledge - 5+ years, Linux administration, VMware vCenter/VCF experience, Netapp storage management, network fundamentals (SNMP, TCP/IP)
• Secrets Management - 2+ years, CyberArk/Conjur, HashiCorp Vault, or equivalent — runtime secret injection patterns

Preferred Skills

• Experience and/or knowledge of ITSM processes and workflow automation e.g. Incident & Response Mgmt (IRM), Release mgmt., ServiceNow ITSM integration, alert routing, escalation policy design, SLA-driven on-call workflows
• Hands-on experience or working knowledge of Boomi integrations PaaS(iPaaS) technologies
• Hands-on experience working with BAS / BMS systems in a Datacenter / OT environment
• Hands-on experience working with AWS products in a Well-architected Framework and multi-account model to develop various compute, storage, network iaaS and PaaS services for IT applications

Pay Range

Annualized/Hourly salary range offered for this position is estimated to be $150,000 - $165,000. However, the actual pay range depends on each candidate’s experience, location, and qualifications.