Sr Manager, Platform Engineering

Job Description:

Flexential is hiring a Platform Engineering leader in the IT organization to plan roadmaps, establish requirements, develop and operationally manage platform technologies including Observability, Dev Ops, ITSM and Integrations. Current platform initiatives include building a next-gen Open Telemetry observability platform for 40+ data center facilities and platforms using a LGTM stack (Loki, Grafana, Tempo, Mimir); and enabling secure high-velocity SDLC capability enabling paved pathways, engg excellence measurements and devsecops across multiple development teams.

This role sits at the intersection of engineering management and hands-on technical work. You will lead a team of platform engineers, create/capture requirements, establish and own technical planning and implementation, and be accountable for platform reliability, security, and delivery timelines. This is a high-visibility, high-impact role — the platforms you build will be foundational to Flexential's IT services, as well as enable AIOps and AI infrastructure.

Key Responsibilities and

Essential Job Functions:

Lead the design, development, deployment and operational management of automated, resilient, high availability, self-healing, secure platforms with native-AI capabilities for IT needs, serving both internal as well as customer business capabilities.

Lead, Build and manage the Platform Engineering team and function — hiring, mentoring, performance management, and technical roadmap ownership.

Plan, build and operate an Open Telemetry Observability platform with technologies including Grafana, Mimir, Loki, Tempo, Alert manager on Kubernetes/RKE2 using Helm and ArgoCD.Build an automated federated Observability Edge Stack — Prometheus + OTel collector nodes deployed per site and Zabbix auto-discovery configuration and Prometheus scrape profile library for 10+ device classes (Cisco, Juniper, Dell, Net App, etc.).Design, develop and manage engineering lifecycle platforms for high-velocity secure SDLC using Gitlab and similar / related technologies.

Build and operate iaC and CI/CD platforms including Git Lab CI/CD, Terraform, Ansible AWX, Helm, and ArgoCD for automated provisioning and application deployment.

Own, enhance and operate critical IT platform technologies e.g Boomi for integrations, AWS for Cloud environments, including their hosted infrastructure.

Establish and enforce platform security posture: secrets management via Cyber Ark/Conjur, RBAC, mTLS, compliance boundary design, and zero inbound telemetry architecture.

Build and integrate ITSM capabilities for various platforms e.g automated incident creation, CI enrichment, and CMDB correlation

Define and implement extensibility patterns including AIOps: e.g anomaly detection hooks, event correlation pipeline design, and integration with future ML/AI tooling.

Partner with other IT and business teams for App Dev, requirements capture, delivery validation and integration needs.

Represent platform engineering in cross-functional architecture reviews and executive-level program updates.

Perform other management and technical duties as required and assigned for team and operational resilience e.g team building, on
-call rotation, etc Travel maybe required to team or project events

Required Qualifications
12+ years of relevant technical experience with 4+ years in a management (or Principal-level) role leading a engineering team

DevOps / Platform Engineering - 8+ years, End-to-end ownership of developer/infrastructure platforms;
Kubernetes, Helm, ArgoCD, service-mesh, containerized workloads

GitOps / CI-CD - 5+ years Git Lab CI/CD, pipeline authoring, infrastructure-as-code delivery8+ years of expert level automation frameworks experience with Python, Terraform, Ansible, etc.

Infrastructure (Linux/VM) - 8+ years Linux systems administration, VM lifecycle (VMware vCenter/VCF), Netapp storage and compute provisioning

Working knowledge of Networking - 3+ years, TCP/IP, BGP/OSPF, SNMP protocol AI tooling – Strong understanding (or 1+ years experience) with MCP, Agentic workflows, SRE workflows e.g AIOps for Anomaly detection, event correlation, alert noise reduction on Prometheus and…