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VP, Container Engineering

Job in Fort Mill, York County, South Carolina, 29715, USA
Listing for: LPL Financial
Full Time position
Listed on 2026-07-31
Job specializations:
  • IT/Tech
    Systems Engineer, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below

VP, Container Engineering

Lead with Purpose, Unlock Your Team's Passion

At LPL, people leaders hold the key to the employee experience — shaping culture, driving performance, and guiding individuals to new heights. Because when that happens, we all win – clients, LPL, and most importantly our, employees.

If you're ready to lead with intention and discover what's possible, LPL Financial invites you to apply today.

Kubernetes at LPL is where an AWS-first cloud strategy meets the daily operational reality of a Tier 1 financial firm. We run Amazon EKS across a multi-account landing zone, partner with Fin Ops to make every node count, and deliver a paved-road, self-service experience that gets application teams to production safely and quickly. If you want to set the multi-year direction for containers — including potential expansion into ECS and Open Shift on-prem — while staying hands-on in cluster upgrades and incident command and leading a globally distributed team across the US and India, this is your seat.

Job Overview:

As the VP, Container Engineering, you lead the Containers team in LPL's Cloud Center of Excellence (CCOE). You own the strategy, architecture, implementation, and operations of LPL's container platform — primarily Amazon EKS — across our multi-account landing zone, and you set the direction for potential expansion into ECS as a workload-migration target and Open Shift on-premises as a hybrid runtime.

You partner closely with the Fin Ops pod (within Foundations) to make EKS more cost-effective while improving stability, and you deliver a paved-road, self-service experience for application teams. LPL is an AWS-first CCOE: a multi-account landing zone with 100+ private reusable Terraform modules that enable 60+ AWS services, all delivered through Terraform Cloud and Git Hub Actions. You are both a people leader for a globally distributed team across the US and LPL's India GCC and a hands-on senior platform engineer who contributes directly to cluster upgrades, Terraform/Helm modules, and incident response.

Responsibilities:

  • Lead the Containers team in CCOE: own the strategy, architecture, implementation, and operations of LPL's container platform — primarily Amazon EKS — across the multi-account landing zone
  • Set the multi-year container strategy: cluster topology, multi-tenancy, upgrade cadence, supported add-ons, ingress, service mesh (where applicable), Git Ops (ArgoCD/Flux), and CI/CD integration
  • Partner closely with the Fin Ops pod (within Foundations) to drive container cost efficiency:
    Karpenter, Spot, right-sizing, namespace chargeback, Kubecost or equivalent, cost-anomaly detection, and platform-level Fin Ops guardrails
  • Drive platform stability, reliability, and SRE practices: SLOs, golden signals, error budgets, capacity planning, controlled upgrades, and blast-radius reduction
  • Deliver a self-service container experience for application teams: opinionated Terraform/Helm modules, golden paths, scaffolding, namespace vending, RBAC automation, and Internal Developer Platform (Backstage-class) integration
  • Co-own multi-account landing zone integration for containers in partnership with the Network Engineering, Security & Governance, Fin Ops, and Functional Design Engineering & Strategy pods within Foundations (IRSA, Pod Identity, network policy, Network Firewall integration, image signing, runtime defense)
  • Lead the evaluation, design, and (if approved) operationalization of additional workload runtimes: ECS as a workload-migration target for cost and operational simplicity, and potential support for Open Shift on-premises as a hybrid runtime
  • Embed agentic AI capabilities into the team's engineering practice (e.g., Cursor, Claude Code, Bedrock, MCP servers, agentic IaC and review workflows) and into the platform's self-service experience for internal customers
  • Embed agentic AI capabilities into the container platform and developer workflow: AI-assisted manifest generation, automated upgrade impact analysis, copilots for cluster operators, and MCP-backed agents for self-service
  • Recruit, develop, mentor, and retain a globally distributed team of senior cloud engineers across LPL's US…
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