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Lord, Abbett & Co. LLC

Senior Platform Engineer – Kubernetes & Middleware Platforms

Lord, Abbett & Co. LLC, Jersey City, New Jersey, United States, 07390

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Overview

We’re seeking a strategic technologist and Kubernetes/Container platform engineer with 15+ years of experience to lead and scale our Kubernetes container platform and middleware stack. You will architect, deploy, operate, and evolve high-availability Kubernetes infrastructure (EKS and OpenShift), ensuring seamless middleware operations (Kafka, Redis Enterprise Cluster, 3Scale API Gateway). You will automate container deployment (ArgoCD), enforce container security and network policies, oversee capacity planning, helm chart development, and define policies-as-code governance across the environment. Your mission is to deliver a hardened, future-ready platform that enables multiple engineering teams to develop, deploy, and scale cloud-native applications reliably and securely. We’ll Trust You To

Design and implement infrastructure abstractions and APIs that simplify deploying AI workloads using Kubernetes-native operations and GitOps patterns. Architect, deploy, and manage Kubernetes platforms (AWS EKS and Red Hat OpenShift) across different environments. Implement GitOps workflows with ArgoCD to manage declarative app deployments. Design and operate middleware infrastructure: Highly available Kafka clusters (mirroring, partitioning, tooling) Managed Redis Enterprise clusters (sharding, high-availability, replication) 3Scale API Gateway development and administration Build and manage helm charts, templating, parameterization, and versioning for both platform and middleware stacks. Enforce container security and policy governance using policies-as-code tools (e.g. OPA, Kyverno), scanning (e.g. Clair, Snyk), and automated admission controls. Implement network policies (Kubernetes NetworkPolicy / Calico) to enforce segmentation and micro-segmentation. Configure and manage service mesh (e.g. Istio, Linkerd) for observability, traffic controls, and secure service-to-service communication. Conduct capacity planning, cluster sizing, resource tuning, and autoscaling strategies. Conduct architecture reviews, train engineers, and drive platform best practices across teams. Partner with SREs to define platform SLAs, uptime targets, resilience benchmarks, and alerting/monitoring. Lead incident response and root cause analysis, automating recovery workflows and improving platform resiliency. Qualifications

15+ years of overall engineering experience, including: At least 8+ years with Kubernetes platforms (EKS, OpenShift) in production. Experience in managing streaming and caching infrastructure at scale (Kafka, Redis Enterprise Clusters). Hands-on administration or development of API Management / Gateway platforms — preferably Red Hat 3Scale. Demonstrated ability to collaborate with cross-functional teams to deploy AI workloads on Kubernetes or cloud-native platforms. Deep knowledge of DevSecOps principles, container security, governance, and compliance in enterprise environments. Strong automation experience: Helm, GitOps, ArgoCD, IaC (Terraform/AWS-CloudFormation/Ansible). Experience configuring service mesh, network policy controls, and multi-tenancy in Kubernetes. Experience scripting with Python, Bash, Groovy, or equivalent; hands-on experience developing automation tooling, custom Kubernetes operators/controllers, or other platform-level integrations. Thorough understanding of core Kubernetes concepts and observability tooling. Experience with capacity planning, cluster sizing, and performance tuning for critical infrastructure. Strong troubleshooting skills across Kubernetes, middleware, and distributed systems; experience leading incident response and root cause analysis. Preferred Qualifications

EKS and/or OpenShift administration certification (CKA, AWS Certified Kubernetes Administrator, Red Hat Certified OpenShift Administrator, or equivalent). Knowledge of middleware architecture for high-throughput, low-latency messaging systems. Experience with cloud cost optimization and chargeback models. Familiarity with CI/CD pipelines (Jenkins, GitHub Actions) and alerting (Prometheus, Grafana, ELK/Splunk or similar). Familiarity with CNCF ecosystem tools and emerging trends in platform engineering and cloud-native environments. Why Lord Abbett?

Lord Abbett is a leading global independent, privately held investment management company. We empower our people and invest where we have a repeatable edge and can deliver alpha for our clients. This culture is organized around three pillars: Principles-Based, Performance-Oriented, and Purpose-Driven, focused on trust, excellence, responsibility, transparency, and collaboration. We are committed to equal employment opportunities for all qualified individuals. Compensation Information: Annual base salary for this role is $140,000 - $160,000. Discretionary bonus may apply. Benefits include competitive total rewards, retirement plans, health and well-being plans. To learn more, visit Careers | Lord Abbett. Lord Abbett is an equal employment opportunity employer. We do not accept unsolicited submissions from search firms without a written agreement. See website for details.

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