Senior Platform Engineer – Cloud, Kubernetes, Java

Jobtailor

Kentucky

On-site

USD 140,000 - 190,000

Full time

14 days+

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Job summary

Fidelity is seeking a senior platform engineer to design, deploy, and operate large-scale Kubernetes clusters and cloud-native infrastructure. You will own self-service developer platforms and golden-path templates while collaborating with Fidelity’s Enterprise Technology Platform Engineering team.

The role emphasizes strong Java/Spring Boot microservices, CI/CD maturity, and hands-on experience with cloud platforms and observability tooling.

Qualifications

  • Bachelor or Master Degree in a technology-related field (e.g. Engineering, Computer Science, etc.).
  • 5+ years of hands‑on experience designing, deploying, and operating production Kubernetes clusters (self‑managed or managed services such as EKS, AKS, GKE).
  • Deep expertise in Kubernetes internals: workload scheduling, RBAC, network policies, Helm / Kustomize, Operators, and cluster autoscaling.
  • Must have 3+ years of experience developing microservices with Java and Spring Boot.
  • Strong understanding of microservices architecture, REST APIs, and event‑driven design patterns.
  • Experience containerizing and deploying Java applications to Kubernetes, including JVM tuning for container environments.
  • Familiarity with build tooling (Maven, Gradle) and code quality practices (unit/integration testing, static analysis).
  • Strong experience with DevOps practices and tooling: CI/CD pipelines (Jenkins, GitHub Actions, ArgoCD / Flux GitOps), Infrastructure as Code / IAC (Terraform or CloudFormation, Ansible), and container image management (Docker, container registries).
  • Proven ability to build and maintain self‑service developer platforms and golden‑path templates on Kubernetes.
  • 2+ years of experience operating workloads on Cloud platforms (AWS, Azure, or GCP), including networking, IAM, and cost optimization.
  • Strong knowledge of observability: metrics (Prometheus/Grafana), logging (ELK / OpenSearch), and distributed tracing.
  • Experience with service mesh technologies (Istio, Linkerd) and API gateway patterns.
  • Solid experience in Agile methodologies (Kanban and SCRUM).
  • Strong technical design and analysis skills; ability to deal with ambiguity and work in a fast‑paced environment.
  • Excellent communication skills, both written and verbal, with strong collaboration skills across multiple teams.

Responsibilities

  • Build, automate, and operate large-scale event-driven platforms.
  • Apply a variety of technologies to deliver robust, self-service infrastructure and deployment pipelines.
  • Collaborate with the Platform Engineering group within Fidelity’s Enterprise Technology organization.
  • Design and operate large-scale, cloud-native infrastructure using cutting-edge technologies.

Skills

Kubernetes
Java + Spring Boot
Microservices architecture
CI/CD pipelines
IaC (Terraform, CloudFormation)
Docker
Observability (Prometheus, Grafana)
Service mesh (Istio, Linkerd)
Cloud (AWS, Azure, or GCP)
Agile methodologies
GitOps (ArgoCD/ Flux)

Education

Bachelor or Master Degree in a technology-related field

Tools

Helm / Kustomize
Maven / Gradle
Jenkins
GitHub Actions
ArgoCD / Flux
Terraform
Docker
OpenSearch

Job description

  • Build, automate, and operate large-scale event-driven platforms
  • Apply a variety of technologies to deliver robust, self-service infrastructure and deployment pipelines
  • Collaborate with the Platform Engineering group within Fidelity’s Enterprise Technology organization
  • Design and operate large-scale, cloud-native infrastructure using cutting-edge technologies
Requirements
  • Bachelor or Master Degree in a technology-related field (e.g. Engineering, Computer Science, etc.)
  • 5+ years of hands‑on experience designing, deploying, and operating production Kubernetes clusters (self‑managed or managed services such as EKS, AKS, GKE)
  • Deep expertise in Kubernetes internals: workload scheduling, RBAC, network policies, Helm / Kustomize, Operators, and cluster autoscaling
  • Must have 3+ years of experience developing microservices with Java and Spring Boot
  • Strong understanding of microservices architecture, REST APIs, and event‑driven design patterns
  • Experience containerizing and deploying Java applications to Kubernetes, including JVM tuning for container environments
  • Familiarity with build tooling (Maven, Gradle) and code quality practices (unit/integration testing, static analysis)
  • Strong experience with DevOps practices and tooling: CI/CD pipelines (Jenkins, GitHub Actions, ArgoCD / Flux GitOps), Infrastructure as Code / IAC (Terraform or CloudFormation, Ansible), and container image management (Docker, container registries)
  • Proven ability to build and maintain self‑service developer platforms and golden‑path templates on Kubernetes
  • 2+ years of experience operating workloads on Cloud platforms (AWS, Azure, or GCP), including networking, IAM, and cost optimization
  • Strong knowledge of observability: metrics (Prometheus/Grafana), logging (ELK / OpenSearch), and distributed tracing
  • Experience with service mesh technologies (Istio, Linkerd) and API gateway patterns
  • Solid experience in Agile methodologies (Kanban and SCRUM)
  • Strong technical design and analysis skills; ability to deal with ambiguity and work in a fast‑paced environment
  • Excellent communication skills, both written and verbal, with strong collaboration skills across multiple teams
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