Java)

Fidelity Investments•Westlake, TX

1d•Onsite

About The Position

The Platform Engineering group within Fidelity’s Enterprise Technology organization is seeking a Senior Full Stack Platform Engineer to build, automate, and operate large-scale event-driven platforms. In this role, you will apply a variety of technologies to deliver robust, self-service infrastructure and deployment pipelines. This position is a critical element to delivering Fidelity’s promise of creating the best customer experiences in financial services.

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.

Nice To Haves

Experience with Apache Kafka: topic design, consumer groups, offset management, and schema evolution (Avro / Protobuf with Schema Registry).
Familiarity with Kafka deployment and operations on Kubernetes (Strimzi Operator or Confluent Platform).
Exposure to stream processing frameworks such as Kafka Streams, Apache Flink, or Spark Structured Streaming.
Node, TypeScript

Responsibilities

Build, automate, and operate large-scale event-driven platforms.
Apply a variety of technologies to deliver robust, self-service infrastructure and deployment pipelines.
Assist in the governance, design and delivery of applications utilizing the Event Streaming and Message Queueing platforms.
Enhance and streamline the onboarding experience while ensuring the highest quality of application readiness for users.