The Platform Engineer (Python / Backend)

Position Summary

The Platform Engineer (Python / Backend) is responsible for designing, developing, testing, and supporting the core backend services that power the Security Hub platform. This role will build scalable APIs, microservices, data processing pipelines, telemetry ingestion services, workflow orchestration components, and AI-enabled backend capabilities supporting the Data Private Cloud (DPC) Security Hub initiative.

The Platform Engineer will work closely with the Security Hub Architect, Technical Lead, Integration Lead, and DevOps teams to implement a secure, resilient, and scalable platform that serves as the authoritative system of record for security findings, controls, remediation workflows, and operational reporting.

Key Responsibilities

Backend Platform Development

Design and develop Python-based backend services supporting Security Hub operations.

Build scalable APIs, microservices, and platform components.

Develop reusable service frameworks and common platform capabilities.

Ensure solutions meet enterprise performance, scalability, and security requirements.

Security Hub Core Services

Develop services supporting:

Security finding management

Control validation

Alert processing

Event correlation

Workflow orchestration

Compliance evidence collection

Reporting and analytics

Support implementation of Security Hub as the centralized system of record for security findings.

Telemetry & Data Processing

Develop telemetry ingestion and normalization services.

Build event-processing pipelines utilizing Kafka and event-driven architectures.

Support correlation and enrichment of security data from multiple sources.

Implement data transformation and workflow processing logic.

API & Integration Services

Develop RESTful APIs and backend integration services.

Support integrations with:

Keycloak

Ranger

OpenShift APIs

ServiceNow

Kafka

LGTM

Vault/Venafi

DataHub

StorageGRID

Implement secure authentication, authorization, and service communication mechanisms.

Automation & AI Enablement

Develop backend services supporting workflow automation and remediation orchestration.

Implement AI-enabled capabilities including:

Triage support

Root-cause analysis workflows

Risk prioritization

Recommendation services

Integrate AI capabilities within Wells Fargo-approved platforms and architectures.

Testing & Quality Engineering

Develop unit, integration, and automated tests.

Participate in code reviews and quality assurance activities.

Support performance, resiliency, and security testing.

Resolve defects and support production issue remediation.

DevOps & Deployment Support

Support CI/CD pipeline implementation and deployment automation.

Participate in OpenShift containerization and deployment activities.

Assist with production releases and environment support.

Contribute to monitoring, logging, and observability solutions.

Operational Readiness

Create technical documentation and support materials.

Support development of runbooks and operational procedures.

Participate in knowledge transfer activities.

Support production deployment and hypercare activities.

Required Skills & Experience

Experience

5+ years of Python backend development experience.

Experience building enterprise-grade APIs and microservices.

Experience working in cloud-native and containerized environments.

Experience supporting large-scale platform implementations.

Technical Skills

Python

FastAPI, Flask, Django, or equivalent frameworks

REST API Development

Microservices Architecture

Kafka/Event Streaming

SQL and NoSQL Databases

OpenShift / Kubernetes

Docker Containers

Git

CI/CD Pipelines

Linux

Data & Integration Skills

API Integration

Event-Driven Architecture

Data Transformation & Processing

Message Queues & Streaming Platforms

JSON/XML Data Structures

Security Knowledge

Secure Coding Practices

Authentication & Authorization

Identity & Access Management Concepts

Security Logging & Monitoring

OWASP Principles

Preferred Qualifications

Experience with OpenShift and Kubernetes environments.

Experience building Security Operations, SIEM, SOAR, CNAPP, CSPM, or Security Hub platforms.

Experience integrating ServiceNow and IAM platforms.

Experience implementing Kafka-based architectures.

Experience supporting AI/ML-enabled applications.

Experience within financial services or highly regulated environments.

Key Deliverables

Backend APIs and Microservices

Telemetry Ingestion Services

Data Correlation and Processing Components

Workflow Orchestration Services

Security Finding Management Services

Control Validation Services

Automation and Remediation Services

Unit and Integration Test Artifacts

Technical Documentation

Operational Support Documentation

Success Measures

Delivery of secure, scalable, and maintainable backend services

Successful processing and correlation of security telemetry

Reliable API and integration service performance

Achievement of platform performance and resiliency objectives

Successful production deployment and operational stability

Minimal production defects and operational issues

Support for audit-ready and compliant Security Hub operations

Role Distinction

Platform Engineer (Python / Backend)

Designs, develops, tests, and supports the backend services, APIs, workflows, and processing components that power the Security Hub platform.