Remote OMS Platform Reliability Lead (Contract)

Ipro Networks Pte. Ltd.; United States; Remote; USD 69,327 - 98,739; Part time

Job summary

Ipro Networks Pte. Ltd. is hiring for an OMS Platform Reliability Lead, focusing on enhancing reliability and automation of a high-volume Order Management System. This remote position involves collaboration across Engineering and Technical Support while fostering self-healing operational capabilities.

Ideal candidates should have over 5 years of operational experience, a significant background in relevant technologies, and a strong commitment to automation and performance improvement initiatives.

Qualifications

• 5+ years of experience in OMS Technical Operations, Platform Engineering, or Site Reliability Engineering.
• Strong understanding of Order Management Systems and event-driven architectures.
• Experience with REST APIs, JSON, GraphQL, and Java troubleshooting.
• Proficient in Python for automation and scripting.

Responsibilities

• Drive reliability, stability, and automation of an Order Management System (OMS) platform.
• Lead a technical support team and manage production issues.
• Collaborate with Engineering and vendors to ensure operational excellence.
• Implement automation for order replay and monitoring dashboards.

Skills

Platform Reliability Engineering

Site Reliability Engineering (SRE)

OMS Operations

Fluent Commerce

GraphQL

Java

Python

SQL

REST APIs

Kafka

Event-Driven Architecture

Datadog

Splunk

ELK Stack

New Relic

Git

CI/CD

Root Cause Analysis

Incident Management

Observability

Automation Engineering

Education

Bachelor's degree in Computer Science, Software Engineering, or related field

Tools

Splunk

Datadog

ELK Stack

New Relic

Job description

Ipro Networks Pte. Ltd. is hiring for an OMS Platform Reliability Lead, focusing on enhancing reliability and automation of a high-volume Order Management System. This remote position involves collaboration across Engineering and Technical Support while fostering self-healing operational capabilities.

Ideal candidates should have over 5 years of operational experience, a significant background in relevant technologies, and a strong commitment to automation and performance improvement initiatives.