Cloud-Native Enterprise Architect (Oil & Gas)

Machine Learning Technologies, LLC; Dallas (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a Senior Cloud-Native Application Architect to lead the design of enterprise applications in a cloud-native environment. You will shape architectures for modern web platforms, APIs, and identity integrations while ensuring security, reliability, and governance across deployments.

The role emphasizes OpenShift, Kubernetes, Docker, and cloud platforms (AWS/Azure/Google) with a focus on scalable, observable systems and effective communication with

Qualifications

• Substantial background designing and delivering enterprise applications in a Solution Architect, Application Architect, Technical Architect, or comparable leadership role.
• Practical understanding of server-side application architecture, API development, and distributed application design.
• Architecture and deployment knowledge of Red Hat OpenShift, including containerized application design and Kubernetes orchestration.
• Knowledge of AWS, Azure, or Google Cloud and cloud-native application deployment practices.
• Strong understanding of API management, API gateways, enterprise identity integration, and event-streaming technologies such as Kafka.
• Proficiency with RESTful services, microservices, service integration patterns, and asynchronous communication.
• Understanding of Docker, Kubernetes, container configuration, networking, and application deployment strategies.
• Knowledge of application security, authentication and authorization protocols, CI/CD processes, and DevSecOps practices.
• Ability to design systems that meet performance, availability, resiliency, scalability, and observability requirements.
• Ability to translate complex technical requirements into practical solutions and communicate architectural decisions to engineering teams and business stakeholders.

Responsibilities

• Modern Web Platforms & Development Standards
• API, Identity & Enterprise Integration
• Security, Reliability & Technical Governance

Skills

Enterprise architecture

Cloud-native design

API development

RESTful services

Microservices

DevSecOps

Security governance

System observability

Distributed systems

Stakeholder communication

Tools

OpenShift

Kubernetes

Docker

AWS

Azure

Google Cloud

Job description

Machine Learning Technologies, LLC is seeking a Senior Cloud-Native Application Architect to lead the design of enterprise applications in a cloud-native environment. You will shape architectures for modern web platforms, APIs, and identity integrations while ensuring security, reliability, and governance across deployments.

The role emphasizes OpenShift, Kubernetes, Docker, and cloud platforms (AWS/Azure/Google) with a focus on scalable, observable systems and effective communication with