System Architect

Overview

On Site
Depends on Experience
Contract - W2
Contract - 6 Month(s)

Skills

Agile
DevSecOps
Machine Learning (ML)
IoT
PyTorch
Python
Performance Monitoring
Cloud Computing
Agile Management
Zachman Framework
Network
Computer Networking
Orchestration

Job Details

Job Title: System Architect

Location: San Antonio, TX( Onsite)

Duration: 6 Month CTH

Technical Stack & Tools:

  • AI/ML: Cognite (AI metadata contextualization), Python, PyTorch.
  • Architect Role Requirements:
  • Experience in control system environments.
  • Understanding operational technology (OT) in Oil & Gas.
  • System patching concerns in control environments (e.g., monthly vs. real-time)

Education and Experience

  • Bachelor s Degree in Information Technology, related field or equivalent experience
  • 5+ years of relevant architecture experience required
  • Scaled Agile Architecture certification preferred
  • Operational Technology (OT) experience preferred
  • Experience with AI/ML and data architecture and integration preferred

Skills

  • Agile Methodology Agile project management is an iterative approach to delivering a project throughout its life cycle, taking incremental steps towards the completion of a project.
  • Architecture Frameworks Proficiency in widely used architecture frameworks like TOGAF (The Open Group Architecture Framework) or Zachman Framework to structure and organize architectural artifacts and processes.
  • Cloud Computing Knowing how to manage cloud services, develop cloud applications, and use cloud architecture to meet customer needs.
  • DevSecOps A set of practices that automates the integration of security at every phase of the software development lifecycle, from initial design through integration, testing, deployment, and software delivery, with an aim towards shortening the systems development life cycle and pas well as continuous delivery and a security first approach.
  • Edge Computing Edge computing refers to the decentralized processing of data near the source of data generation, reducing latency and bandwidth usage by performing computations closer to the devices or sensors producing the data. This approach aims to enhance efficiency, responsiveness, and real-time capabilities in computing systems by distributing computing tasks to the "edge" of the network, rather than relying solely on centralized cloud servers.
  • Functional Expertise A strong understanding of various technologies, platforms, and systems relevant to the organization's architecture, such as networking, databases, cloud computing, and security.
  • Infrastructure as Code (IaC) The process of managing and provisioning infrastructure through code instead of through manual processes.
  • Internet of Things (IoT) Familiarity with IoT concepts and protocols, as well as experience designing architectures that incorporate IoT devices and enable seamless connectivity and data exchange.
  • Performance Monitoring The process of measuring the performance of a system in real time in order to determine problems and identify other factors that may cause problems in the future.
  • Process Orchestration Process orchestration refers to the coordination and management of various tasks, activities, and resources within a workflow or business process. It involves organizing, sequencing, and automating individual tasks or sub-processes to ensure that the overall process operates smoothly and efficiently. Process orchestration typically involves integrating disparate systems, applications, and services to streamline operations and improve collaboration across different parts of an organization. It often employs workflow management tools, automation software, and integration platforms to facilitate communication, data exchange, and decision-making among different components of the process. The goal of process orchestration is to optimize the flow of work, minimize delays and bottlenecks, and enhance overall productivity and performance.

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