System Architect

Escalon Services, LLC.

$140K — $160K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or master's degree in relevant field
  • 4+ years in Systems/Software Architecture or technical leadership
  • Strong grasp of distributed systems and scalable software design
  • Experience with cloud platforms like AWS, Azure, or Google Cloud
  • Proficient in programming languages such as C++, Python, Java, or C#
  • Familiarity with Agile development methodologies
  • Knowledge of APIs, microservices, and event-driven architectures

Responsibilities

  • Design end-to-end system architectures for complex solutions
  • Define system requirements, interfaces, and technical specs
  • Lead architectural decisions across various system types
  • Collaborate with cross-functional teams throughout development
  • Evaluate technologies for scalability, security, and performance
  • Establish architectural standards and engineering best practices
  • Conduct architecture reviews and provide technical mentorship

Benefits

  • Comprehensive Health Benefits
  • Opportunity to work on cutting-edge AI, robotics, and XR technologies
  • Collaborative multidisciplinary engineering environment
  • Career growth and professional development opportunities
Full Job Description
System Architect

Application Deadline: 30 September 2026

Department: Recruiting Done

Employment Type: Full Time

Location: Santa Monica

Compensation: $140,000 - $160,000 / year

Description

The Role

Our client is seeking a Systems Architect to define and lead the architecture of complex software and hardware systems across their AI, XR, and robotics platforms. In this role, you will work closely with engineering leadership and cross-functional teams to design scalable, secure, and high-performance solutions that support the company's long-term technology roadmap.

You will bridge product vision with technical execution, ensuring the platforms are reliable, maintainable, and built for future growth.

Key Responsibilities
  • Design end-to-end system architectures for complex software and hardware solutions.
  • Define system requirements, interfaces, and technical specifications.
  • Lead architectural decisions across distributed systems, cloud infrastructure, embedded systems, and AI applications.
  • Collaborate with software, hardware, AI/ML, robotics, and product teams throughout the development lifecycle.
  • Evaluate technologies, frameworks, and tools to ensure scalability, security, and performance.
  • Establish architectural standards, design principles, and engineering best practices.
  • Conduct architecture reviews and provide technical mentorship to engineering teams.
  • Identify technical risks early and develop mitigation strategies.
  • Support integration, testing, deployment, and long-term system evolution.
  • Create and maintain technical documentation and architecture diagrams.


Skills, Knowledge and Expertise
  • Bachelor's or master's degree in computer science, Software Engineering, Systems Engineering, Electrical Engineering, or a related field.
  • 4+ years of experience in Systems Architecture, Software Architecture, or a technical leadership role.
  • Strong understanding of distributed systems and scalable software design.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Proficiency in C++, Python, Java, or C#.
  • Experience designing APIs, microservices, and event-driven architectures.
  • Knowledge of networking, security, and systems integration.
  • Experience working in Agile development environments.
  • Strong communication and cross-functional collaboration skills.
  • Experience with AI/ML platforms and data pipelines.
  • Experience with robotics, autonomous systems, XR/AR/VR technologies, or computer vision.
  • Familiarity with embedded systems and edge computing.
  • Experience with Docker and Kubernetes.
  • Understanding of cybersecurity best practices and secure system design.
  • Experience supporting defense, aerospace, or government-funded programs.


Benefits
  • Comprehensive Health Benefits
  • Opportunity to work on innovative AI, robotics, XR, and autonomous technologies
  • Collaborative multidisciplinary engineering environment
  • Career growth and professional development opportunities

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