Principal Architect - Warehouse Execution Systems

Insight Global; Atlanta (GA); On-site; USD 180,000 - 240,000; Full time

Job summary

Insight Global is seeking a Principal Architect to own a major portion of our clients middleware and to work with engineering leadership to define the technical vision and build world-class architecture.

You will ensure robust connectivity between cloud and on-prem systems and design systems for secure integration, data flow, observability, and scalable platform design. The role emphasizes driving architectural decisions and mentoring engineers across teams.

Qualifications

• Experience with distributed systems, concurrency, and fault tolerance.
• Experience defining APIs and integration contracts between systems.
• Background in cloud architecture and secure hybrid connectivity.
• Bachelor's or Master's degree in CS, Engineering, or related field.

Responsibilities

• Define responsibilities and integration boundaries across platform layers.
• Define API and messaging contracts across components and external interfaces.
• Contribute to the CubeVerse platform architecture for on-premises to cloud connectivity.
• Define latency, throughput, availability, and fault isolation expectations.
• Define data flows and architectural patterns for performance and reliability.
• Define scalable coordination patterns across controllers and domains.
• Own architecture decisions, reference designs, and engineering standards; mentor engineers.

Skills

Distributed systems

APIs & integration contracts

Cloud platforms & hybrid connectivity

Architectural leadership

Education

Bachelor's or Master's in Computer Science or Engineering

Tools

CI/CD

Observability tooling

Job description

Insight Global is hiring a Principal Architect who will own a significant portion our clients middleware. In this role you’ll work with engineering leadership to define our technical vision, build world class architecture, and ensure that our engineering team is able to execute on the plan. You’ll ensure that we have robust connectivity between our cloud and on prem systems and design systems that ensure secure integration, data flow, observability, and scalable platform design.

Required Skills & Experience

• Warehouse logistics, automation, or intralogistics domain experience (ideally with 2–3 years of relevant exposure).
• Strong experience with modern programming languages and platforms relevant to control systems, orchestration layers, middleware, or large-scale backend services.
• Strong grounding in distributed systems fundamentals: concurrency, state machines, event-driven/messaging architectures, fault tolerance, and eventual consistency.
• Experience defining APIs and integration contracts between independently-owned systems.
• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.

Nice to Have Skills & Experience

• Experience designing integrations across independently owned software and control-system components.
• Track record evolving platform architectures to support scalability, extensibility, and maintainable integration patterns.
• Cloud architecture experience, particularly with secure hybrid connectivity, cloud integration patterns, observability, and platform services connecting on-premises systems to cloud environments.
• Strong expertise in distributed systems, control-platform architecture, APIs, messaging, data contracts, concurrency, fault tolerance, and performance-sensitive software design.
• Strong familiarity with cloud platforms, hybrid connectivity, CI/CD, observability, and modern DevOps practices relevant to platform delivery, operations, and end-to-end on-premises to cloud integration.

Key Tasks & Responsibilities:

• Define responsibilities and integration boundaries across platform layers, ensuring clear ownership, scalable design, and appropriate separation of concerns.
• Define API, messaging, and integration contracts across platform components and external system interfaces, ensuring clear ownership, scalability, and maintainability.
• Contribute to the architecture of the CubeVerse platform, including secure and scalable end-to-end connectivity from on-premises environments to cloud services.
• Define expectations for latency, throughput, availability, fault isolation, and graceful degradation across operational scenarios.
• Define data flows and architectural patterns that support performance, reliability, and continuous optimization across the platform.
• Define scalable coordination patterns across controllers and operational domains, including task allocation, dependency management, and conflict resolution.
• Own architecture decisions, reference designs, and technical review processes; mentor engineers and set engineering standards.