Sr. Software Engineer – Platform Performance & Resilience (AI-Enabled)

Toshiba Global Commerce Solutions - External; Durham (NC); On-site; USD 100,000 - 120,000; Full time

Benefits offered by this job

Employee Assistance Programs

Pre-tax spending accounts

401(k) plan (with company match)

Company provided life insurance

Pet Insurance

Job summary

A leading technology solutions provider in North Carolina is seeking a Senior Software Engineer focused on platform performance and resilience. The role involves ensuring system reliability and performance across multi-tier systems using AI-enabled automation. Candidates should have strong skills in Node.js and Java, alongside experience in performance and reliability engineering within distributed systems. The position offers a collaborative environment, aiming for measurable system stability at retail scale.

Qualifications

• 4–6+ years of professional software engineering experience.
• Strong proficiency in Node.js and Java.
• Experience modeling multi-tier systems (edge, middleware, cloud).
• Solid understanding of SLOs, SLIs, and non-functional validation.

Responsibilities

• Architect reliability across edge, store, and cloud.
• Engineer patterns that prevent cascading failures.
• Develop AI-enabled systems for performance validation.
• Architect structured telemetry across all tiers.

Skills

Node.js

Java

Performance engineering

Reliability engineering

Distributed systems architecture

Debugging and profiling

Tools

Kubernetes

Job description

Sr. Software Engineer – Platform Performance & Resilience (AI-Enabled)

Toshiba Global Commerce Solutions is seeking a Senior Software Engineer – Platform Performance & Resilience that plays a key role in engineering performance, resilience, and observability across a three‑tier distributed architecture spanning edge devices, in‑store servers, and cloud services. This role uses AI‑enabled automation to validate and enforce production‑grade reliability, with the ultimate goal of delivering measurable system stability at retail scale. The position operates at the intersection of distributed systems architecture, performance engineering, reliability validation, and intelligent automation.

Responsibilities

• Architect Reliability Across Edge–Store–Cloud
• Design and implement platform mechanisms that ensure transaction integrity and availability across POS terminals, store middleware, and cloud services.
• Define and validate failure‑mode strategies for intermittent connectivity, tier isolation, data replay, and synchronization conflicts.
• Engineer patterns that prevent cascading failures and support graceful degradation under real‑world load.
• Engineer Performance at Retail Scale
• Define latency budgets and performance envelopes across all tiers.
• Build systems that measure and validate throughput, concurrency limits, and resource saturation.
• Collaborate with development teams to eliminate bottlenecks before production.
• Build Automated Resilience Validation
• Develop AI‑enabled systems that automatically generate and execute performance and resilience validation scenarios.
• Integrate non‑functional quality gates into CI/CD workflows.
• Continuously evaluate timeout, retry, circuit breaker, and backoff strategies under stress.
• Elevate Observability & Signal Quality
• Architect structured telemetry across edge, store, and cloud tiers.
• Produce technical designs and failure‑mode analyses.
• Implement and deploy platform components in Node.js and companion services in Java.
• Drive production‑readiness improvements based on performance data.

Required Qualifications

• 4–6+ years of professional software engineering experience.
• Strong proficiency in Node.js and Java.
• Proven experience in performance engineering, reliability engineering, or distributed systems architecture.
• Demonstrated experience designing systems with deterministic timeouts, retry/backoff strategies, circuit breakers, and concurrency controls.
• Experience modeling multi‑tier systems (edge, middleware, cloud).
• Solid understanding of SLOs, SLIs, and non‑functional validation.
• Experience deploying services in Kubernetes‑based cloud environments.
• Strong debugging and profiling skills for distributed systems.

Preferred Qualifications

• Familiarity with event‑driven architectures (Kafka, Pub/Sub, MQ).
• Experience implementing structured observability frameworks.
• Exposure to AI‑enabled automation or workflow orchestration.
• Experience optimizing systems in intermittently connected environments.

Toshiba Global Commerce Solutions is a dynamic billion‑dollar global company based in Research Triangle Park, NC, providing retail store solutions to a wide range of brands. We are committed to Diversity, Equity, and Inclusion and maintain equal opportunity employment practices.

Benefits

• Employee Assistance Programs
• Pre-tax spending accounts
• 401(k) plan (with company match)
• Company provided life insurance
• Pet Insurance

EEO

Toshiba Global Commerce Solutions is an equal opportunity/affirmative action employer that evaluates qualified applicants without regard to age, ancestry, color, religious creed, disability, marital status, medical condition, genetic information, military or veteran status, national origin, race, sex, gender, gender identity, gender expression and sexual orientation or any other protected factor. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Individuals who need a reasonable accommodation because of a disability for any part of the employment process should email [e-mail] to request an accommodation.