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Toshiba Global Commerce Solutions

Builds retail checkout hardware and commerce software

Director – Software Engineering: Retail Platform Delivery

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeCincinnati, OH, USANo salary listed

About the Job

Requirements

  • At least 12 years of software engineering experience.
  • At least 6 years leading engineering organizations at scale, including organizations of 100 or more engineers.
  • Proven ownership of production systems serving Fortune 500 customers.
  • Experience delivering complex, distributed, multi-tenant platforms under strict service-level objectives.
  • Direct customer-facing engineering leadership at executive level.
  • Knowledge of distributed systems, event-driven architectures, microservices, and API design.
  • Experience with AWS, Azure, or GCP cloud-native environments and edge/store deployment models.
  • Experience with observability engineering, including OpenTelemetry, service-level objectives, structured logging, and distributed tracing.
  • Experience with progressive delivery, including feature flags, canary releases, blue/green deployments, and shadow traffic.
  • Experience with continuous integration and continuous delivery at scale, GitOps, and software supply-chain security.
  • Experience with performance engineering, including load, stress, endurance, and chaos testing.
  • Experience with test-driven development, contract testing, and mutation testing.
  • Hands-on experience with LLM-based engineering tooling, such as Claude Code, agentic IDE plugins, or MCP servers.
  • Working understanding of agent orchestration, Model Context Protocol, and retrieval-augmented generation architectures.
  • Ability to design AI-leveraged workflows that compound team output rather than only assisting individuals.
  • Comfort measuring AI leverage in dollar-equivalent and headcount-equivalent terms.
  • Executive customer-facing credibility, including communicating effectively with CIOs and CTOs.
  • Ability to make decisions under ambiguity and articulate tradeoffs.
  • Ability to balance speed and quality, customization and platform integrity, and innovation and stability.
  • Retail domain experience with point-of-sale systems, payments, loyalty, store systems, or store edge computing.
  • Familiarity with the ELERA platform or comparable enterprise retail platform experience.
  • Experience spanning both engineering and quality disciplines.
  • PCI DSS and SOX compliance experience in a payments context.

Responsibilities

  • Own end-to-end delivery of the ELERA retail platform across strategic global retail partners.
  • Serve as the primary engineering authority for customer programs spanning point-of-sale systems, payments, loyalty, and store systems.
  • Partner with customer leaders to define success criteria, operational acceptance, rollout strategy, and risk posture.
  • Translate real-world retail workflows into architecture decisions, API contracts, and system behavior.
  • Maintain architecture decision records and a visible technical debt register tied to delivery plans.
  • Own deployment frequency, lead time for changes, change failure rate, and mean time to recovery as published, measurable targets.
  • Ensure AI-built feature branches receive release-grade functional, performance, security, and integration testing before merge, while keeping the main branch releasable.
  • Make progressive delivery mandatory through feature flags, canary releases, blue/green deployments, and shadow traffic, decoupling deployment from release.
  • Ensure cloud services have no scheduled downtime and store-edge deployments do not disrupt live lanes.
  • Establish unified engineering and quality accountability across one organization.
  • Set test-driven development as the baseline, with tests written before code for all new code paths.
  • Set merge-blocking quality gates for coverage thresholds, mutation scores, static analysis, static application security testing, dependency and license scanning, and software bill of materials generation.
  • Establish consumer-driven contract testing between every service boundary, with versioned and governed OpenAPI and AsyncAPI specifications.
  • Run chaos engineering in staging, quarterly game days, and production-like load testing ahead of peak retail events.
  • Implement shift-right validation using synthetic monitoring, canary analysis, and error-budget enforcement.
  • Own defect leakage, change failure rate, cycle time, escape rate, and production incident-rate metrics.
  • Use the agentic development ecosystem for requirement decomposition, design-to-code, test generation, large-scale refactoring, and pull-request review.
  • Implement agent-driven defect triage and clustering, telemetry-based root-cause analysis, release-readiness scoring, and customer-reported incident classification.
  • Integrate context-aware agents with source code, tickets, and telemetry for every engineer.
  • Deploy and use RaaS, Sentinel AI, Agentic TPM, CloudOps Sandbox, and the ELERA Agent Registry as agent team tools.
  • Measure accepted agent-authored code, generated test cases, automatically triaged incidents, and AI-equivalent headcount by role quarterly.
  • Feed production telemetry into AI-ranked backlogs and refactoring targets.
  • Define service-level objectives and error budgets for every customer-facing service, and block feature work when error budgets are exhausted.
  • Require OpenTelemetry instrumentation, service-version tagging, and correlated traces, metrics, and logs before merge.
  • Conduct load, stress, endurance, and soak testing sized for peak retail events.
  • Ensure stores can withstand network partitions through offline transaction handling and store-and-forward retries with exponential backoff and jitter; support blue/green deployment at the edge.
  • Scale the platform horizontally to tens of thousands of lanes across multi-tenant, multi-region deployments.
  • Tie capacity planning to FinOps and track and optimize cost per transaction.
  • Treat the engineering organization as the customer of an internal developer platform, using the AI Dev Portal as the front door.
  • Establish paved golden paths for new services, standard observability, standard security posture, and standard continuous integration and delivery.
  • Provide self-service environments through CloudOps Sandbox, on-demand synthetic test data, and ephemeral preview environments for each pull request.
  • Instrument developer productivity using DORA and SPACE metrics, time to first commit for new hires, pull-request review latency, and local build time.
  • Deliver customer-specific extensions without fragmenting the platform, favoring configuration over code and providing each bespoke extension with a sunset plan or a path to promotion into the core platform.
  • Build reusable solution accelerators for common retail integrations, including payments, peripherals, back office, tax, loyalty, and customer relationship management.
  • Version and govern integration contracts; require deprecation windows and migration tooling for breaking changes.
  • Ensure engineering handoff to customer operations and support includes runbooks, dashboards, and on-call rotations live at go-live.
  • Set engineering-driven release gates for functional completeness validated by automated acceptance, performance against published service-level objectives, stable integrations with passing contract tests, and live observability before traffic.
  • Verify security posture before release through static and dynamic application security testing, software composition analysis, software bill of materials, secrets scanning, and threat-model review.
  • Test rollback procedures rather than assuming they work.
  • After release, run automated canary analysis, a 24-hour watch, and blameless incident reviews with a 48-hour turnaround; track action items to closure.
  • Implement shift-left security through design-time threat modeling and static application security testing in every pull request, with dynamic application security testing in staging.
  • Build PCI DSS, SOX, and GDPR controls into the pipeline as code.
  • Generate software bills of materials, sign artifacts, and meet software-supply-chain build-level targets.
  • Manage secrets, zero-trust service-to-service authentication, and least-privilege identity and access management.
  • Lead cross-functional teams spanning Engineering, embedded Quality, and Professional Services.
  • Develop engineering leaders who own outcomes, think in systems and data, and can represent engineering with customer executives.
  • Drive accountability without blame, evidence-based decisions using telemetry, metrics, and experiments, and continuous improvement with measurable changes.

Desired Qualifications

  • Retail domain experience with point-of-sale systems, payments, loyalty, store systems, or store edge computing.
  • Familiarity with the ELERA platform or comparable enterprise retail platform experience.
  • A background spanning both engineering and quality disciplines.
  • PCI DSS and SOX compliance experience in a payments context.

About the Company

Toshiba Global Commerce Solutions

Builds retail checkout hardware and commerce software

Toshiba Global Commerce Solutions builds hardware and software that retailers use to run stores and handle customer purchases. Its portfolio includes point-of-sale terminals, self-checkout systems, mobile devices, receipt printers and store peripherals for grocery, convenience, specialty and hospitality businesses. The ELERA commerce platform connects store applications, while related software covers payments, loyalty, promotions and loss prevention. The company also offers installation, managed services and maintenance to support retailers through the operation of their store systems. Founded in 2012, Toshiba Global Commerce Solutions is headquartered in Durham, North Carolina.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Durham, NC
Founded
2012

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