Director of Production Engineering (Reliability Platform Engineering)

Toshiba Global Commerce Solutions is seeking a Director of Production Engineering to own the engineering systems that make reliability, performance, correctness, and release safety predictable across our global POS, edge, cloud, and middleware platform. 

This is a production engineering leadership role focused on distributed system correctness, resilience, and performance engineering. You will partner closely with existing SRE and Operations leaders, but your charter is to engineer prevention by building production readiness standards, automated release gates, and performance/resilience validation mechanisms that stop unsafe changes before they ship. 

As AI accelerates development velocity, the bottleneck shifts from writing code to verifying correctness, performance, and safe behavior under failure. This role builds the production engineering foundation that allows teams to move fast without degrading latency, throughput, or availability. 

 

What Success Looks Like 

• Releases ship faster without increasing Sev-1 / Sev-2 incidents 

• Incident recurrence drops measurably due to enforced learning and prevention 

• Edge → store → cloud workflows behave safely under real failure conditions 

• Reliability is engineered, automated, and enforced, not reactive 

• Teams clearly understand what “safe to release” means — and pipelines enforce it 

 

Responsibilities 

Production Engineering & Release Safety 

• Own non-functional release criteria and automated release gates for reliability, resilience, performance, and correctness across complex release trains. 

• Define and enforce Production Readiness Reviews (PRRs) and platform-wide engineering standards. 

• Establish objective, measurable “safe-to-release” signals consumed by CI/CD and release tooling. 

Distributed Systems Correctness (Edge → Cloud Commerce) 

• Partner with Architects and Principal Engineers to define failure modes, degradation behavior, and system guardrails for distributed and eventually consistent workflows. 

• Ensure systems behave correctly during retries, partial outages, intermittent connectivity, degraded modes, and recovery. 

• Lead engineering initiatives that reduce risk of data loss, duplication, corruption, or inconsistent state across POS, middleware, and cloud services. 

Incident Learning That Prevents Recurrence 

• Lead blameless incident reviews using formal analysis methods. 

• Ensure corrective actions are engineered into systems, validated, tracked, and audited. 

• Institutionalize learning so failures do not reappear under new conditions or scale. 

Resilience & Performance Engineering 

• Own platform-level strategies for resilience, performance, and scalability validation. 

• Drive chaos, failover, load, stress, and soak testing focused on real failure modes, not synthetic demos. 

• Validate store-mode behavior, payment workflows, edge-device dependencies, and multi-service interactions. 

Observability & Reliability Signals 

• Ensure high-fidelity telemetry (logs, metrics, traces, and business signals) that supports release gating, correctness verification, and diagnosis. 

• Drive instrumentation standards that allow teams to prove reliability outcomes with data. 

Cross-Org Technical Leadership 

• Partner with Software Engineering, Architecture, Quality Engineering, Cloud Operations, and TPM/TPO teams. 

• Build and lead senior technical managers and staff-level engineers. 

• Set expectations for technical depth, ownership, and execution quality. 

 

Required Experience 

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience. 

• 10–15+ years building production engineering capabilities for distributed software platforms, with direct accountability for production outcomes. 

• Demonstrated experience defining and enforcing production readiness standards and non-functional release gates that prevent unsafe changes from shipping. 

• Proven ability to lead formal root-cause / reliability analysis and ensure systemic fixes reduce recurrence. 

• Strong distributed systems fundamentals, including the ability to reason about: 

• Failure modes and degradation behavior