Director Production Engineering
Vista Applied Solutions Group Inc, Durham, NC, United States
Responsibilities
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. 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 Dependency risk, retries, and backpressure Consistency tradeoffs and correctness under failure Experience partnering deeply with Architecture and Software Engineering to embed reliability guardrails into design reviews, CI/CD pipelines, and system standards. Senior leadership experience building teams and influencing across large engineering organizations. Preferred Experience
Designing reliability automation (release scoring, regression detection, incident pattern analysis). Hybrid cloud + edge architectures; Kubernetes/AKS; modern observability platforms. Leading reliability transformations in large, complex engineering organizations.
#J-18808-Ljbffr
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. 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 Dependency risk, retries, and backpressure Consistency tradeoffs and correctness under failure Experience partnering deeply with Architecture and Software Engineering to embed reliability guardrails into design reviews, CI/CD pipelines, and system standards. Senior leadership experience building teams and influencing across large engineering organizations. Preferred Experience
Designing reliability automation (release scoring, regression detection, incident pattern analysis). Hybrid cloud + edge architectures; Kubernetes/AKS; modern observability platforms. Leading reliability transformations in large, complex engineering organizations.
#J-18808-Ljbffr