About the Role
The Solutions Engineer acts as a problem finder and solution driver within the Quality Capability Center, focusing on systemic bottlenecks in development, integration, and testing workflows. This role diagnoses root causes across teams and tools, then designs and implements practical, reusable solutions that align with enterprise standards and enhance delivery speed, quality, and automation.
Responsibilities
- Monitor test results, pipeline data, defect patterns, environment issues, release delays, and manual processes to detect recurring obstacles and risks.
- Maintain a ranked backlog of top challenges with clear definitions, early warning signals, desired outcomes, and success metrics.
- Develop solution options across process improvements, tooling, automation, and integration safeguards; assess impact and gain stakeholder alignment.
- Implement solutions directly through scripts, pipeline enhancements, readiness checks, or dashboards, or lead partner teams in execution.
- Standardize and scale proven methods into reusable assets such as templates, golden paths, and reference implementations for broad adoption.
- Build pre-deployment checks that prevent late-cycle failures using dependency validation, configuration monitoring, and contract-based verification.
- Enhance the effectiveness and efficiency of quality gates by moving confidence checks earlier and reducing dependence on slow or fragile validations.
- Apply and refine risk-based gating rules based on defined thresholds to determine what should block progress versus what should only be flagged.
- Identify automation opportunities with high return on investment—especially repetitive, high-volume, or error-prone tasks—and implement them to shorten cycle times.
- Streamline test execution workflows through optimized suite selection, tagging strategies, parallel runs, and stabilization techniques to reduce waste and improve reliability.
- Improve failure diagnosis with standardized outputs, enriched execution context, and clear, actionable runbooks or playbooks.
- Discover and deploy AI use cases that reduce manual work and accelerate quality activities, such as failure clustering, ownership suggestions, issue enrichment, knowledge retrieval, and AI-assisted test creation with human review.
- Collaborate with AI-in-SDLC initiatives and approved patterns to reuse existing tools and avoid redundant development.
- Ensure all AI implementations comply with organizational safety, security, and data handling policies, including accuracy validation and audit trails.
- Partner with enterprise architects and technical leaders to align solutions with company-wide standards, tooling direction, and quality governance.
- Contribute improvements back into shared platforms and standards to increase consistency and reuse across the broader program.
Work Arrangement
Hybrid — Boston, MA, Portsmouth, NH, Columbus, OH, Indianapolis, IN, Plano, TX
Role Summary
The Solutions Engineer (SE) is a QCC problem-finder and solution driver for the Frontier program. The SE identifies systemic constraints to quality and delivery across the SDLC—especially where complex integrations, tooling, environments, and assurance gates create friction—then designs and delivers practical, scalable solutions. The role supports teams executing end-to-end validation while also delivering reusable solutions and accelerators for the wider QCC. This role aligns to the Frontier Quality Strategy principles: quality throughout the SDLC, risk-based decisioning, automation to tighten feedback loops, augmenting the value chain with AI, and leveraging existing enterprise standards and the “chain of trust.”
