Solutions Engineer, Quality - Guidewire Policy Center

Solutions Engineer, Quality – Guidewire Policy Center

Do you have the skills, and drive, to join a tech team that's working to digitally transform a trillion-dollar industry? From test-driving the latest technologies to creating intuitive consumer apps, Liberty Mutual is constantly innovating and creating industry-leading solutions that provide peace of mind for our customers worldwide. As a solutions engineer at Liberty Mutual, you'll be responsible for guiding the development of system, technical and product standards based on business plans and long-term strategies, while working in an agile environment that has the creative energy of a start-up, and the full backing and comprehensive benefits of a Fortune 100 company.

Note: This role has a preferred hybrid (2x/week) work arrangement in one of our tech hubs: Boston, MA/Portsmouth, NH/Columbus, OH/Indianapolis, IN/Plano, TX

We encourage you to apply and bring your expertise if you're a:

• Strategic partner: You take the big picture view, whether you're supervising architecture migrations or maintaining critical relationships with vendors and business partners
• Motivated mentor: Exercise your technical chops while coaching and collaborating with junior software engineers.
• Systems-level engineer: Working hand-in-hand with your business partners, you'll develop technical requirements and design robust and flexible product and system architectures
• Forward thinker: Leading by example, you'll promote a culture of continuous improvement by finding solutions that increase efficiency, accelerate the adoption of new technologies and enhance profitability

The Solution 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."

Safeguard Frontier delivery outcomes by continuously:

• identifying high-impact quality/delivery problems early
• diagnosing root causes across systems and teams
• delivering durable solutions that prevent recurrence and accelerate flow

Core Responsibilities

• Systemic Problem Identification & Prioritisation
• Continuously mine signals (test outcomes, pipeline telemetry, defect trends, environment incidents, release friction, manual handoffs) to surface recurring constraints and risks.
• Maintain a prioritised "Top Problems" backlog with clear problem statements, leading indicators, target outcomes, and measures of success.
• Solution Design & Delivery (Reusable by Default)
• Design solution options spanning process, tooling, automation, and integration guardrails; quantify impact and align stakeholders.
• Deliver solutions directly (scripts/tools, pipeline improvements, readiness checks, dashboards) and/or drive implementation through partner teams.
• Standardise and productise repeatable approaches so they can be adopted across QCC (templates, golden paths, reference implementations).
• Integration Readiness, Assurance Acceleration, and Risk-Based Gating
• Engineer pre-flight and readiness mechanisms that prevent late-stage failures (dependency health checks, config drift detection, contract-style validations where appropriate).
• Improve assurance gate effectiveness and speed by shifting confidence earlier in the lifecycle and reducing reliance on slow, brittle checks.
• Implement and tune risk-based gating aligned to defined thresholds and acceptance criteria (what must block vs what must be visible).
• Automation to Tighten Feedback Loops
• Identify high-ROI automation opportunities (repetitive, high-volume, failure-prone activities) and implement them to reduce cycle time.
• Optimise execution workflows (suite selection, tagging, parallelisation, stabilisation patterns) to improve reliability and reduce waste.
• Improve diagnosability via consistent artifacts, enriched run context, and actionable runbooks/playbooks.
• AI Enablement (Aligned to SDLC "Powertrain" Initiatives)
• Identify and operationalise AI use-cases that measurably reduce manual effort and accelerate assurance activities (e.g., failure summarisation/clustering, ownership suggestion, issue enrichment, knowledge retrieval, assisted test creation with review).
• Align with Liberty AI-in-the-SDLC "powertrain" initiatives and approved patterns/tools; reuse before building, and avoid duplicating existing capabilities.
• Ensure AI usage follows LM safety/security procedures and includes appropriate guardrails (accuracy checks, auditability, data handling).
• Liberty Ecosystem & Architecture Alignment
• Work with the wider Liberty ecosystem of architects and technical leaders to ensure solutions align with enterprise standards, tool selection direction, and quality governance.
• Contribute improvements back into shared standards and tooling where possible to maximise leverage and consistency across the program.

Key Deliverables

• Prioritised "Top Problems" backlog with measurable outcomes and delivered fixes.
• Readiness and guardrail mechanisms for integrated flows (pre-flight checks, validations, monitors).
• Reusable QCC accelerators: templates, shared utilities, dashboards, runbooks, and reference implementations.
• AI-enabled workflow accelerators integrated into day-to-day ways of working, aligned to the SDLC powertrain.

Success Measures

• Reduced recurring failure classes, lower flake rate, and fewer preventable disruptions.
• Reduced manual triage effort and faster time-to-diagnosis/time-to-fix.
• Faster and more predictable feedback cycles and improved release confidence.
• Increased "chain of trust" traceability coverage (requirements → tests → release signals).
• Cross-QCC adoption of delivered solutions (reuse is a first-class measure).
• Demonstrable cycle-time improvements attributable to automation and/or AI, aligned with Liberty initiatives.

Qualifications

Experience

• Ten years of related software engineering experience
• A comprehensive understanding of agile environments
• Extensive knowledge of contemporary frameworks and emerging technologies
• A history of practicing DevOps and SecOps
• A strong background in business operations and strategies, including knowledge of global business, technology trends and the financial services industry

Skills

• Solid negotiation, facilitation, consensus building and influencing capabilities
• Ability to identify patterns and problems across teams and deliver effective solutions
• Openness and adaptability to respond to fast-moving circumstances
• A design thinking and test-driven development mindset
• Excellent oral and written communication skills, and an aptitude for working in teams
• Knowledge
• Experience developing or architecting cloud-hosted, responsive web applications using Java, HTML5 and CSSS3
• Strong background in code review
• High-level proficiency with client-side JavaScript frameworks, server-side frameworks, and NoSQL databases
• Familiarity with event-based System of Engagement architectures and integration with API exposing microservices
• Deep understanding of layered solutions and designs
• Cognizance of security concerns, from access control and authentication to secured SDLC processes
• Understanding of DCI/MDM systems, data ingestion and cloud-scale data sets

Education

• A Bachelor's or Master's degree in a technical or business discipline, or equivalent experience