Sr Solutions Engineer, Software
Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Oct 7, 2026. Liberty Mutual Group scores A on the Alion truth index.
Description
Hiring Manager: Scott Merz
You must be authorized to work in the United States without employer sponsorship now or in the future. We will not sponsor employment visas. Candidates who will require future sponsorship, including candidates on CPT/OPT/STEMOPT who will require future sponsorship, are not eligible to apply.
At Liberty, you'll thrive in a hybrid setting that fosters in-person collaboration, innovation and growth. This approach optimizes both remote and in-person interactions, enabling you to connect and ideate with your team and deepen valuable relationships across the company, while still enjoying the flexibility of remote work for focused tasks and projects. This position follows a hybrid work model (2 days onsite) and is open to candidates located in Portsmouth, NH; Boston, MA; Plano, TX; Indianapolis, IN; Columbus, OH and Seattle, WA.
Provides technical oversight and engineering solutions to most complex and strategic system and application development projects. Responsible for the implementation of technology by developing clear, comprehensive and integrated system, technical and/or product recommendations which support business plans and long-term strategies. Oversees design reviews and frameworks for multiple product teams and large portfolios. Working closely with Solution Architects, drives adoption of architecture standards in order to promote operational excellence, security, reliability, performance efficiency and cost optimization into operating norms. Recognized as a thought leader within discipline who influences decisions made by senior leadership and advances the craft of engineering within our organization.
Responsibilities
- Develops clear, comprehensive and integrated system, technical and/or product recommendations that ensure consistency, security, maintainability and flexibility within a business capability domain or portfolio.
- Provides consultation and collaborates with technology leaders, business partners and peer groups regarding long and short-range product features. Provides oversight at the portfolio level influencing decision-making and prioritizing the engineering backlog for the programs and teams.
- Responsible for defining and leading engineering excellence guardrails.
- Contributes toward forecasts of business and IT trends to define the technical direction within a portfolio, project or Market.
- Educates and drives adoption of the well-architected framework in order to promote Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization into cultural norms.
- Makes recommendations to improve process efficiency and effectiveness.
- Participates during incident management events and provides consultative recommendations on viable resolutions.
- Maintains collaborative and strategic partnerships between customers, vendors, business partners, and technology teams.
- Mentors staff to develop technical engineering capabilities.
- Shares expertise ensuring that teams are continuously improving and learning together to meet current and future engineering needs. Demonstrated through publication and speaking engagements or other indicators of external industry recognition of expertise.
Qualifications
- Advanced knowledge of agile development methodologies as typically acquired through a Bachelor`s or Master`s degree in technical or business discipline or equivalent experience
- 12-15+ years of related experience
- Deep knowledge of ExPRS and downstream architecture
- Strong technical skills and deep knowledge of: C++, Client releases, complex architecture aligning Java, Springboot, WebSphere, IDMC, Scripts
- Database alignment and rich knowledge of data flows within ExPRS, BoComp, ESR, and downstream systems (LDW, RiskTrac, ADW, Data Lake, etc.)
- AI Fluency: Actively uses AI tools to improve the speed, quality, and scale of work; can point to concrete workflows where AI adds value; critically evaluates and validates AI-generated output; and applies AI responsibly, protecting confidential and customer data.