About the position
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; and Columbus, OH. We deliver our customers peace of mind every day by helping them protect what they value most. Our passion for placing the customer at the center of everything we do is driving a transformational shift at Liberty Mutual. Operating as a tech startup within a Fortune 100 company, we are leading a digital disruption that will redefine how people experience insurance—starting with how we build, test, and release software. The GRS Quality Engineering (GRS-QE) organization is seeking a dynamic, hands-on Solutions Engineer to lead and deliver innovative quality-engineering solutions across a large application portfolio. Your focus will be Gen-AI–driven enterprise test automation, quality insights, performance engineering, data-validation frameworks, and tight collaboration with Site Reliability Engineering to build observability into every stage of the SDLC. You’ll combine deep technical expertise with strong leadership to architect, implement, and scale modern testing platforms that enable teams worldwide to ship faster and safer.
Responsibilities
- Lead the end-to-end delivery of quality-engineering solutions that meet customer needs while aligning with technology guardrails and strategic roadmaps.
- Partner with Site Reliability Engineering (SRE) to embed observability—metrics, logs, traces—into automated tests and quality gates, reducing MTTR and boosting incident readiness.
- Drive Gen-AI/LLM experimentation (self-healing tests, autonomous test-case generation, AI-assisted defect triage) and transition validated prototypes into production platforms.
- Guide feature teams on modern quality practices: Shift-Left, DevTestOps, contract testing, performance engineering, data validation, and program-level quality governance.
- Integrate and optimize vendor testing platforms/tools (e.g., PractiTest, LambdaTest, LoadRunner, UIPath) to maximize business value and ROI.
- Collaborate with product managers, architects, engineers, and business stakeholders to translate requirements into scalable quality solutions, and quality solutions into effective delivery decisions.
- Work with application teams to apply testing strategy, standards, and tools to agile delivery with confidence.
- Facilitate global knowledge sharing, cross-team alignment, and continuous improvement across geographically dispersed squads.
- Participate in incident management, root-cause analysis, and post-mortems; provide consultative recommendations to prevent recurrence.
- Contribute to funding prioritization and roadmap planning to ensure efficient use of resources.
- Mentor and coach engineers, fostering technical growth and promoting agile best practices (Scrum, Kanban).
- Utilize design thinking, DevTestOps pipelines, and infrastructure-as-code to improve speed and quality.
- Stay abreast of emerging technologies in genAI, cloud architecture, containerization, microservices, and observability; apply relevant innovations to ongoing work.
- Document architectures, quality standards and strategy thoroughly for maintainability and knowledge transfer.
Requirements
- Bachelor’s or master’s degree in Computer Science, Engineering, or a related discipline (or equivalent experience).
- 10+ years of hands-on software or quality engineering experience with demonstrated technical leadership.
- Proven expertise in building and integrating large-scale test automation frameworks within AWS environments.
- Hands-on skills with at least two of the following: Playwright, UIPath, RestAssured, Postman, Pact.
- Experience embedding automated tests into CI/CD pipelines using GitHub Actions, Azure DevOps, or similar.
- Solid understanding of cloud-native architectures, microservices, containerization (Docker/Kubernetes), and infrastructure-as-code.
- Familiarity with performance/load testing tools (k6, JMeter, LoadRunner) and observability platforms (DataDog).
- Exposure to Gen-AI/LLM-powered testing tools (Copilot, OpenAI) or custom prompt/embedding solutions.
- Strong communication, facilitation, consensus-building, and stakeholder-management skills.
- Proven ability to mentor and elevate team technical capabilities.
Nice-to-haves
- Relevant certifications (AWS, testing tools, or observability) are a plus.
Benefits
- Comprehensive benefits and continuous learning opportunities.
- Environment where employees can succeed, both professionally and personally.