Software Engineer responsible for automation test scripting and software testing. Collaborating with R&D for firmware and software quality assurance at Supermicro in Taiwan.
About the role
- Senior Software Engineer building and scaling AI-powered internal tools at LexisNexis. Leading technical decisions and collaborating across global engineering teams.
Responsibilities
- Own the design and implementation of complex internal AI-enabled tools and workflows
- Partner closely with Product Managers, Business Analysts, and Engineering Managers to translate defined problems into scalable technical solutions
- Lead hands-on development using AI-assisted and agentic tools to accelerate delivery while maintaining code quality and reliability
- Evaluate, select, and apply appropriate AI development tools and patterns based on use case complexity and risk
- Perform and lead code reviews, providing constructive feedback and setting engineering standards
- Collaborate across global teams contributing to shared internal platforms and reusable components
- Troubleshoot complex issues across the stack and guide others in effective problem resolution
Requirements
- Significant professional software development experience with increasing technical responsibility
- Strong full-stack engineering background with: – At least one modern client-side framework (Angular preferred, but flexible) – At least one server-side language (.NET/C# preferred, but flexible)
- Demonstrated hands-on experience using AI-assisted and agentic development tools such as: – GitHub Copilot – Claude / Claude Code – Codex, Gemini, or similar tools
- Ability to clearly articulate and demonstrate: – How AI tools are integrated into real development workflows – Tradeoffs between different agentic tools and approaches – When AI accelerates development and when traditional engineering rigor is required
- Strong debugging, code comprehension, and system-level problem-solving skills
- Production experience with .NET and Angular
- Experience building internal tools, platforms, or developer productivity solutions
- Familiarity with AI-enabled architectures such as workflow automation, LLM-backed services, or retrieval-augmented solutions
- Experience contributing to or defining shared libraries, frameworks, or platform services
- Comfort operating in distributed, global engineering teams
- Hands-on experience with modern DevOps and CI/CD workflows using GitHub or similar tooling
Benefits
- Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
- Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
- Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
- Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
- Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
- Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
- Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice
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