Responsibilities
- Own and evolve the architecture for key areas of the Integrated Benefits platform, ensuring systems are scalable, reliable, and adaptable to future needs.
- Drive architectural decisions and technical strategy within your domain, making informed tradeoffs that balance business goals, technical constraints, and long-term sustainability.
- Contribute to the technical roadmap for your area of the platform, aligning your work with team objectives and broader Benefits engineering priorities.
- Design and build shared platform capabilities that support Voluntary Life and Disability (vLiDi) products and broker integrations across the Benefits ecosystem.
- Lead the technical approach to complex, ambiguous problem spaces, partnering with product, design, and cross-functional stakeholders to define end states and guide systems toward them.
- Identify cross-team dependencies and influence alignment on architectural patterns, standards, and best practices.
- Raise the technical bar by mentoring engineers through design reviews and, architectural guidance.
- Apply AI tools to accelerate development, improve code quality, and enable intelligent product capabilities, while evaluating emerging frameworks using clear success criteria.
- Contribute to shared tooling, patterns, or standards that enable safe and effective experimentation, including AI-driven workflows, across teams.
Requirements
- 10+ years of software engineering experience building and supporting production software systems.
- Significant experience designing and evolving complex backend systems, including deep experience in Ruby on Rails–based environments.
- Demonstrated ability to own architectural decisions within a product domain and influence technical direction across teams.
- Experience building or contributing to platform capabilities or shared systems depended on by multiple teams.
- Strong foundation in system design, data modeling, and working with complex, interconnected production systems.
- Comfort operating in ambiguous problem spaces and leading technical decision-making through uncertainty.
- Strong communication and collaboration skills, with the ability to influence engineers and cross-functional partners without formal authority.
- Experience applying AI tools in production engineering workflows to improve development velocity, system quality, or product behavior.
- Familiarity with evaluating AI-driven outputs using well-defined success criteria and operational constraints.
Nice to Have
- Experience working in highly regulated domains such as Benefits, Payroll, HR, Taxes, or Compliance.
- Experience designing or evolving large-scale integration platforms or service-oriented architectures.
- Prior work supporting external partners or third-party integrations.
- Experience contributing to internal developer platforms, shared tooling, or technical standards.
- Exposure to AI-driven systems beyond experimentation, including monitoring, evaluation, or governance.
Additional Information
- A secure, reliable, and consistent internet connection is required.
