Software Engineer

Embedded partner: Work directly with business stakeholders and customers to scope problems, run discovery sessions and turn business goals into architectures and delivery roadmaps. Rapid builder: Prototype quickly, validate with users and move the strongest ideas into production with confidence. AI contributor: Help bring AI features, such as assistants and smart search, into the products you build. Full stack developer: Build responsive web experiences in React and TypeScript, and scalable services and APIs in Node.js and GraphQL on Amazon Web Services (AWS). Quality champion: Ensure quality through test- and behavior-driven development, automated testing and thoughtful code reviews. End-to-end owner: Own the full lifecycle - requirements, architecture, implementation, release, observability and production support. Forward thinker: Simply fixing the problem isn't enough. You'll continually look for ways to improve performance, quality, cost and efficiency - and measure, fix and re-verify as a habit. Trusted advisor: Explain technical tradeoffs clearly to non-engineers, and document key decisions so teams can build on them. Three or more years of professional software engineering experience, including full stack development. Hands-on experience in a forward deployed, client-facing or solutions engineering role, working directly with business owners or customers. Strong proficiency in JavaScript and TypeScript. Production experience building front-end applications with React. Experience building back-end services and REST and GraphQL APIs with Node.js. Experience deploying and running applications on AWS, such as Lambda, ECS, API Gateway, S3, DynamoDB or RDS. Exposure to building with large language models (LLMs) or other AI services. Familiarity with continuous integration and continuous delivery (CI/CD), DevOps tools, Docker and infrastructure as code. Experience working in an agile environment using Scrum, Kanban or Extreme Programming (XP). Strong oral and written communication skills - and a knack for explaining your decision-making process to non-engineers. A collaborative, adaptable working style, demonstrated initiative and the ability to prioritize in ambiguous situations. Discovery and scoping: Run stakeholder workshops, technical assessments and solution envisioning that translate business objectives into working software. AI integration: Connect applications to LLM APIs and add retrieval-augmented generation (RAG) where it helps users. Enterprise integration: Connect to existing systems through OAuth, webhooks, versioned APIs with rate limits and data pipelines. Secure, multi-tenant design: Apply tenant isolation, role-based access and safe handling of customer data. Cost and performance awareness: Track latency, reliability and cost, and tune solutions for production scale. Experience with AI platforms such as Amazon Bedrock or OpenAI. Experience with Next.js, PostgreSQL and end-to-end testing tools such as Playwright or Cypress. Experience with Kubernetes and container orchestration. Insurance or financial services industry experience. Certified Scrum Master or similar agile certification. A bachelor's degree in a technical or business discipline, or equivalent experience.