Senior Full Stack Software Engineer

Accountabilities

• • Own and deliver end-to-end product features from discovery and design through production support, ensuring solutions meet business and user needs.
  • Build accessible, performant, and maintainable user interfaces using React and TypeScript, following modern frontend engineering practices.
  • Design and implement backend services and GraphQL APIs with Node.js, including clear contracts, versioning strategies, and scalable service boundaries.
  • Develop and operate cloud-native and serverless workloads on AWS, using technologies such as Lambda, EventBridge, Aurora, SQS/SNS, and DynamoDB.
  • Contribute to event-driven, service-oriented, and event-sourced architectures that can scale reliably and evolve safely.
  • Use AI coding agents as a primary development tool for appropriately scoped work, creating precise specifications, acceptance criteria, and task decompositions while rigorously reviewing generated output.
  • Develop and maintain the context, standards, documentation, architectural guidance, and reusable resources that enable AI agents to work effectively and safely.
  • Orchestrate multi-agent workflows by breaking larger initiatives into parallel tasks, supervising execution, and integrating results into coherent, production-ready changes.
  • Collaborate on AI tooling and integrations, including MCP servers and other mechanisms that provide agents with secure, controlled access to engineering resources and internal systems.
  • Build AI-enabled product capabilities when they provide meaningful user value, including integrations with LLM APIs, retrieval pipelines, and agentic workflows.
  • Define and maintain automated evaluations, regression suites, quality benchmarks, and safeguards for AI-powered functionality.
  • Create and maintain unit, integration, contract, and end-to-end tests that verify behavior and provide a strong safety net for both human- and AI-assisted development.
  • Improve CI/CD pipelines, release processes, and infrastructure-as-code practices using tools such as AWS CDK, Terraform, or CloudFormation.
  • Implement observability through structured logging, metrics, and telemetry, while participating in on-call support, incident response, and blameless postmortems.
  • Apply secure development practices, least-privilege access, encryption, data minimization, appropriate retention, and strong secrets management.
  • Identify and mitigate AI-specific risks such as prompt injection, sensitive data exposure, insecure agent permissions, and over-privileged automation.
  • Collaborate with product, design, QA, and engineering teams to influence technical direction and translate business outcomes into effective engineering solutions.
  • Mentor other engineers on system design, code quality, testing, and safe AI-assisted development practices.

  Requirements

  • 5+ years of professional experience building and delivering production web applications, with strong full-stack engineering capabilities.
  • Strong hands-on experience with React and modern frontend development, with TypeScript as a primary language.
  • Strong backend development experience with Node.js and event-based service design.
  • Practical experience deploying and operating applications in AWS environments, particularly cloud-native or serverless architectures.
  • Familiarity with event-driven and event-sourced system design and the ability to contribute to scalable service architectures.
  • Demonstrated experience with automated testing, CI/CD pipelines, Git-based workflows, and collaborative code reviews.
  • Practical production experience using AI coding assistants or agents, with the ability to evaluate where they add value, recognize their limitations, and verify their output rigorously.
  • Strong problem-solving, analytical, and system-design skills, with the ability to work effectively across the full technology stack.
  • Excellent written and verbal communication skills and the ability to collaborate effectively with cross-functional teams.
  • A strong ownership mindset, taking responsibility for production outcomes, reliability, security, and maintainability rather than simply completing assigned development tasks.
  • Experience with GraphQL and contract-first API development is preferred.
  • Familiarity with infrastructure-as-code tools such as AWS CDK, Terraform, or CloudFormation is preferred.
  • Experience with observability tooling and OpenTelemetry-based instrumentation is a plus.
  • Experience with SQL and/or NoSQL databases, including data modeling for event-sourced systems, is advantageous.
  • Experience in regulated or security-sensitive environments is beneficial.
  • Experience orchestrating multiple coding agents, developing MCP servers, or building internal engineering tooling is a plus.
  • Experience delivering LLM-powered features involving retrieval, tool use, prompt/version management, evaluation, guardrails, or AI governance is advantageous.
  • Experience with large-scale automated refactoring, migration, modernization, developer experience, or internal platform initiatives is a plus.

  Benefits

  • Fully remote position with a distributed team environment.
  • Opportunity to work on modern cloud-native technologies and AI-assisted engineering practices.
  • Meaningful technical ownership across frontend, backend, infrastructure, architecture, and product development.
  • Collaborative, product-led environment with close interaction across engineering, product, design, and QA.
  • Generous paid time off.
  • 401(k) plan.
  • Medical, dental, and vision coverage.
  • Competitive compensation package.
  • Opportunity to influence engineering standards, AI development workflows, and technical direction.
  • Supportive environment focused on continuous learning, experimentation, and professional growth.