Senior Full Stack Software Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Full Stack Software Engineer based in the United States.

This is an opportunity to build and evolve modern, cloud-native applications across the full technology stack.

• 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.

• 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