• Design, build, test, and ship production features across a modern TypeScript-based technology stack.

• Own backend services, APIs, integrations, data flows, and serverless infrastructure, with a strong focus on reliability and maintainability.

• Contribute to frontend development when required, using React, Next.js, TypeScript, and related modern web technologies.

• Design and operate scalable, serverless, event-driven systems on AWS.

• Build and maintain integrations with enterprise systems, contract platforms, communication tools, and third-party APIs.

• Develop infrastructure-as-code workflows and contribute to the ongoing evolution of cloud architecture.

• Work directly with enterprise customers and stakeholders to understand workflows, technical requirements, and business needs.

• Translate ambiguous customer requirements into well-scoped, maintainable, and valuable product capabilities.

• Communicate technical tradeoffs clearly and challenge requirements constructively when alternative approaches would deliver better outcomes.

• Use AI coding agents extensively to accelerate development, break work into parallel streams, and increase engineering productivity.

• Critically review, test, debug, and refine AI-generated code, maintaining full ownership of the quality, security, correctness, and maintainability of the final implementation.

• Establish and maintain strong engineering standards around testing, code quality, security, reliability, and maintainability.

• Identify opportunities beyond immediate customer requirements and turn emerging needs into valuable product improvements.

• Contribute to technical strategy, architecture decisions, engineering processes, and practices as the organization scales.

• Take ownership of significant projects and deliverables from initial definition through production deployment and iteration.

Requirements:

• Senior or Staff-level professional software engineering experience, preferably within a product-focused SaaS or technology environment.

• Deep professional experience with TypeScript and strong backend engineering expertise.

• Extensive experience with Node.js, Bun, or comparable JavaScript/TypeScript runtimes.

• Ability to contribute across the full stack, including modern React and/or Next.js applications.

• Proven experience building and operating production systems on AWS.

• Strong understanding of serverless and event-driven architecture, distributed systems, and scalable backend workflows.

• Experience designing and maintaining APIs, integrations, asynchronous workflows, and third-party system connections.

• Practical experience with PostgreSQL or another relational database technology.

• Familiarity with infrastructure-as-code practices and tools such as SST, Pulumi, or comparable technologies.

• Strong product judgment and the ability to turn ambiguous customer or business needs into well-defined, maintainable solutions.

• Experience working directly with enterprise customers, technical stakeholders, or non-technical business users.

• Excellent written and verbal English communication skills, with the ability to explain technical concepts and tradeoffs clearly.

• Strong organizational skills, attention to detail, and a high level of ownership over projects and outcomes.

• Demonstrated experience using advanced AI coding tools or coding agents as a meaningful part of daily software development.

• Ability to critically assess AI-generated implementations, identify subtle technical issues, and take responsibility for the final quality of the code.

• Strong understanding of software engineering fundamentals, including testing, debugging, security, reliability, maintainability, and production operations.

• Previous experience as a founding engineer or early-stage startup engineer is an advantage.

• Experience in forward-deployed engineering, solutions engineering, implementation, or technical consulting is a plus.

• Experience integrating enterprise platforms such as SAP, NetSuite, Salesforce, Snowflake, Microsoft 365, Slack, or contract lifecycle management systems is valuable.

• Experience building enterprise AI products, workflow automation platforms, or AI-enabled SaaS products is advantageous.

• Familiarity with coordinating multiple AI coding agents or parallel AI-assisted development workflows is a strong advantage.

• Public projects, open-source contributions, or code samples demonstrating strong engineering practices are welcome.

• Ability to bring structure, technical maturity, and effective engineering practices to a small and rapidly growing team.

Benefits:

• Competitive annual compensation targeting approximately USD $100,000–$140,000, with flexibility for exceptional candidates up to approximately $200,000.

• Fully remote working arrangement, with Europe preferred and exceptional candidates potentially considered globally.

• Contractor or contract-to-hire employment structure.

• High degree of autonomy and meaningful ownership over architecture, implementation, and technical direction.

• Opportunity to work on an enterprise-ready AI product serving procurement, legal, and sales workflows.

• Direct interaction with enterprise customers and the opportunity to influence product development based on real-world needs.

• Highly AI-native engineering environment with extensive use of modern AI coding agents and development workflows.

• Opportunity to work with modern TypeScript, AWS, serverless architecture, event-driven systems, infrastructure as code, and enterprise integrations.

• Significant influence over engineering practices and technical decisions within a small, growing team.

• Opportunity to contribute beyond individual features and help shape the product and engineering organization as it scales.

• Fast-moving environment with direct access to technical and company leadership.

• Potential to work on challenging problems at the intersection of AI, enterprise software, automation, and developer productivity.