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.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.