Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr Full Stack Engineer based in United States.
As a Sr Full Stack Engineer, you will build and evolve a sophisticated platform that helps organizations manage complex background screening and occupational health workflows. You will work across a mature Ruby on Rails monolith and a growing ecosystem of Go services, owning features from design through production. Your work will span customer-facing experiences, partner integrations, internal administration tools, and automated processing pipelines. You will contribute to AI-powered capabilities that improve document processing, data extraction, and screening workflows. The role combines full-stack engineering, backend architecture, third-party integrations, and modern AI-assisted development practices. You will join a globally distributed engineering environment where correctness, security, scalability, and delivery speed are all essential.
Accountabilities
- Design, develop, and maintain features across a Ruby on Rails monolith and Go microservices, including candidate portals, partner workflows, I-9 processes, internal administration tools, and adjudication capabilities.
- Build and extend Applicant Tracking System (ATS) integrations and third-party partner integrations to support reliable data exchange and streamlined workflows.
- Develop and maintain asynchronous vendor search, processing, and reporting pipelines with a focus on reliability, scalability, and performance.
- Use artificial intelligence (AI) throughout the engineering workflow, including AI coding assistants, automated AI-powered code reviews, and agentic development tools to improve productivity without compromising engineering quality.
- Contribute to AI-powered product capabilities such as intelligent document parsing, structured extraction from vendor records, and automated screening and adjudication workflows.
- Own features throughout their complete lifecycle, including development, testing, code review, deployment, monitoring, and ongoing improvement.
- Build well-tested experiences across major user and system workflows, maintaining high standards for correctness, security, and maintainability.
- Collaborate with engineering and cross-functional stakeholders to translate product requirements into robust technical solutions.
- Strong production experience developing business-to-business (B2B) Software as a Service (SaaS) applications.
- Solid experience with Go, or equivalent backend development experience involving HTTP services, background workers, and concurrent systems.
- Strong PostgreSQL skills and a solid understanding of relational database design and data modeling.
- Demonstrated experience building and consuming REST APIs and integrating third-party systems through technologies such as webhooks, OAuth, and Secure File Transfer Protocol (SFTP).
- Experience with Model Context Protocol (MCP) is a plus.
- Comfortable working with server-rendered frontends using technologies such as ERB, HTML, and CSS.
- Strong testing practices and a consistent focus on writing reliable, maintainable, production-ready code.
- Ability to work effectively across both frontend and backend systems and take ownership of technical initiatives from implementation through deployment and monitoring.
- Strong problem-solving, communication, collaboration, and ownership skills.
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- Annual base salary of $155,000–$170,000 USD.
- Annual bonus eligibility.
- Health, dental, and vision insurance.
- 401(k) retirement plan with employer match.
- Open Paid Time Off (PTO).
- 11 paid holidays.
- 4 annual paid Global Wellness Days.
- Short-term disability, long-term disability, and group life insurance.
- Paid parental leave.
- Pet insurance.
- Flexible Spending Account (FSA) and Health Savings Account (HSA) options.
- Employee Assistance Program.
- Fully remote work within the United States.
- Career advancement and professional development opportunities.
- Employee recognition programs.
- Access to LinkedIn Learning.
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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!
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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.
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