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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Software Engineer, Full Stack (AI): Building and operating privacy-focused SaaS platform capabilities across React, Node.js, PostgreSQL, and AWS with an accent on end-to-end product ownership, secure system design, and AI-assisted engineering. Focus on leading multi-sprint delivery, designing observable production systems, applying privacy controls to customer data, and mentoring engineers.
Location: Fully remote within the United States; must be based in and authorized to work in the U.S. The role may require in-person interviews in Austin, Texas. At least four hours of daily overlap with the team's core hours is required.
Company
hirify.global is a B-Corporation and data privacy platform providing consent management and vendor risk monitoring for organizations handling GDPR, CCPA, and other privacy regulations.
What you will do
Lead multi-sprint projects from problem definition and design through rollout, including planning, scoping, MVP decisions, tradeoffs, and customer-impact measurement.
Build and operate product capabilities across React, Node.js, PostgreSQL, and AWS, supported by system design documents and decision records.
Use AI coding agents and assistants for codebase exploration, scaffolding, testing, debugging, refactoring, migrations, code review, and engineering automation while verifying all generated code.
Own production systems through observability, feature flags, rollback paths, on-call rotation, incident response, postmortems, and technical-debt planning.
Apply privacy and security by design, including data minimization, residency, retention, access controls, secure coding, and vulnerability remediation.
Review code and designs, mentor engineers, improve testing and operations practices, interview candidates, and help define responsible AI-tool usage.
Requirements
Typically 5+ years building and shipping production software, with emphasis on owned outcomes rather than years alone.
Experience leading multi-sprint projects from design to production in a team setting.
Strong JavaScript/Node.js and React experience, plus solid relational database skills; PostgreSQL is preferred.
Strong system-design fundamentals, including data modeling, API design, and evaluating tradeoffs.
Experience owning production systems, including on-call, incident response, and observability.
Hands-on daily use of AI coding tools such as Claude Code, Cursor, or Copilot, with concrete examples of improving individual or team effectiveness and verifying output.
Experience mentoring other engineers.
Strong written communication in a remote, async environment.
Customer-focused product judgment, ownership of outcomes, comfort with ambiguity, clear writing, documentation, async communication, direct and kind feedback, and continued learning about AI-assisted software development.
Nice to have
AWS experience with ECS/Fargate, Lambda, S3, or RDS, especially multi-region or data-residency work.
Experience with privacy, security, or compliance-sensitive B2B SaaS, including GDPR, CCPA, or SOC 2.
Experience building AI-powered automations, agent workflows, or LLM-based product features.
Experience with Redshift, Athena, or event-driven architectures.
Experience with CI/CD, preview or ephemeral environments, or end-to-end testing with Cypress.
Culture & Benefits
Fully and permanently remote work within the U.S., with collaborative video meetings and an async-first working style.
Regular manager 1:1s focused on growth, plus access to training, career paths, and professional development.
Competitive compensation with ownership interest or equity, unlimited paid time off with at least two weeks off required annually, and paid parental leave.
hirify.global covers 100% of individual premiums and 50% of dependent premiums for eligible Aetna medical, dental, and vision plans; mental health benefits are also provided.
MacBook, $600 home-workspace allowance, and an annual company trip.
Hiring process
The role may require one or more in-person interviews in Austin, Texas.
Candidates should be prepared to provide concrete examples of AI-tool usage and explain how AI-assisted output is reviewed and verified.
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