Software Engineer II (Python/React)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Software Engineer II (Python/React): Building and operating 's demo platform and internal AI-powered automation tools with an accent on scalability, reliability, and AI integration. Focus on designing end-to-end internal products, optimizing data pipelines, and creating AI-forward workflows to improve operational efficiency.
Location: Must be based in the United States
Company
empowers creators to own their destiny by making first-party data accessible and actionable in ecommerce.
What you will do
- Design, build, and maintain internal web applications, APIs, and data pipelines used by Sales, Marketing, and Finance teams.
- Develop and optimize AI-powered workflows and agents to automate repetitive operational tasks.
- Own features end-to-end from initial design and requirements gathering through deployment, monitoring, and iteration.
- Contribute to the architectural evolution of internal platforms to ensure scalability and observability as usage grows.
- Participate in on-call rotations and manage the operational health of production code.
- Collaborate with Product, Design, and operational stakeholders to translate real-world problems into pragmatic software.
Requirements
- 3-5+ years of experience building full-stack or backend-heavy SaaS products, platforms, or internal tools at scale.
- Must be based in the United States.
- Proficiency in modern web architecture, including backend services, data pipelines, or integrations.
- AI-forward approach: comfortable using LLMs and AI coding assistants (e.g., Copilot, Cursor) to accelerate development.
- Experience with operational excellence, including debugging in production and working within SLOs.
- BA/BS degree in Computer Science or equivalent professional experience.
Nice to have
- Experience building internal tools or automations for developers and non-technical stakeholders.
- Practical experience building AI-powered systems, such as RAG pipelines or agentic workflows using LLM APIs.
- Familiarity with AWS, Terraform, and Kubernetes for designing reliable services at scale.
Culture & Benefits
- Comprehensive health, welfare, and wellbeing benefits package.
- Participation in an annual cash bonus plan and equity opportunities.
- Culture of AI fluency, promoting the responsible use of AI in engineering workflows.
- Collaborative, agile environment focused on shipping early and often.
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