11 часов назад
Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer (AI): Building backend systems, APIs, data pipelines, workflow engines, and frontend interfaces for an agentic security platform with an accent on AI-assisted development, cloud architecture, and product-focused engineering. Focus on translating customer pain points into shipped software, designing security workflows, and solving complex problems across the product stack.
Location: Boston, MA; hybrid work
Company
AI-native security platform focused on reimagining security products and workflows.
What you will do
- Design, implement, and maintain backend systems, APIs, data pipelines, and workflow engines.
- Build across the product stack, including backend services and frontend interfaces, using AI-assisted development.
- Translate customer pain points into product requirements and shipped software.
- Engage directly with customers to understand problems and validate solutions.
- Shape product and design decisions while selecting suitable technologies and architectures.
Requirements
- 5+ years of backend or full-stack engineering experience with strong system design, API, and data modeling fundamentals.
- Hands-on cloud design and implementation experience; AWS is preferred.
- Proficiency with TypeScript, Node, or similar modern server-side languages.
- Fluency with AI coding tools such as Claude, Cursor, or similar solutions.
- Product instinct, strong problem-solving and communication skills, and comfort engaging directly with customers.
- Experience in or strong curiosity about security domains such as SIEM, SOAR, EDR, MDR, or incident response workflows.
Nice to have
- Experience with workflow automation, SOAR platforms, or security orchestration.
- Familiarity with Temporal or similar workflow engines.
- Design sensibility or experience in product-facing or customer-facing engineering roles.
- Python experience.
Culture & Benefits
- Broad ownership across product, engineering, and design decisions.
- Direct collaboration with customers and close involvement in shaping the product.
- Fast-moving environment with a can-do, fast-shipping approach.
- Strong emphasis on AI-assisted development.
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