Software Engineer, Platform (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Software Engineer, Platform (Python): Building and optimizing mission-critical infrastructure and platform-spanning capabilities for an AI-enabled public safety platform with an accent on system performance and scalability. Focus on re-architecting data stores like Elasticsearch and implementing high-impact platform features to reduce latency and improve operational intelligence.
Location: Must be located in San Francisco and open to working in office
Salary: $160,000 - $220,000 Annually
Company
AI-enabled platform providing operational intelligence for public safety, government agencies, and private-sector institutions.
What you will do
- Own large portions of the application from conception to deployment, making high-impact architectural decisions.
- Create novel capabilities and optimize subsystems to achieve order-of-magnitude performance improvements.
- Re-architect the Elasticsearch cluster to reduce response times from seconds to milliseconds.
- Lead strategic initiatives that deliver industry-leading platform performance and capabilities.
- Collaborate directly with deployment teams and users to iterate and solve complex real-world problems.
Requirements
- Must be located in San Francisco.
- 2-5 years of experience working with cross-functional software development teams.
- Degree in Computer Science or a related field, or equivalent experience.
- Experience shipping and iterating on production-grade software professionally or in open-source.
- Ability to write robust, well-tested, and well-designed code that is frequently deployed.
- Strong technical vision and ability to synthesize product requests into reliable software components.
Culture & Benefits
- Competitive annual salary with additional bonus and equity opportunities.
- Comprehensive benefits package.
- Engineering culture rooted in empathy, ownership, and collaboration.
- High-impact environment where engineers work closely with users to understand use cases.
- Inclusive work environment committed to diversity and equal opportunity.
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