PromotedHiringCafe
Founding Backend / Infra Engineer
Cupertino, CA, US
$160k-$300k/yr On-SiteFull Time
Own the crawlers, pipelines, and infrastructure powering a real-time job search engine. Strong Node.js and Python fundamentals; bonus points for security and reverse-engineering chops.
Node.js, Python, Elasticsearch, Redis
PromotedHiringCafe
Founding Full-stack / Product Engineer
Cupertino, CA, US
$130k-$300k/yr On-SiteFull Time
Help us build a 100× better job search engine. We need a full-stack engineer with great taste, sharp fundamentals, and a track record of shipping polished product on React/Next.js plus a real backend (Firebase, Elasticsearch, Redis, Stripe).
React, Next.js, TypeScript, Firebase, Elasticsearch, Redis, Stripe
3mo
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Python Developer IV
Webster or Chicago or St Petersburg or Phoenix or Tempe
$111k-$175k/yr HybridFull Time
5+ YOE5+ years backend software development; Python/Django; AWS; REST APIs; PostgreSQL/MySQL; Docker; CI/CD.
Python, Django, REST, Celery, Redis, AWS, EC2, S3, RDS, Lambda, CloudWatch, PostgreSQL, MySQL, Docker, Kubernetes, Jenkins, GitHub Actions
3w
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Agentic AI Engineer III - Cybersecurity
New York or Phoenix or Phoenix
$104k-$175k/yr HybridFull Time
2+ YOE2+ years software engineering experience; hands-on experience with AI/LLM features; strong backend skills in Python, Go, or TypeScript; familiarity with APIs, cloud concepts, and modern development practices; collaborative and customer-focused.
Python, Go, TypeScript, APIs, LLM, Retrieval-Augmented Generation (RAG), CNAPP, CSPM, SSPM, SIEM, vector databases
1w
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AI Engineer III
New York or Palo Alto or Phoenix
$104k-$175k/yr HybridFull Time
4+ YOE4+ years software engineering experience; backend proficiency (Python, Go, TypeScript); experience with LLM/AI features, cloud (AWS/GCP), APIs, and collaborative engineering.
Python, Go, TypeScript, AWS, GCP, Kubernetes, REST, gRPC, Kafka
1w
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Sr AI Engineer II
New York or Palo Alto or Phoenix
$123k-$215k/yr HybridFull Time
8+ YOE8+ years software engineering experience with production LLM or applied ML systems; strong backend, APIs, data pipelines, cloud (AWS/GCP), Kubernetes, and agentic AI tooling; product orientation and ownership.
Python, Go, TypeScript, AWS, GCP, Kubernetes, REST, gRPC, Kafka, LLMs, RAG