PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yr On-SiteFull Time
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
Python, PyTorch, Elasticsearch, LLMs
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
1mo
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Senior Platform Engineer, Data & AI Infrastructure
Durham or New York City or Los Angeles or Phoenix
$140k-$160k/yr HybridFull Time
4+ YOE4+ years of professional software engineering with backend focus; strong Python, cloud, and data tooling; experience with AI/LLM integration and security best practices.
Terraform, GitOps, Snowflake, Fivetran, DBT, Python, FastAPI, Docker, Kubernetes, OpenAI, Anthropic, Google Gemini, BigQuery, Dataform, Cloud Run, Compute Engine, Secret Manager, Artifact Registry, Cloud Build, Cloud Monitoring, IAM, Secret Management, ECR, CodePipeline, CI/CD
2w
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Distinguished Technologist, Distributed Systems & Agentic Query Optimization
San Jose or Houston or Durham or Andover
$170k-$413k/yr HybridFull Time
15+ YOE15+ years engineering and architectural leadership experience building and operating large distributed systems and cloud platform services; strong data engineering, distributed query, cloud-native, and AI-first prototyping skills.
Spark, Kafka, Parquet, Go, Java, BigQuery, AWS, GCP, Azure
2w
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Distinguished Technologist, Distributed Systems & Agentic Query Optimization
San Jose or Houston or Durham or Andover
$170k-$413k/yr HybridFull Time
15+ YOE15+ years designing and operating large distributed systems and cloud platform services; expertise in distributed query engines, federated data, cloud-native architecture; strong communication and technical leadership skills.
Spark, Kafka, Parquet, Go, Java, BigQuery, AWS, GCP, Azure