Staff Engineer (Backend Oriented - Python)

TL;DR

Staff Engineer (Backend Oriented - Python): Owning and expanding a critical backend data processing platform between data ingestion and the customer-facing application with an accent on data enrichment and grouping/similarity. Focus on reducing processing latency and improving throughput by designing efficient message-driven pipelines.

Location: Tel Aviv District, Israel

Company

hirify.global is the AI-powered platform for finance automation.

What you will do

• Increase enrichment accuracy and coverage by evolving data processing logic and adding new capabilities.
• Reduce processing latency and improve throughput by designing efficient message-driven pipelines.
• Maintain clear, stable service interfaces (HTTP/gRPC) and schemas with strong backward compatibility.
• Model data and write efficient Postgres queries; strategically use vectors/embeddings where they add value.
• Build internal analytics/debugging tools to accelerate triage and insight for engineering and operations teams.
• Raise the quality bar through component/integration/snapshot tests, thorough code reviews, documentation, and release hygiene.

Requirements

• Core Backend Expertise: Strong Python 5+ backend experience, including building production services with a focus on clean code and maintainability.
• Experience with message-driven systems (e.g., AWS SQS or similar) and background workers.
• Solid SQL and Postgres fundamentals; comfort with schema evolution and performance basics.
• Service API fundamentals: HTTP and gRPC; awareness of protobuf/versioning and backward compatibility practices.
• Familiarity with CI/CD as a user (e.g., GitHub Actions) and comfortable with branch-based test environments.
• Strong observability mindset: the ability to add metrics, read logs/dashboards, and debug issues systematically.

Nice to have

• Practical experience with pandas, scikit-learn, onnxruntime, numba, and production inference experience.
• Practical work with embeddings/similarity (e.g., pgvector) for grouping and search functionalities.
• Experience building internal analytics tools (e.g., Streamlit) for triage and insight.
• Deeper gRPC/protobuf practices, including schema evolution strategies and performance tuning.
• Experience with security/privacy in data-heavy domains (PII handling, secrets hygiene, auditing best practices).

Culture & Benefits

• Collaborative culture.
• Competitive benefits, a flexible workplace, career coaching.
• An environment where diverse individuals can thrive and make an impact.