hackajob Tech Stack
AI-powered talent matching platform for tech hiring at scale
hackajob operates a two-sided marketplace using Python, TensorFlow, and cloud infrastructure (Azure, AWS, GCP) to match tech talent with roles via AI agents. The tech stack reveals an ML-first organization: TensorFlow + MLflow + Azure Machine Learning signal production-grade model pipelines, while Kubernetes + Docker + PostgreSQL + Elasticsearch support high-volume matching workloads. Hiring is engineering- and data-heavy (62 and 32 roles respectively), with accelerating velocity and a notable security push (16 open security roles, including Infrastructure Security Lead and SRE Tech Lead), pointing toward hardening systems as the platform scales.
Tech Stack 200 technologies
What hackajob Is Building
◆Challenges
- Ensuring compliance with open systems standards
- Slow expensive superficial research methods
- Low health literacy
- Continuous security coverage
- Optimizing full-funnel performance
- Reducing build friction
- Scaling hiring
- Complex healthcare system
- Simplifying complex infrastructure
- Ensuring database reliability
▲Active Projects
- Rollout yugabytedb platform components
- Coding benchmark development
- Supercomputers for weather forecasting
- Systems to track unsafe products
- Develop performance measuring frameworks
- Vendor performance improvement projects
- Account strategy development
- Framework and governance development
- Secure intelligence systems for law enforcement
- Embedding security controls into yugabyte platform
Hiring Activity
Department
Seniority
Notable leadership hires: Lead Architect, Infrastructure Security Lead, Engineering Director, Chief Commercial Officer, SRE Tech Lead