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Role overview
Job description
JD for Core and tools lead Key Responsibilities: Architect & Design: Define the technical vision and architecture, ensuring scalability, reliability, and efficiency. Performance Optimization: Lead efforts in query optimization, indexing strategies, and efficient data partitioning for distributed workloads. Database Internals & Citus Integration: Enhance PostgreSQL and Citus features to improve distributed data processing. Replication & High Availability: Design and implement robust replication, failover, and backup strategies. Security & Compliance: Ensure data integrity, encryption, and adherence to industry security standards. Tooling & Monitoring: Enhance database monitoring tools to improve observability. Collaboration: Work closely with developers, DevOps, and product teams to align database technology with business needs. Research & Innovation: Stay updated with industry trends in distributed databases, cloud-native architectures, and storage engines. Required Skills & Experience: 8 plus years of hands-on experience and strong proficiency in C and C++ for developing database engines. Working knowledge of Python and Perl is a plus. Experience with query planning, indexing, and database performance tuning. Deep understanding of replication, sharding, and high-availability architectures. Hands-on experience with PostgreSQL performance monitoring tools. Experience in database security, access control, and encryption. Strong problem-solving skills and the ability to mentor engineering teams. Preferred Qualifications: Contributions to PostgreSQL, Citus, or open-source database projects. Knowledge of distributed consensus algorithms (Raft, Paxos). Experience in parallel query execution. Exposure to AI/ML-driven database optimizations.
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About this listing
- Source: Automios's official careers site · still listed there on 9 Nov 2026
- Posted 22 Sept 2025
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What they are looking for
Skills & requirements
Qualification
Contributions to PostgreSQL, Citus, or open-source database projects. Knowledge of distributed consensus algorithms (Raft, Paxos). Experience in parallel query execution. Exposure to AI/ML-driven database optimizations.
Department · Engineering / Development
Hiring company
Automios
AI, Data Engineering, Cloud, and Enterprise Automation for scalable digital ecosystems.
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