c++ sme

2 days ago

Chennai, Tamil Nadu, India Career Soft Solutions Pvt. Ltd. Full time ₹ 10,00,000 - ₹ 1,80,00,000 per year

Skillset
: C++ SME

Experience
: 5 - 9 Years

Job Location
: Chennai

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
:

  • Strong expertise in PostgreSQL internals, Citus, and distributed databases.
  • Proficiency in C, C++ for database engine development.
  • 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.
  • Familiarity with Kubernetes, Docker, and cloud-native database deployments.
  • 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.

Regards,

Bala

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