Large Scale System Optimization Specialist

5 hours ago


Hyderabad City Taluka, Pakistan BigID Full time

About BigID

At BigID, we're committed to creating innovative solutions for data security, compliance, privacy, and AI data management. Our vision is to help customers achieve compliance, build customer trust, make better decisions, and get more value from their data.

We're a global team passionate about innovation and next-gen technology. Some of our notable achievements include:

  • Recognition as a Hot Company in Artificial Intelligence and Machine Learning at the 2024 Global InfoSec Awards
  • Inclusion in the Citizens JMP Cyber 66 List of Hottest Privately Held Cybersecurity Companies
  • Featured in the CRN 100 list as one of the 20 Coolest Identity Access Management And Data Protection Companies Of 2024 (2 years running)
  • Named DUNS 100 Best Tech Companies to Work For in 2024
  • Shortlisted for the 2024 AI Awards in the category of Best Use of AI in Cybersecurity

Our Team

We're a diverse team of innovators and experts who share a passion for innovation and next-gen technology. We believe in creating a culture where everyone feels valued and empowered to contribute to our success.

The Role

We're seeking a skilled performance tech lead with 7+ years of experience in optimizing large-scale systems. The ideal candidate will have a strong background in performance testing, bottleneck analysis, and system optimization, with hands-on experience in Kubernetes (K8S), Kafka, MongoDB Atlas, and Elasticsearch.

Key Responsibilities

  • Develop and implement performance testing strategies to optimize system performance and scalability.
  • Analyze and troubleshoot performance bottlenecks across the stack, focusing on large-scale systems.
  • Collaborate with development and infrastructure teams to ensure efficient data handling and storage.
  • Work with MongoDB Atlas and Elasticsearch databases, ensuring efficient query execution.
  • Manage and monitor catalogues to ensure data integrity and security.
  • Conduct data analysis to provide insights and improve system performance.
  • Offer recommendations for architectural improvements and performance tuning.

Requirements

The ideal candidate will have:

  • 7+ years of expertise in performance engineering for large-scale systems.
  • K8s Kafka performance analysis skills.
  • Strong understanding of performance testing tools, methodologies, and best practices.
  • Proficiency in analyzing system behavior, identifying bottlenecks, and implementing optimizations.
  • Experience with data analysis and visualization tools - Advantage.
  • Hands-on experience with MongoDB Atlas and Elasticsearch - Advantage.


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