System Architect

11 hours ago

Mount Abu, Rajasthan, India beBeeDatabaseAdministrator Full time ₹ 15,00,000 - ₹ 25,00,000

Job Title:

System Architect - Data Infrastructure

About the Role:

As a highly skilled System Architect - Data Infrastructure, you will be responsible for designing and implementing distributed systems that can handle high availability and performance. You will have a deep understanding of data and index shard management, schema planning, and data modeling for high availability and performance.

Key Responsibilities:

  • Design and implement distributed search clusters for high availability and performance.
  • Optimize data distribution, sharding, caching, and graph traversals for efficient query performance.
  • Design schemas and data models for search, caching, and graph-based use cases.
  • Tune query performance and indexing strategies to meet SLAs for critical production systems.
  • Automate deployment, scaling, and monitoring using DevOps tools (e.g., Terraform, Ansible, Docker, Kubernetes).
  • Troubleshoot and resolve issues in real-time for revenue-impacting systems.
  • Implement monitoring and alerting to detect performance issues.
  • Ensure security and compliance with encryption and access controls.
  • Collaborate with development and DevOps teams for application integration.
  • Stay updated on advancements in relevant database technologies.

Requirements and Skills:

Education: Bachelor's Degree / Master's Degree in Computer Science or related field

Experience: Overall 5 - 10 Years

  • 5+ years managing distributed search in production.
  • 2+ years managing in-memory databases or graph databases.
  • Proven track record with critical production systems impacting revenue.
  • Expertise in data and index shard management, caching strategies, and node-relationship modeling.
  • Strong experience in schema design and data modeling for search, caching, and graph use cases.

Technical Skills:

  • Proficient in distributed search services (e.g., OpenSearch Service, Elasticsearch).
  • Advanced knowledge of APIs, query DSL, and optimization.
  • Experience with in-memory databases (e.g., Redis, Memcached) or graph databases (e.g., Neo4j Cypher).
  • Skilled in DevOps tools: IaC, Configuration, CI/CD, Containerization, Monitoring, Scripting.

Soft Skills:

  • Strong problem-solving and analytical skills for distributed systems.
  • Quick learner, adaptable to new tools and processes.
  • Excellent communication and collaboration skills.

Certifications (Preferred):

  • AWS Certified Solutions Architect, AWS Certified Database – Specialty, or Elastic Certified Engineer.
  • Neo4j Certified Professional or Redis-related certifications.
  • DevOps certifications (e.g., Docker, Kubernetes).

Good-to-Have:

  • Experience with other distributed search databases (e.g., RDS, DynamoDB, Neptune).
  • Knowledge of big data tools (e.g., Hadoop, Spark, Kafka).
  • Familiarity with log analytics platforms (e.g., ELK Stack, Splunk).

Responsibilities of the Job Include (But Not Limited To):

  • Design and implement data infrastructure solutions.
  • Collaborate with cross-functional teams to integrate data solutions.
  • Develop and maintain technical documentation.
  • Stay up-to-date with industry trends and emerging technologies.

What We Offer:

We offer a competitive salary and benefits package, including medical, dental, and vision insurance, 401(k) matching, and generous paid time off.

How to Apply:

Apply now by submitting your resume and cover letter through our website. We look forward to hearing from you

Disclaimer:

By applying for this job, you acknowledge that you are authorized to work in the United States and that you understand the requirements and expectations outlined in this job description.

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