Cloud Security Architect for Enterprise Data Systems

6 days ago


Santa Clara, California, United States Oleria Corp. Full time

Job Overview

Oleria Corp. seeks an expert Backend Software Engineer with a strong focus on data architecture to optimize cloud identity security, B2B SaaS products handling massive datasets and high transaction volumes.

About Oleria Corp.

A leading enterprise cybersecurity startup founded by industry veterans, backed by significant funding, aims to revolutionize access control for cloud applications using AI and graph technology.

Target customers include Fortune 500 corporations and public sector organizations, making this role crucial in securing data for millions worldwide.

Your Strengths & Responsibilities

  • Backend Development: Lead the design, development, and optimization of microservices, RESTful APIs, and ETL processes as an experienced backend engineer.
  • Cloud Data: Leverage cloud platforms (especially AWS) to build efficient, cost-effective data solutions using services like S3, Redshift, EMR, and Glue.
  • Data Architecture: Design, build, and manage large-scale distributed data architectures focusing on security, scalability, and performance.
  • Data Modeling & Governance: Excel at data modeling and establishing data governance frameworks ensuring data quality, integrity, and compliance.
  • Problem Solving & Optimization: Drive efficiency in complex data challenges, finding creative solutions to optimize data pipelines and queries for maximum performance.
  • Performance Optimization: Focus on reducing costs, improving processing times, and efficient data ingestion to lead these efforts for Oleria Corp.
  • AI/ML: Prepare and optimize data for use in AI/ML applications, collaborating with the team to deliver successful trained model deployments.

Required Skills & Qualifications

  • 10+ years experience in backend software engineering, particularly with microservices and APIs.
  • Deep understanding of data architecture principles and best practices.
  • Strong data modeling and data warehousing skills.
  • Expertise in ETL optimization and data pipeline development.
  • Familiarity with AI/ML concepts and data preparation techniques.
  • Proven ability to optimize systems for cost and performance.
  • Experience with cloud platforms, ideally AWS, with knowledge of S3, Redshift, EMR, and Glue.
  • Strong programming language skills (Python, Java, Go) and willingness to work in Go.
  • NoSQL and SQL experience.
  • Strong communication and collaboration skills.
  • Big Data Technology Experience (Hadoop, other).
  • Experience with Graph Databases.

What We Offer

  • Competitive compensation ($180,000 - $240,000 annual salary range).
  • 100% paid medical, dental, and vision benefits for individuals, plus generous contributions toward dependent plan premiums.
  • Company-paid Life, STD, and LTD insurance.
  • 12 weeks fully-paid parental leave for all new parents.
  • Flexible PTO policy.
  • 13 paid holidays in the US.


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