Cloud Engineer
Position Summary & Responsibilities
Come build what the market has been missing.
Octaura is a technology company transforming how some of the world’s largest, least digitized markets operate. In loans and CLOs, trillions of dollars still move through phones, emails, and PDFs because the right infrastructure hasn’t existed — until now.
We’re applying AI, real-time data, and modern software design to asset classes long overlooked by fintech. Our platforms turn fragmented information into intelligence, manual workflows into automation, and legacy conventions into scalable market infrastructure.
You’ll join a high-impact, collaborative team building the systems these markets need to become more transparent, efficient, and connected.
The role in a nutshell
The Cloud Operations Engineer is responsible for building out our operations platform, ensuring efficiency through automation, deploying product updates, identifying production issues and implementing strategic integrations that meet our clients’ needs. The ideal candidate will have good communication skills, a well-rounded understanding of Enterprise Architecture, and an automation background with experience running production environments at scale. The candidate will help develop new architectural patterns for emerging products, contribute to environment standardization, develop new monitoring and security tools, and contribute to maintaining operational BAU.
This is an exciting time for Octaura as we are rapidly growing and are looking for energetic, collaborative and driven thinkers to join us! Please note this role is based out of our NYC office and our current structure is 4 days (Mon-Thurs) in the office, 1 day from home.
Core responsibilities
- Contribute to operational readiness and platform stability by proactive automation and reactive environment support
- Develop and maintain a platform of integrated systems and tooling to support Agile and DevOps practices across a
Key Role Competencies & Evaluation Highlights
Tests fintech startup agility, complex product understanding, and data-driven syndicated loan market comprehension.
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