Senior Backend Engineer – Platform & Architecture, AppSec Solution

Posted 22 hours ago

This is a fully remote position, open to applicants in Armenia.

πŸ“‹ Description

β€’ Oversee infrastructure and architectural projects across the organization alongside the Software Architect, managing the entire process from design to implementation across various teams.

β€’ Establish and maintain shared foundations and standards for services.

β€’ Guide the advancement of the data layer as customer needs grow.

β€’ Develop foundational platforms for integrating AI agents within the OX product.

β€’ Spearhead cost optimization on the application side, including service scaling using Kubernetes.

β€’ Enhance reliability and observability across services.

β€’ Promote AI-assisted development methodologies within R&D while upholding engineering standards.

β€’ Facilitate technical alignment with team leaders, DevOps, and Product teams.

β€’ Evaluate designs, promote reuse, and elevate the architectural standards across R&D.

β€’ Create platform code and implement changes across various teams.


⛳️ Requirements

β€’ A minimum of 7 years of experience in backend engineering, demonstrating architect-level expertise in system design.

β€’ Extensive production experience with Node.js and TypeScript.

β€’ Regular utilization of AI tools and a proactive approach to adopting new AI technologies.

β€’ In-depth experience with scalable databases, including data modeling, performance optimization, and the evolution of a production data layer.

β€’ Demonstrated hands-on experience in platform engineering and infrastructure, with shared foundations that have been successfully implemented across teams.

β€’ Practical experience with Kubernetes and a solid understanding of DevOps practices.

β€’ Proven ability to lead technical projects that span teams and influence outcomes without formal authority.

β€’ Excellent written communication skills, including the ability to create design documentation and conduct technical reviews.

β€’ Practical knowledge of LLMs and AI agents.

β€’ Experience in optimizing cloud costs.

β€’ A background in cybersecurity or SaaS is preferred.


🏝️ Benefits

β€’ Flexibility to work remotely.

β€’ Engage in developing AI-driven application security solutions.

β€’ A role that has a significant impact across multiple functions.

β€’ Chance to influence architecture and infrastructure throughout the product.

β€’ Opportunity to collaborate with AI agents and explore AI-assisted development.

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