Senior Software Engineer, AI Intelligence Platform

Posted Aug 27

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

πŸ“‹ Description

β€’ Design, document, and drive architecture for essential platform components with a focus on scalability, reliability, security, and alignment with business objectives.

β€’ Take ownership of intricate initiatives, overseeing them from architecture and design through development, deployment, and subsequent iterations.

β€’ Convert ambiguous product goals into precise, scalable technical specifications.

β€’ Create a unified, trusted, and high-quality source of Aura's data for generating intelligence.

β€’ Develop secure AI-agent access to sensitive information utilizing least-privilege access, robust isolation, and enforceable privacy guarantees.

β€’ Construct systems that transform intelligence into tailored insights and safety measures for customers and their families.

β€’ Make and justify technology choices that balance scalability, cost, and operational simplicity.

β€’ Advocate for practices surrounding security, privacy, observability, testing, and operational excellence.

β€’ Guide engineers through design challenges, performance optimization, and system reliability.


⛳️ Requirements

β€’ 5 - 8+ years of professional software engineering experience, demonstrating a history of designing and delivering complex, large-scale distributed systems.

β€’ Extensive experience managing systems end-to-end in complex projects, from architecture through to production operation.

β€’ Strong understanding of software design best practices, data structures, algorithms, and the fundamentals of distributed systems.

β€’ Comprehensive knowledge of cloud technologies and the discernment to select suitable tools, including serverless functions, containerized services, relational and NoSQL databases, caches, queues, and data-processing pipelines.

β€’ Proven experience in developing systems that manage sensitive or regulated data, where security and privacy are primary design considerations.

β€’ Excellent communication and collaboration abilities, including the capacity to convey complex technical concepts to both technical and non-technical stakeholders and foster cross-team alignment.

β€’ Willingness and eagerness to learn new technologies and adapt swiftly in a rapidly evolving AI landscape.

β€’ Bachelor's Degree in Computer Science or a related field, or equivalent professional experience.

β€’ Preferred: experience in building AI/LLM-powered systems in production, security/privacy engineering or trust & safety, large-scale data platforms, AWS, and Infrastructure as Code.


🏝️ Benefits

β€’ Competitive salary and performance-based incentives.

β€’ Comprehensive health and wellness benefits.

β€’ Opportunities for professional development and training.

β€’ Flexible working arrangements and remote work options.

β€’ A collaborative and inclusive work environment.

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