Senior Software Engineer, AI Intelligence Platform
New
A
AuraDigital Safety
Remote PolandFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5 - 8+ years
- Required Skills
- AWSPythonTypeScriptNosqlDistributed Systems
Requirements
- 5-8+ years of professional software engineering experience, with a track record of designing and shipping complex, large-scale distributed systems.
- Deep experience owning systems end-to-end on complex projects, from architecture through production operation.
- Strong knowledge of software design best practices, data structures, algorithms, and distributed-systems fundamentals.
- In-depth knowledge of cloud technology, including serverless, containers, relational and NoSQL databases, caches, and queues.
- Demonstrated experience building systems that handle sensitive or regulated data, with security and privacy treated as first-class design constraints.
- Exceptional communication and collaboration skills.
- Bachelor's Degree in Computer Science or a related field, or equivalent work experience.
- Experience building AI/LLM-powered systems in production (preferred).
- Strong background in security, privacy engineering, or trust & safety (preferred).
- Experience with large-scale data platforms (preferred).
- Experience with AWS and Infrastructure as Code (preferred).
Responsibilities
- Design, document, and drive the architecture for key platform components, ensuring scalability, reliability, security, and alignment with business goals.
- Own complex initiatives from design and architecture through development, deployment, and iteration, navigating ambiguous product goals and translating them into clear, scalable technical requirements.
- Build the foundation that unifies Aura's data into a trusted, high-quality source for generating intelligence.
- Architect how AI agents access and reason over sensitive data, designing for least-privilege access, strong isolation, and enforceable privacy guarantees.
- Build the systems that turn intelligence into personalized insights and actions that keep customers safe.
- Make and defend high-leverage technology choices across the stack, balancing scalability, cost, and operational simplicity.
- Champion engineering best practices for security, privacy, observability, testing, and operational excellence.
- Serve as a technical mentor, providing guidance on design challenges, performance tuning, and system reliability.
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