Note: The job is a remote job and is open to candidates in USA. Aura is on a mission to create a safer internet, providing intelligent digital safety products to millions of customers. As a Principal Software Engineer, you will tackle complex technical challenges on Aura's AI Intelligence Platform, ensuring security and privacy while building infrastructure that serves millions of users.
Responsibilities
- Design, document, and drive the architectural vision for the platform, ensuring scalability, reliability, security, and alignment with business goals
- Own complex, end-to-end 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 so intelligence can be generated without ever crossing a data-safety boundary
- Build the systems that turn that intelligence into personalized insights and actions that keep our customers and their families safe
- Make and defend high-leverage technology choices across the stack, balancing scalability, cost, and operational simplicity
- Establish and champion engineering best practices for security, privacy, observability, testing, and operational excellence that the teams building on the platform adopt
- Serve as a technical mentor, providing guidance on complex design challenges, performance tuning, and system reliability without holding direct reports
Skills
- 10+ 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 as the lead technical voice on large, complex projects, from architecture through production operation
- Expert knowledge of software design best practices, data structures, algorithms, and distributed-systems fundamentals
- In-depth knowledge of cloud technology and the judgment to choose the right tool for the job, from serverless functions vs. containerized services to relational vs. NoSQL databases and the appropriate use of caches, queues, and data-processing pipelines
- Demonstrated experience building systems that handle sensitive or regulated data, with security and privacy treated as first-class design constraints rather than afterthoughts
- Exceptional communication and collaboration skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders and to build alignment across teams
- Demonstrated ability and desire to learn new technologies and to move quickly in a fast-evolving AI landscape
- Bachelor's Degree in Computer Science or a related field, or equivalent work experience
- Experience building AI/LLM-powered systems in production, such as agents, retrieval pipelines, evaluation, or LLM observability
- A strong background in security, privacy engineering, or trust & safety
- Experience with large-scale data platforms and data-intensive systems
- Experience with AWS and Infrastructure as Code
Benefits
- Generous health and wellness benefits
- Retirement savings plans
- Parental leave
- Competitive pay
Company Overview