Aura is on a mission to create a safer internet. In a world where our lives are increasingly online, Aura's category-defining suite of intelligent digital safety products help millions of customers protect themselves against digital threats, and that number is growing rapidly. This is an exciting phase at Aura, and our team of over 400 people worldwide is guided by a leadership slate that's successfully grown startups into multi-billion dollar organizations.
Come build with us!
This is a rare opportunity to be a founding technical voice on Aura's AI Intelligence Platform, which unifies all of Aura's data and bridges the gap between AI agents and that data, with security and privacy as its foundational pillars. This platform is how we turn everything Aura knows about digital threats into timely, personalized insights that protect our customers and their families from harm, whether that's surfacing the one alert that actually matters, helping a parent understand a change in their child's online behavior, or spotting a scam before it lands.
As a Principal Software Engineer, you'll take on the platform's hardest technical problems and own them end to end, building the infrastructure that lets AI operate over deeply sensitive information without compromising the security and privacy our customers trust us to hold. You'll work primarily in Python and TypeScript on AWS, on systems that serve millions of Aura customers.
This is a deeply technical, hands-on role. You'll take full ownership of complex initiatives from architecture through production, and set the technical direction a growing team of engineers builds on. We're looking for more than a strong coder: someone who brings order to ambiguous problems, sets a high standard for security and privacy engineering, and influences heavily across teams through technical leadership rather than direct management.
What you'll do: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.
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.
It would be great if you also had (preferred):
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.
Aura is committed to offering a generous package to support our employees in all aspects of their life in and out of work. Our packages offer competitive pay, generous health and wellness benefits, retirement savings plans, parental leave and much more! Pay range for this position is $180,000 - 235,000 but may vary depending on job-related knowledge, skills, experience and location. This position is remote, but candidates but be US-based.
#LI-Remote
Aura is proud to be an equal employment workplace. All qualified applicants will be considered for employment without regard to, and will not be discriminated against based on race, color, ancestry, national origin, religion, age, sex, gender, marital status, sexual orientation, gender identity, disability status, veteran status, or any protected category. Beyond equal employment opportunity, Aura is committed to being an inclusive community where all feel welcome.
Aura is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibility assistance and/or a reasonable accommodation due to a disability, please let your Talent Acquisition Partner know.
Important privacy information for United States based job applicants can be found here.
Similar Jobs
What you need to know about the Chicago Tech Scene
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
