About the company
Our client is a software company.
The role
Raydar is recruiting for this role on behalf of our client. Lead the delivery of a security-hardened deployment of an existing software platform inside a restricted public-sector cloud. The work is mostly backend engineering with some frontend, and involves close collaboration with machine learning and platform colleagues.
What you'll do
- Re-create an existing application stack in a locked-down government cloud, prioritizing security, stability and reliability.
- Design and implement data separation so each user can only view information appropriate to their authorization level.
- Keep backend services dependable and expand infrastructure capacity as more users join.
- Work alongside a machine learning engineer to migrate retrieval-based AI pipelines, benchmark models and bring down running costs.
- Stay aligned with the wider platform engineers so new capabilities reach the government deployment.
- Split your time roughly 70% backend and 30% frontend.
Requirements
What we're looking for
- 5+ years of professional software engineering experience.
- At least 1 year of hands-on work with systems hosted in a highly regulated defense or federal cloud environment.
- Strong skills in React and Python, with a backend-leaning focus.
- At least 1 year in a startup setting; a mix of large technology company and startup experience is fine.
- Practical experience with AI services on a major cloud provider.
- Background in machine learning, retrieval pipelines and large language models, ideally at significant organizational scale.
- Bachelor's degree in computer science or a related STEM field.
- Comfort leading client conversations and explaining technical ideas plainly to non-technical audiences.
- Ability to work on-site five days a week.
Bonus points
- Familiarity with federal security and compliance frameworks and the authorization process for government systems.
Benefits
Compensation and benefits
- Base salary: USD 180,000 to 250,000 per year
- Equity
Location and work model
- Los Altos, CA, United States
- On-site, 5 days per week in office
- Occasional travel to Washington, D.C.
- Full-time