About the company
Our client is a fast-growing cybersecurity company.
The role
Raydar is recruiting for this role on behalf of our client. Design and build scalable backend systems that process large volumes of data in real time. The role suits an engineer with at least 2 years of experience who can own significant parts of the infrastructure from the start.
What you'll do
- Design and build real-time data processing systems and the services that act on their output.
- Plan backend architecture that can absorb rapid growth in load over the coming months.
- Move machine learning and AI components into production systems.
- Set engineering standards and raise technical quality across the team.
- Work closely with company founders to evolve the core platform.
Requirements
What we're looking for
- At least 2 years of experience in backend or distributed systems engineering.
- A track record of delivering demanding back-end work that handles heavy throughput, including streaming pipelines, data stores and parallel processing, from initial design through launch.
- A background at a startup where you carried wide responsibility for outcomes.
- A working knowledge of how distributed architectures behave and how database capacity is planned.
- Undergraduate computer science degree from a top-20 US university program.
- Self-directed, able to scope, design and ship work without waiting for direction.
Bonus points
- Quant or trading background, or experience at high-growth early-stage startups.
- Proficiency in a performance-oriented programming language.
Benefits
Compensation and benefits
- Salary: $190K - $275K
- Equity
- Health, dental and vision coverage
- Retirement plan
Location and work model
- San Francisco, CA, United States
- On-site, 5 days in-office per week
- Full-time
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