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Raydar

Software Engineer

Posted 18 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
260K-290K Annually
Entry level
In-Office
San Francisco, CA, USA
260K-290K Annually
Entry level
Build and own full-stack projects from concept through launch, including backend services, web interfaces, APIs, simulation environments, internal tools, and infrastructure. Collaborate with research, product, design, and external technical stakeholders. Write maintainable code, participate in reviews and design discussions, and improve system scalability, reliability, and data evaluation workflows.
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About the company

Our client is a fast-growing technology company.

The role

Raydar is recruiting for this role on behalf of our client. Own projects from concept to launch as a full-stack engineer, building backend services, web interfaces and internal tooling in a fast-moving environment. The work spans prototyping, deployment and reliability improvements, with regular collaboration across functions and with external technical stakeholders.

What you'll do

- Design and build scalable systems, including APIs, simulation environments and internal platforms that involve human review.

- Partner with research, product and design colleagues to deliver features quickly.

- Produce readable, well-structured code and keep supporting technical notes up to date.

- Take part in code reviews and design discussions.

- Tackle real-world scalability and reliability problems.

- Contribute to core infrastructure supporting data and evaluation workflows.


Requirements

What we're looking for

- Full-stack capability with React, Node.js or Python, and container orchestration with Kubernetes.

- Track record of building something end to end with a strong sense of ownership.

- Experience at a high-growth startup, a respected trading firm, or as a founding engineer at a well-resourced startup.

- For candidates with a big tech background only, a computer science degree from a leading program.

- A degree from a highly ranked university in the US, Canada or Europe.

- Comfort working directly with external researchers as a client-facing technical partner.

- Willingness to work on-site five days a week, with flexible hours.

Bonus points

- Experience with Kafka, Redis or Elasticsearch.

- Background at a company in the human data or AI data space.

- For early-career candidates, multiple internships at top-tier technology companies.


Benefits

Compensation and benefits

- Base salary: USD 260,000 to 290,000 per year

- Equity

Location and work model

- San Francisco, CA, United States

- On-site, 5 days a week

- Full-time

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