Staff Backend Software Engineer
- Seattle, WA, United States
$175,000 to $275,000 USD / year
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Job details
- Pay
- $175,000 to $275,000 USD / year
- Posting language
- English
- Posted
Original job description
About the company Our client is an enterprise software company. The role Raydar is recruiting for this role on behalf of our client. Design and build large-scale backend services for an enterprise software platform, taking ownership from architecture through production reliability. The role suits a senior engineer who has personally shipped backend systems and wants to shape how they are designed. What you'll do
- Own the development of core backend services from design through production.
- Plan platform designs that hold up under heavy load, with dependable operation and fast response times.
- Shape architecture and engineering decisions that span several teams.
- Explain technical tradeoffs clearly to colleagues outside engineering.
- Build backend components that support AI-driven automation features.
Requirements
What we're looking for
- Strong grounding in designing networked, multi-service platforms and planning their structure.
- Senior or staff-level backend engineering experience.
- A track record of personally building and shipping backend systems in production, not only leading others who did.
- Experience working with LLMs, AI or machine learning systems, or agentic workflows.
- A history of influencing engineering decisions across teams. Bonus points
- A significant role at a larger technology company followed by startup experience, or early engineering work at a high-growth startup.
- Strong academic background, including a top school in a non-computer-science discipline before moving into engineering.
Benefits
Compensation and benefits
- Base salary: USD 175,000 to 275,000 per year
- Equity
- Relocation support available for strong candidates Location and work model
- Seattle, Washington, United States
- On-site, 5 days a week
- Full-time
More about this job
Skills
- Lead others
- Direct inward dialing
- Machine learning
- Computer science