Posting record
First seen today
- Raydar's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age.
Last checked Nov 4, 2026.
How well do you match?
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Upload your resumeWhat it asks of you
- 2–6 years of experience
What the posting discloses
- Pay
- $180k to $250k a year USD
Base salary: $180K - $250K per year (quoted from the posting)
Not stated: Real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Skills mentioned
About the role
About the company
Our client is a technology company.
The role
Raydar is recruiting for this role on behalf of our client. A senior engineer who owns large customer deployments from initial evaluation through rollout and expansion, working directly with the client's technical teams. The role involves debugging complex software live in restricted, self-hosted environments and balancing field work with contributions to the core product.
What you'll do
- Lead one or two large, multi-month customer deployments from initial evaluation through rollout and expansion.
- Troubleshoot a Python backend and React frontend live with customer engineers across Linux, containers, networking and file systems.
- Run training sessions, track issues and document them, then close the loop once fixes ship.
- Contribute to core product work between customer escalations and pass field learnings to the product roadmap.
- Travel occasionally to customer sites.
Requirements
What we're looking for
- 2 to 6 years of experience in a technical role.
- A history of driving customer-facing technical projects independently from kickoff to delivery, in roles such as forward deployed engineer or early employee at a startup.
- Experience owning several technical engagements at the same time.
- Deep Linux and Unix systems skills, including hands-on container setup, container networking and network file systems.
- Strong Python skills and the ability to learn a large codebase quickly.
- Experience at a leading AI, defense or hardware startup.
- An engineering bachelor's degree from a highly ranked school.
Bonus points
- Familiarity with hardware design and verification tools and methods.
- Experience with EDA tools and CAD flows.
- Background building early-stage products or working in machine learning would be a plus.
Benefits
Compensation and benefits
- Base salary: $180K - $250K per year
- 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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