Software Engineer, Product Infrastructure

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Work mode

Hybrid From the posting source checked Jun 20, 2026

In-office days

2 days From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

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Company

Company stage

Early From the posting source checked Jun 20, 2026

Equity

Offered From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Software Engineer, Product Infrastructure San Francisco, CA (Hybrid) To help avoid bots and fake submissions we require email authentication after you submit your application About Scanner At Scanner, we're committed to building the best tools in the world (in Rust!) for teams to search and query through enormous piles of data. Whether you're debugging a distributed system, or monitoring a sprawling backend deployment for security risks, so many problems that modern engineering teams face are ultimately about sifting through giant haystacks in search of small but valuable needles. Scanner provides a magical user experience with ⚡ fast queries, allowing teams to manage massive data sets with far more ease than they can with existing tools. What We Built We believe Data Lakes are the future of security data. Scanner is the world's fastest full-text search and detection platform for Security Data Lakes. Security teams can now search years and petabytes of logs in seconds (up to 700x faster than alternatives), eliminate SIEM coverage blind spots at 70-80% lower cost, and deploy in a day, all while maintaining full custody of their data in their own S3 buckets. We believe security tools should scale with your data, not your budget. Teams shouldn't have to choose between comprehensive coverage and financial sustainability. The Team We're an early-stage team where every person has outsized impact on what we build and how we serve customers. People join Scanner because they want to: - Solve genuinely hard technical problems - Making petabyte-scale search feel instant

Read the full description at job-boards.greenhouse.io. FewerJobs shows a preview and links to the original posting.