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Tech DNA
AWS
Azure
GCP
AI/ML
AWS
Azure
Docker
GCP
Stack modernity
74/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
GCP
1 job
Required
Azure
1 job
Required
AWS
1 job
Required
Docker
1 job
Required
Salary medians are calculated from this company's open jobs and compared with the market.
Stack changes
GCP
Sep 2026
Docker
Sep 2026
Azure
Sep 2026
AWS
Sep 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.
Growth
Hiring Momentum
28/100
Slowing
Open positions
4
0 opened / 0 closed in 30 days
ATS activity
Every ~1 hours
Today
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Backend
50% ▲
AI/ML
25% ▲
Operations
25% ▲
Offices
Where the company hires and what each office is for
Cities
1
Hiring now
1
Countries
1
Busiest office
San Francisco
San Francisco
United States
Engineering / R&D
3 open roles 3 posted in 90 days 67% engineering
hires for AI/ML, Backend, Operations
Jobs
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≈ $147k – $298k per year (Estimated) • In office • Full-Time • San Francisco
Apply
≈ $178k – $368k per year (Estimated) • In office • Full-Time • San Francisco
GCP
Azure
AWS
Docker
Apply

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