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Job details
We are a high-growth Series A startup with over $20M in funding looking for top-tier Staff Software Engineers in San Francisco, NYC or LA who have strong backend experience to join our engineering team.
This Jobot Job is hosted by Brandon Bays
Are you a fit? Easy Apply now by clicking the “Easy Apply” button and sending us your resume.
Salary $200,000 – $250,000 per year
A Bit About Us
We are a fast growing Series A startup with over $20M in funding building something big with data and AI looking to build out our engineering team with top-tier talent. We are open to candidates who are willing to work hybrid in San Francisco, New York City or Los Angeles (we have offices in all three locations).
This Staff Software Engineer will help scale and optimize our data infrastructure. You will work on enhancing our knowledge graph, improving our data storage, and managing our time series data. You would also be mentoring other engineers and drive tech decisions that directly impact our customers. We source, transform and index terabytes of data, build models to make sense of the data, and build product experience to facilitate users.
Why join us?
• Chance to join a rapidly growing VC backed Series A startup
• Work heavily with data and AI
• Lots of growth opportunities
• Lead and mentor other engineers and make a true impact
Job Details
What you will do in this role
• Scale our systems to handle huge volumes of data
• Work on performance, scalability, and observability
• Collaborate on improving how we store and process time series data
• Use ML tools to generate better insights from our data
What we are looking for
• 7+ years experience in scalable systems
• Proficiency with streaming technologies (Kafka, RabbitMQ, etc.)
• Experience with data storage (SQL, NoSQL, key-value)
• Willingness to work on hybrid work (3 days in office) – flexible between NYC, LA, or SF areas
Bonus Points
• Startup experience
• Team leadership experience
• Python knowledge
Interested in hearing more? Easy Apply now by clicking the “Easy Apply” button.
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