Senior/Staff Backend Engineer
Salary: $200,000 - $350,000 per year
Location: ,
Posted: December 12 2025
Minimum Degree:
Relocation Assistance: Not Available
Senior/Staff Backend Engineer
Remote (U.S.-based; Eastern Time Zone preferred)
Why this role matters
Join a fast-growing, product-focused company as a senior contributor helping to build the infrastructure behind large-scale, high-performance data systems. You’ll work on complex backend platforms that process billions of rows of data, surface meaningful insights, and power decision-making for customers.
This is a high-impact, high-ownership role where you'll contribute to architecture, implementation, and strategy on a modern backend stack with lots of room to innovate.
What you'll do
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Design and deliver scalable backend services that process and model large datasets efficiently and reliably
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Build extensible internal platforms and tooling (e.g. APIs, data services, internal developer tools)
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Own full systems end-to-end, from concept to architecture to deployment
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Lead key technical initiatives, improving performance, accuracy, and cost-efficiency
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Occasionally contribute to frontend layers to ship full product features
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Work cross-functionally with product, sales, and customer teams to understand needs and deliver technical solutions
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Apply statistical thinking and experimentation to platform decisions (experience with ML or modeling is a plus)
Sample projects
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Optimization engines that act on real-time and historical performance signals
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Data pipelines and deployment infrastructure for statistical and ML models
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Scalable systems for querying and enriching data graphs across billions of rows
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Integration of multiple data sources into unified, production-grade models
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AI-driven internal tooling that simplifies workflows and delivers actionable insights
Tech stack and environment
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Languages: Python, TypeScript/Node.js, Go, React (language choice is flexible based on experience)
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Cloud: AWS (extensive usage; prior experience helpful but not required)
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Databases: ClickHouse, PostgreSQL, Redis, DynamoDB
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Architecture: Data pipelines, event-driven systems, internal platforms and developer tooling
What we’re looking for
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5+ years of professional experience writing production backend code
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Hands-on experience with pipelines, ETL/ELT, event-based systems, and schema design
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Proven ability to build internal tools and services that are extended by other teams
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Experience with system design for scale, performance, reliability, and cost optimization
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Clear and thoughtful communication skills in both async and real-time settings
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Self-directed and comfortable with ambiguity; thrives on autonomy and ownership
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Bonus: exposure to statistical modeling, ML pipelines, or AWS services
Why this team
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Your work will directly shape how customers interpret and act on high-volume data
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You’ll be part of a lean team with strong ownership and a bias for action
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You’ll contribute to modern, outcome-driven engineering with measurable impact
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You’ll have the space to prototype, test, and scale ideas into full systems