ref. no.
1001169
type
Remote
location
New York, NY
salary
$180000per
status
Permanent
Position: Backend Engineer (Go / Python)
Location: Remote
Salary: Up to $180K + Equity
We are partnered with a fast-growing, product-focused startup operating in the sports data and analytics space, building a next-generation platform that requires strong backend engineers who enjoy working on complex systems from the ground up. This is a fully remote opportunity (U.S. only) offering competitive salary (up to $180K) + equity.
What You’ll Be Working On:
- Building and scaling backend systems that handle real-time data and high-throughput workloads
- Designing and developing APIs and services in Go and Python
- Working on 0–1 projects, taking features from concept through production
- Contributing to system architecture, performance, and scalability decisions
- Collaborating closely with product and engineering teams in a fast-moving environment
What They’re Looking For:
- Strong experience with Go and/or Python in production environments
- Proven experience working on 0–1 systems or early-stage products
- Experience building scalable backend systems, APIs, and distributed services
- Comfortable working in a fast-paced, startup environment with high ownership
- Strong problem-solving skills and ability to operate with autonomy
Nice to Have:
- Experience with real-time systems, data pipelines, or event-driven architecture
- Exposure to cloud environments (AWS or similar)
- Experience working on performance-critical or high-scale applications
Additional Requirements:
- Must be based in the United States
- Must be a U.S. Citizen or Green Card holder
- Unable to provide sponsorship at this time
Why This Opportunity:
- Fully remote (U.S. only)
- Equity included
- High ownership and impact from day one
- Opportunity to build and shape core systems in a growing product
If you’re interested in learning more, please feel free to reach out directly and send over your resume to Ian Ascuasiati at ian.ascuasiati@quantum-qtr.com — happy to connect.
Location: Remote
Salary: Up to $180K + Equity
We are partnered with a fast-growing, product-focused startup operating in the sports data and analytics space, building a next-generation platform that requires strong backend engineers who enjoy working on complex systems from the ground up. This is a fully remote opportunity (U.S. only) offering competitive salary (up to $180K) + equity.
What You’ll Be Working On:
- Building and scaling backend systems that handle real-time data and high-throughput workloads
- Designing and developing APIs and services in Go and Python
- Working on 0–1 projects, taking features from concept through production
- Contributing to system architecture, performance, and scalability decisions
- Collaborating closely with product and engineering teams in a fast-moving environment
What They’re Looking For:
- Strong experience with Go and/or Python in production environments
- Proven experience working on 0–1 systems or early-stage products
- Experience building scalable backend systems, APIs, and distributed services
- Comfortable working in a fast-paced, startup environment with high ownership
- Strong problem-solving skills and ability to operate with autonomy
Nice to Have:
- Experience with real-time systems, data pipelines, or event-driven architecture
- Exposure to cloud environments (AWS or similar)
- Experience working on performance-critical or high-scale applications
Additional Requirements:
- Must be based in the United States
- Must be a U.S. Citizen or Green Card holder
- Unable to provide sponsorship at this time
Why This Opportunity:
- Fully remote (U.S. only)
- Equity included
- High ownership and impact from day one
- Opportunity to build and shape core systems in a growing product
If you’re interested in learning more, please feel free to reach out directly and send over your resume to Ian Ascuasiati at ian.ascuasiati@quantum-qtr.com — happy to connect.
All applications are reviewed by our recruitment team, and hiring decisions are made by people. We may also use AI-enabled tools to support parts of the application review process.