Staff Backend Engineer - Submission Processing
New
Based in United StatesFull-TimeStaff
SalaryCompetitive salary range of $230,000 – $290,000 USD, depending on experience, location, and interview performance.
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Job Details
- Experience
- 8+ years
- Required Skills
- AWSPostgreSQLPythonDistributed Systems
Requirements
- 8+ years of software engineering experience, with a proven ability to design and deliver complex systems.
- Strong expertise in backend engineering, system design, debugging, and large-scale application development.
- Experience working with LLMs in production environments and understanding of deploying AI systems at scale.
- Strong programming skills in Python or another object-oriented programming language.
- Experience with cloud platforms such as AWS, including services like Lambda and EC2.
- Familiarity with asynchronous processing workflows, distributed systems, and cloud-based architectures.
- Experience working with relational databases, ideally PostgreSQL.
- Ability to take full ownership of projects, communicate proactively, and operate effectively with minimal supervision.
- Strong problem-solving mindset with a willingness to experiment, learn quickly, and tackle unresolved challenges.
Responsibilities
- Design, architect, and implement scalable backend systems that support AI-driven workflows and large-scale data processing.
- Own major technical decisions, establish architectural direction, and drive engineering initiatives with significant autonomy.
- Build and optimize LLM-based systems capable of processing billions of unstructured data points and extracting actionable insights.
- Develop reliable services using modern cloud technologies, asynchronous workflows, and serverless architectures.
- Solve complex engineering challenges involving system design, performance optimization, debugging, and scalability.
- Partner with teammates to experiment, iterate, and improve solutions through rapid testing and data-driven decision-making.
- Drive projects from concept to completion while maintaining high standards for code quality, reliability, and maintainability.
- Contribute to engineering culture through knowledge sharing, technical mentorship, and continuous improvement.
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