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Job Description
**This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Backend Engineer - Submission Processing based in United States.**
This role offers the opportunity to build advanced backend systems at the intersection of artificial intelligence and enterprise software.
You will design and scale solutions that process massive volumes of complex, unstructured data to support critical business decisions.
As a senior technical contributor, you will have significant ownership over architecture, engineering direction, and end-to-end delivery.
You will work on challenging problems involving LLM-powered systems, cloud infrastructure, and large-scale data processing.
The position is ideal for an engineer who thrives in ambiguity, enjoys solving difficult technical challenges, and values measurable customer impact.
You will collaborate with a talented global team while helping shape the future of AI-driven decision-making in a major industry.
### Accountabilities:
As a Staff Backend Engineer, you will take ownership of designing, building, and scaling highly impactful backend systems while contributing to technical strategy and engineering excellence. You will work closely with cross-functional teams to solve complex problems, improve system reliability, and deliver AI-powered solutions that create real-world value.
- 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.
**Requirements:**
The ideal candidate is an experienced backend engineer with strong technical fundamentals, a passion for solving difficult problems, and the ability to operate independently in a fast-moving environment. You should combine deep engineering expertise with curiosity, ownership, and a strong focus on delivering meaningful outcomes.
- 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.
- Bonus: experience building document processing pipelines or systems handling large volumes of data.
**Benefits:**
- Competitive salary range of $230,000 – $290,000 USD, depending on experience, location, and interview performance.
- Significant equity options package.
- Hybrid work environment based in New York, with opportunities for collaboration across a global team.
- 20 days of paid time off annually.
- Global team offsites and regional team gatherings.
- Fully covered PPO medical insurance, along with fully covered vision and dental coverage for employees and families.
- Healthy living and gym stipend.
- Mobile phone bill stipend.
- Continuing education credits and professional development support.
- 401(k) plan with employer contribution regardless of employee contribution.
**How Jobgether works:**
We use an **AI-powered matching process** to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
[Why Apply Through Jobgether?](https://jobgether.com/how-jobgether-works)
**Data Privacy Notice:** By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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Key Responsibilities
Design, architect, and implement scalable backend systems for AI-driven workflows and large-scale data processing.
Own major technical decisions and establish architectural direction with significant autonomy.
Build and optimize LLM-based systems to process billions of unstructured data points.
Develop reliable services using modern cloud technologies, asynchronous workflows, and serverless architectures.
Solve complex engineering challenges involving system design, performance optimization, and scalability.
Partner with teammates to experiment, iterate, and improve solutions through rapid testing.
Drive projects from concept to completion while maintaining high standards for code quality and reliability.
Contribute to engineering culture through knowledge sharing, technical mentorship, and continuous improvement.
Skills Required
PythonAWSLambdaEC2PostgreSQLLLMsDistributed systemsAsynchronous processingSystem designProblem solvingOwnershipCommunicationAutonomyCuriosityDocument processing pipelinesLarge volume data handling
Benefits
Competitive salary
Equity options
Hybrid work environment
20 days paid time off
Global team offsites
PPO medical insurance
Vision and dental coverage
Healthy living and gym stipend
Mobile phone bill stipend
Continuing education credits
Professional development support
401(k) plan with employer contribution
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