About Niural

Niural is the AI-native platform that unifies payroll, compliance, HR, and financial operations into a single platform, enabling companies to hire, pay, and manage teams across 150+ countries with speed, accuracy, and intelligence. Backed by Marathon, M13, and Inspired Capital, Niural is redefining the future of work and intelligent finance.

Why Niural?

At Niural, engineering is at the core of delivering complex financial infrastructure in a way that feels intuitive, reliable, and scalable. As a Backend Engineer, you will contribute directly to building backend systems that support payroll, payments, and compliance workflows used globally.

You’ll work on meaningful product surfaces where performance, correctness, and user trust matter. This role offers the opportunity to grow technical depth while contributing to production systems that operate at scale.

About the Role

You’ll design and own backend services end-to-end in a serverless architecture, making informed decisions across DynamoDB and Postgres. You’ll optimize performance and cost, implement event-driven systems, and lead small backend initiatives.

You’ll take accountability for production reliability, mentor junior engineers, and collaborate closely with product and frontend teams to deliver scalable, globally resilient systems.

This role is for engineers who combine technical depth with ownership and leadership.

Responsibilities

• Design, develop, and own end-to-end backend features in a serverless environment.
• Architect scalable and maintainable REST APIs.
• Design and optimize data models in DynamoDB based on access patterns.
• Design relational schemas and optimize queries in Postgres.
• Make informed decisions between NoSQL and relational approaches.
• Implement event-driven components where appropriate.
• Own production deployments, monitoring, and rollback strategies.
• Optimize performance and AWS costs at the service level.
• Lead small backend initiatives or feature pods.
• Participate in incident response and conduct root cause analysis.
• Mentor junior engineers and contribute to technical reviews.
• Proactively identify technical debt and drive improvements.
• Collaborate closely with Product and Frontend teams to shape technical solutions aligned with user needs.

Requirements

• 3+ years of backend development experience.
• Strong proficiency in Python.
• Experience designing scalable APIs in distributed systems.
• Strong hands-on experience with:
• • AWS Lambda and API Gateway
  • DynamoDB (schema design, indexing, performance tuning)
  • Postgres (query optimization, indexing, transactions)
• Experience with event-driven architecture patterns.
• Solid understanding of system scalability, reliability, and cost optimization.
• Experience owning services in production environments.
• Ability to lead small teams or projects.
• Strong sense of ownership and accountability.
• Product mindset with the ability to balance engineering quality and delivery speed.
• Excellent communication and cross-functional collaboration skills.

What We Offer

• Competitive salary package designed to reward your expertise and contributions.
• Access to continuous learning and career advancement programs.
• Opportunities for mentorship and coaching to help you grow in your career.
• Supportive and collaborative work environment where ideas are valued and teamwork is encouraged.
• Complimentary snacks and lunch provided to keep you energized throughout the shift.
• Latest MacBook Pro and a high-performance monitor will be provided to boost your productivity.
• We’ve partnered with select universities in the US to provide “fast track” admissions to star performers who may want to pursue their Masters in CS in the US.
• High performers will be sponsored for L1 visas as well as immigrant visas (Green Card) to the US.

Interview Process

Candidates should send a resume to be considered.

There are 4 steps to the process:

1. Initial Screen – 30 minutes
2. Technical Interview – 60 minutes
3. Practical Programming Interview – 2 hours
4. Behavioral Interview – 30 minutes