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Interface AI

SDE IV - Backend

Posted Yesterday
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Remote
Hiring Remotely in India
Senior level
Easy Apply
Remote
Hiring Remotely in India
Senior level
Seeking a Software Development Engineer IV for the Core Platform Team to design and scale backend systems, optimize microservices, and ensure system reliability for AI-driven products in a remote-first culture.
The summary above was generated by AI

Banking is being reimagined—and customers expect every interaction to be easy, personal, and instant

We are building a universal banking assistant that millions of U.S. consumers can use to transact across all financial institutions and, over time, autonomously drive their financial goals. Powered by our proprietary BankGPT platform, this assistant is positioned to displace age-old legacy systems within financial institutions and own the end-to-end CX stack, unlocking a $200B opportunity and potentially replacing multiple publicly traded companies

Ultimately, our mission is to drive financial well-being for millions of consumers.

With over two-thirds of Americans living paycheck to paycheck, 50% holding less than $500 in savings, and only 17% financially literate, we aim to put financial well-being on autopilot to help solve this problem.


Role – SDE IV Backend

Location: India (Remote)
Function:
Engineering – Product Engineering
Reports to:
Engineering Manager – Product Engineering

About the Role

We are looking for a Software Development Engineer IV to join our Core Platform Team. This team is responsible for designing and scaling the foundational systems that power all our AI-driven products—from secure authentication and configuration engines to core services like logging, feature management, and real-time orchestration.

You’ll work alongside experienced engineers to build modular, high-performance backend systems that are critical to uptime, compliance, and scalability across the company. This is a hands-on role ideal for engineers looking to grow their impact while working on production infrastructure used by every product team.

 What You’ll Do

  • Architect, develop, and optimize scalable microservices and RESTful/GraphQL APIs for Interface’s conversational AI platform, ensuring high availability, low latency, and seamless integration with products and partner ecosystems.
  • Implement and maintain complex workflows using event-driven architectures, leveraging technologies like Kafka, RabbitMQ, or AWS SNS/SQS, to support real-time conversational AI interactions and data processing.
  • Design and manage robust data models and database schemas using SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, DynamoDB) databases, optimizing for performance, scalability, and data consistency.
  • Conduct thorough code reviews, providing constructive feedback on code quality, adherence to coding standards, and alignment with architectural best practices, while mentoring junior developers.
  • Collaborate with cross-functional teams, including frontend developers, product managers, QA engineers, and conversational designers, to define technical requirements, resolve bottlenecks, and deliver end-to-end features on cloud platforms (e.g., AWS, GCP, Azure).
  • Ensure system reliability by implementing monitoring, logging, and alerting solutions using tools like Prometheus, Grafana, or ELK Stack, and proactively address performance issues through profiling and optimization.
  • Drive adoption of CI/CD pipelines, containerization (e.g., Docker, Kubernetes), and infrastructure-as-code (e.g., Terraform, CloudFormation) to streamline deployments and maintain production-grade systems.                                                                                                                                          

What You’ll Bring

  • Technical Mastery: 7-10 years of experience in building and delivering complex, scalable technical products. You have deep expertise in at least one of the languages mentioned below, and are well-versed in both NoSQL and relational databases.
  • Scalable Systems Design: Extensive experience with distributed systems, low-latency applications, and microservices. You know how to build systems that perform under pressure and scale seamlessly.
  • Real-Time Experience: Proven track record with real-time interactions, leveraging technologies such as web sockets, long-polling, and server-sent events to create responsive, real-time applications.
  • Security & Data Protection: Hands-on experience implementing security and data protection measures. You understand the importance of safeguarding sensitive information in fintech applications.
  • Problem-Solving Mindset: You approach challenges with creativity and tenacity, always looking for effective, innovative solutions. Your proactive attitude helps you identify and resolve issues before they become problems.
  • Best Practices Advocate: Strong advocate for Test-Driven Development (TDD) and unit testing. You believe in writing clean, maintainable code and setting a high standard for the team.
  • Proficiency in advanced prompt engineering, including designing, optimizing, and integrating LLM prompts into complex workflows and production systems.

Proficiency in one or more of the following languages is required:

  • Go
  • Java
  • JavaScript/TypeScript/Node.js
  • Python                                                                                                                                                      

Why Join Us?

  • Remote-first culture – Work from anywhere, with top-tier colleagues.
  • High ownership, high impact – Your work will define the future of banking.
  • Comprehensive Benefits – We take care of our people.

#LI-SS1
 
#LI-Remote
 
 

At interface.ai, we are committed to providing an inclusive and welcoming environment for all employees and applicants. We celebrate diversity and believe it is critical to our success as a company. We do not  discriminate on the basis of race, color, religion, national origin, age, sex, gender identity, gender expression, sexual orientation, marital status, veteran status, disability status, or any other legally protected status. All employment decisions at Interface.ai are based on business needs, job requirements, and individual qualifications. We strive to create a culture that values and respects each person's unique perspective and contributions. We encourage all qualified individuals to apply for employment opportunities with Interface.ai and are committed to ensuring that our hiring process is inclusive and accessible.

Top Skills

Aws Sns
Aws Sqs
CloudFormation
Docker
DynamoDB
Elk Stack
Go
Grafana
Java
JavaScript
Kafka
Kubernetes
MongoDB
MySQL
Node.js
Postgres
Prometheus
Python
RabbitMQ
Terraform
Typescript

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