{"description": " Job Description
This role is focused on building and iterating on high-impact solutions that improve how we develop, operate, and optimize our platform. The Software Engineer will contribute to the design and implementation of new systems and capabilities, working closely with senior engineers to move ideas from concept to production. This role requires strong engineering fundamentals, curiosity around emerging technologies, and the ability to operate effectively in fast-moving, ambiguous problem spaces while delivering reliable, production-quality solutions.

Responsibilities:

• Independently delivers features, enhancements, and bug fixes across team-owned services, ensuring high standards for correctness, reliability, and maintainability
• Designs and implements well-structured, testable code that aligns with system architecture and engineering standards
• Contributes to system design discussions and makes sound technical decisions within the scope of their team
• Builds and maintains automated tests that validate system behavior and prevent regressions across services
• Integrates code and tests into CI/CD pipelines, ensuring reliable and repeatable deployment workflows
• Actively contributes to improving code quality through thoughtful code reviews and adherence to best practices
• Debugs and resolves issues across services using logs, metrics, and tracing tools, identifying root causes and contributing to long-term fixes
• Contributes to system observability by implementing meaningful logging, metrics, and monitoring signals
• Identifies opportunities to improve system reliability, performance, and maintainability within team-owned systems
• Collaborates closely with software engineers, product managers, and product designers to translate requirements into reliable technical solutions
• Develops a strong understanding of system architecture, service interactions, and data flows within their domain
• Ensures implementations align with product requirements, user workflows, and expected system behavior
• Leverages AI-assisted development tools to improve productivity, accelerate debugging, and enhance testing workflows while validating outputs for correctness
• Follows and contributes to established SDLC practices, including version control, testing strategies, and deployment processes
• Continuously improves technical skills, system understanding, and engineering judgment through experience and feedback

What Success Looks Like:

• Consistently delivers high-quality, production-ready software with minimal rework or defects
• Systems and features owned operate reliably and meet expectations for performance, scalability, and correctness
• Demonstrates strong ownership by independently driving work from implementation through delivery and validation
• Identifies and resolves issues effectively, contributing to both short-term fixes and long-term improvements
• Contributes to improving system quality through testing, observability, and thoughtful design decisions
• Actively participates in code reviews and improves overall team engineering standards
• Collaborates effectively with engineers, product managers, and product designers to deliver solutions aligned with product goals and customer needs
• Demonstrates clear understanding of how technical work impacts customer experience and business outcomes
• Uses AI and modern engineering practices effectively to improve productivity and quality
• Shows continued growth toward system-level thinking and readiness for increased ownership

Requirements

Required:

• 2-5 years of software engineering experience, with demonstrated ability to deliver production-quality software
• Proficiency in at least one programming language and ability to work across the team's technology stack
• Strong understanding of core computer science fundamentals, including data structures, algorithms, and system design basics
• Solid understanding of modern software development practices, including testing, code reviews, and building maintainable and reliable systems
• Experience building APIs and backend services, including working with RESTful interfaces
• Understanding of web application architecture and how services interact within a distributed system
• Experience with version control systems (e.g., Git) and working within Agile development environments
• Working knowledge of SQL and relational data models, including writing queries and understanding basic data access patterns
• Ability to debug issues within team-owned systems using logs, metrics, and basic observability tools
• Demonstrated ability to deliver features independently with minimal guidance
• Strong problem-solving skills and ability to evaluate straightforward technical trade-offs
• Effective communication and collaboration skills across engineering, product managers, and product designers
• Experience using AI-assisted development tools to improve productivity, debugging, and testing workflows
• Exposure to building scalable, maintainable, and observable systems
• The primary technology stack for the Innovation Studio team includes: Node.js/NestJS, AWS, Kubernetes, and modern CI/CD and observability tooling, along with AI platforms such as OpenAI, Anthropic, and Gemini. Candidates should have solid proficiency in backend and cloud-native development fundamentals, with the ability to contribute effectively within distributed systems environments and learn new technologies quickly.

Preferred:

• Experience in fintech, payments, lending, or other regulated financial systems
• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience

Benefits

• 5 Days Working
• One Complimentary Meal per Day
• Internet Reimbursement
• Gym Reimbursement
• Group Medical Insurance
• Mental Health support benefits
• Relocation Assistance (if Applicable)

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