Design and implement high-performance Golang microservices for e-commerce checkout, account management, and fraud mitigation.
Take ownership of components and features within backend systems, ensuring reliability, scalability, and maintainability.
Build, test, monitor, and maintain critical integrations and infrastructure.
Develop and support robust internal and external APIs with high throughput and low latency requirements.
Collaborate closely with Product, Design, and Data teams to deliver technical solutions aligned with user and business goals.
Participate in code reviews, share knowledge with teammates, and uphold engineering best practices.
Drive projects from implementation to production deployment with a focus on quality and operational readiness.
Contribute to ongoing improvements in system performance, observability, and CI/CD workflows.
Explore and help implement AI-powered capabilities within our systems and workflows, including agentic tools and intelligent automation.
Support a collaborative, inclusive engineering culture through thoughtful communication and continuous improvement.

Requirements

Education: Bachelor’s degree in Computer Science, Engineering, or a related field.
Experience: 5+ years in software engineering.
Backend Development: Proficiency in building reliable backend systems using Golang (or Python, Ruby, Java, C++, C#, Rust, Scala, etc.).
System Design: Experience developing distributed systems with a focus on performance, reliability, and maintainability.
AI Fluency: Familiarity with using AI tools (e.g., Cursor, Claude, ChatGPT) or contributing to AI-powered systems is a plus.
Working Familiarity with: OIDC Authentication (Google, Apple SSO), E-Commerce Fraud Prevention, Payment Service Provider Integrations (Stripe)
API Development: Capable of designing and maintaining well-structured internal and external APIs.
Cloud Infrastructure: Familiarity with AWS, Google Cloud, or Azure and infrastructure-as-code practices.
Event-Driven Systems: Experience working with messaging systems like Kafka, RabbitMQ, or similar.
Databases: Solid experience with relational databases (e.g. PostgreSQL, MySQL) and NoSQL technologies (e.g. MongoDB, DynamoDB).
Team Collaboration: Works effectively with cross-functional partners to deliver reliable solutions and shares knowledge through code reviews and discussions.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

GolangPythonRubyJavaC++C#RustScalaAPI DevelopmentSystem Design

collaborationcommunicationcontinuous improvementownershipknowledge sharingproblem-solvingteamworkadaptabilityleadershipattention to detail

Bachelor’s degree in Computer ScienceBachelor’s degree in Engineering