Senior Software Engineer developing APIs and integration modules for Mastercard's Open Finance. Collaborating with teams to ensure reliable connectivity with thousands of financial institutions.
About the role
- Senior Backend Engineer designing and scaling backend systems for Revi's innovative restaurant ordering platform. Collaborating across teams to improve AI-driven customer experiences and operational efficiency.
Responsibilities
- Design and build scalable backend services and APIs in Python and Go that power our restaurant ordering platform
- Own technical areas by providing technical leadership for cross-functional teams and driving architecture decisions
- Build and deploy ML infrastructure including inference services, model fine-tuning pipelines, and evaluation frameworks
- Develop and maintain RESTful APIs and SDKs used by restaurants and internal teams
- Drive large cross-functional projects independently from planning to launch to ongoing maintenance with high autonomy
- Optimize database queries, caching strategies, and system architecture for performance at scale
- Collaborate on product design and UX to ensure technical feasibility and optimal user experience
- Establish operational excellence through monitoring, alerting, documentation, and incident response
- Ship product features with complete ownership from initial design through production deployment and iteration
- Collaborate with engineers to design elegant architectures and pragmatic solutions to complex problems
- Mentor junior engineers and contribute to team knowledge-sharing through code reviews, tech talks, and documentation
Requirements
- 8+ years of experience building and shipping production software systems at scale
- Strong track record of writing scalable, performant, and maintainable backend code - we care more about engineering fundamentals than specific frameworks
- Hands-on experience with Python and/or Go in production environments, including designing and building RESTful APIs
- Practical AI/ML experience - familiarity with LLMs, ML model deployment, inference optimization, or GenAI applications
- Deep understanding of database design, query optimization, and distributed systems principles
- Experience with cloud platforms (AWS, GCP, or Azure) and modern DevOps practices
- Passion for shipping customer-centric products and iterating based on real-world usage
- Strong communication skills and ability to collaborate effectively with cross-functional teams
- Comfortable with ambiguity and rapid iteration in a fast-paced startup environment
Benefits
- Equity package
- Competitive salary, 15% target bonus
- Professional development
- Excellent and comprehensive health plans (Medical, dental, vision, etc)
- Flexible Vacation Policy, Paid holidays
- Organized volunteer events to give back to our community
- Off-sites, events and happy hours
- 401k
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