Staff Backend Engineer

Job Description

Staff Backend Engineer (API & Distributed Systems) \n

Location:

New York City (4 days onsite per week) \n

Pay:

$250,000 Base + Equity \n

No Sponsorship Offered \n

\n About the Opportunity \n A high-growth technology company is seeking a Staff Backend Engineer to lead the architecture and development of a business-critical external platform powering partner integrations, booking workflows, inventory management, and transactional systems. \n This is a senior individual contributor position for an engineer with deep technical expertise who wants to own large-scale architectural decisions while remaining hands-on with development. The role combines API strategy, distributed systems design, data modeling, and technical leadership across multiple engineering teams. \n

\n Responsibilities \n \n

Lead the architecture, design, and development of externally facing APIs and platform services. \n

Drive technical strategy and establish engineering standards for partner integrations and transactional workflows. \n

Design highly reliable systems supporting reservations, inventory, pricing, booking, and order management processes. \n

Make foundational data modeling and domain architecture decisions across multiple products. \n

Partner with senior engineering leadership on long-term platform scalability and reliability initiatives. \n

Mentor engineers and influence technical direction without direct people management responsibilities. \n

Improve observability, performance, resilience, and operational excellence across distributed systems. \n \n

\n Must Have Qualifications \n \n

8+ years of professional software engineering experience. \n

Prior experience operating at Senior Staff, Staff Engineer, Lead Engineer, or equivalent level. \n

Expertise designing and shipping correctness-critical transactional systems involving bookings, payments, reservations, inventory, orders, or commerce platforms. \n

Strong experience designing external APIs, service integrations, and distributed systems. \n

Deep understanding of relational databases, domain modeling, and large-scale system architecture. \n

Experience with cloud-native environments, preferably AWS. \n

Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. \n \n