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Senior​/Platform Engineer

Job in New York, New York County, New York, 10261, USA
Listing for: Bonfirevc
Full Time position
Listed on 2026-06-02
Job specializations:
  • Software Development
    Cloud Engineer - Software, Software Engineer, DevOps, Backend Developer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Senior / Staff Platform Engineer
Location: New York

Responsibilities

  • Own our multi-tenant architecture – Design and evolve the centralized codebase that underpins all client embeds
  • Build systems for branding, feature entitlements, limits, and rollout strategies per client
  • Build and standardize core services – Architect and develop microservices for search, pricing, booking, points/loyalty, customer support, and content
  • Define internal APIs and domain models that can support multiple suppliers (flights, hotels, cars, experiences, dining, etc.)
  • Management and scaling of authentication, authorization, and security – Own integration patterns for our OAuth-based authentication pipeline with partners
  • Design tenant-aware auth models to ensure strict isolation of partner data and behavior – Partner with our CTO on security, compliance, and data privacy best practices
  • Architecting configuration and feature delivery – Build feature flag and configuration systems that allow safe, controlled rollout of new capabilities to specific clients or cohorts
  • Design versioning and compatibility strategies so we can update the centralized codebase without breaking existing partners – Enable "configuration, not code" for common-client customizations
  • Own the developer experience & standards – Define and maintain templates and libraries for new services (logging, metrics, error handling, auth, config)
  • Dev Ops on CI/CD observability, and environment strategy so engineers can ship quickly and safely
  • Provide technical leadership and mentorship, review designs, and raise the overall engineering bar
Qualifications
  • Language agnostic backend engineering expert with a strong handle of at least one of the following:
    Python, C#, Java, Go, Node.js
  • Experience designing, implementing, and maintaining distributed systems or microservices in a production environment
  • Deep understanding of multi-tenant or white-label SaaS architectures, configuration-driven systems, and versioning/rollout strategies
  • Hands‑on experience with cloud infrastructure (AWS preferred), including containerized deployments using Docker and Kubernetes
  • Strong fundamentals in API design, service boundaries, domain modeling, and building internal platform abstractions used by multiple product teams
  • Experience working with databases at scale, ideally Mongo

    DB or other No

    SQL document stores, including scheme design, indexing, and performance considerations
  • Comfortable working with (or designing for) microservices or BFF layers that feed frontend UIs
  • Solid understanding of authentication and authorization, especially OAuth2/OIDC, JWTs, tenant isolation, and secure service-to-service communication
  • Familiarity with modern CI/CD tools and workflows (Bitbucket Pipelines or equivalent), including automated testing, linting, and deployment pipelines
  • Ability to drive architectural discussions, write design docs/RFCs, mentor other engineers, and lead cross-team technical initiatives
  • Proven track record of technical leadership at the staff/principal level: mentoring, reviewing, and influencing architecture beyond your own code
Nice‑to‑haves
  • Experience with travel, fintech, loyalty, or other integration‑heavy domains
  • Background working with embedded/partner‑hosted experiences and complex integration contracts
  • Experience with AI‑assisted coding tools such as GPT‑Codex, Cursor, Clause Code, Git Hub Copilot, or similar LLM‑powered development environments
  • Familiarity with prompt engineering and structuring context for effective AI‑driven code generation and refactoring
  • Comfortable using LLM tools to prototype services, draft integrations, analyze logs, generate tests, and accelerate repetitive coding tasks
  • Enthusiasm for vibe coding workflows—using AI as a creative accelerator while maintaining strong engineering judgment and code quality
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Position Requirements
10+ Years work experience
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