Staff Backend Engineer (Node)

Location: Remote

Compensation: starting at $200,000 inclusive of base and bonus; compensation is adjusted based on experience, skills, certifications, and geographic location.

Company

hirify.global develops a product experience serving millions of daily users and tens of thousands of amateur sports organizations.

What you will do

• Architect, build, and evolve backend APIs, services, event-driven workflows, queues, background jobs, data models, caching strategies, and integrations.
• Own complex backend product and technical initiatives from discovery and design through implementation, rollout, production support, and long-term maintenance.
• Lead ambiguous technical work by identifying risks, making practical trade-offs, and guiding execution.
• Improve reliability, scalability, performance, and operability through architecture, testing, database optimization, caching, monitoring, alerting, and incident follow-up.
• Debug production issues across application code, databases, caches, queues, jobs, observability data, and request lifecycles.
• Partner with Product, Design, Engineering, Infrastructure, Platform, Data, Support, and other teams while mentoring engineers and communicating technical trade-offs.

Requirements

• Strong Node expertise and experience building and maintaining production backend systems.
• Staff-level backend engineering depth with a track record of building and operating high-scale APIs, services, distributed systems, or shared product capabilities.
• Strong command of backend technologies such as Node, TypeScript, Elixir, Ruby/Rails, Java, Go, Python, or similar.
• Strong SQL and relational database expertise, including indexing, query optimization, migrations, profiling, data modeling, transactions, and performance tuning.
• Practical understanding of service-oriented and event-driven architecture, queues, background jobs, webhooks, Redis or similar caching tools, and production-scale systems.
• Working knowledge of infrastructure and platform concerns, including deployments, containers, CI/CD, cloud services, networking basics, observability, and operational debugging.

Nice to have

• Experience working in or closely with infrastructure, platform, SRE, DevOps, or data teams.
• Familiarity with Elasticsearch, BigQuery, analytics pipelines, search infrastructure, reporting workflows, or high-volume data processing.
• Experience using AI-assisted engineering workflows responsibly for debugging, testing, documentation, refactoring, prototyping, or developer experience.

Culture & Benefits

• Fully distributed, remote-first engineering team.
• Opportunities to grow and develop professionally.
• Total rewards and competitive compensation.
• Remote-first culture supported by a Culture Playbook.
• Inclusive and diverse work environment.