TypeScript Engineer (SRE)

Location: Sofia, Bulgaria; hybrid

Company

hirify.global provides a file streaming platform for large-file workflows, enabling cloud access to files with zero-knowledge security and enterprise governance.

What you will do

• Design, develop, and maintain backend services in Node.js and TypeScript for authentication, authorization, storage, filespace provisioning, billing, and related customer services.
• Manage the AWS infrastructure supporting the services and improve platform scalability, fault tolerance, high availability, and disaster recovery.
• Build observability with metrics, logging, distributed tracing, and alerting using tools including CloudWatch, Elastic, Prometheus, InfluxDB, and Grafana.
• Participate in on-call rotations, triage incidents, drive mitigation, investigate root causes, and write postmortems.
• Define and track SLIs, SLOs, and SLAs while reducing operational toil through internal tooling, CI/CD pipelines, and infrastructure as code.
• Collaborate with Web Service Platform, Platform Engineering, and other teams that depend on the central platform.

Requirements

• 3–5+ years of backend software development experience, ideally with TypeScript and Node.js.
• Strong backend architecture skills with experience designing for scale and fault tolerance.
• Deep understanding of Linux and systems fundamentals.
• Experience with SRE practices, observability, incident management, and SLO-driven work.
• Experience operating and monitoring production cloud services using AWS or a similar platform.
• Experience with RDBMS and NoSQL databases, message brokers, and independent cross-team collaboration.

Culture & Benefits

• Values-led environment focused on integrity, innovation, and empathy.
• Opportunity to solve complex problems for large-file and data-intensive workflows.
• Flexible PTO, competitive salary, stock options, and full health coverage.
• Work with a distributed organization spanning North America, Europe, and Australia.

Hiring process

• Initial interview with the People & Culture team.
• Technical interview, take-home task, and follow-up task review.
• Final interview with the VP of Engineering, Engineering Manager, or both.
• The process includes discussion of responsible AI-tool usage and AI fluency.