Senior Software Engineer (Backend)

TL;DR

Senior Software Engineer (Backend): Design, develop, and operate high-throughput backend services in Java on AWS with an accent on distributed systems reliability, observability, and security-by-design. Focus on end-to-end ownership from discovery to GA, incident response, and building scalable APIs/events/streams that serve millions of interactions daily.

Location: Onsite in the Galway office 2–3 days per week (Ireland)

Company

hirify.global builds AI-powered experience orchestration technology for enterprise customer and employee experiences.

What you will do

• Own well-defined backend services/components end-to-end: design, build, test, deploy, operate, and participate in on-call and post-GA care
• Deliver features from discovery to GA with clear technical documentation and contributions to design reviews
• Build for scale and stability by implementing observability, SLOs, runbooks, and back-pressure/limits; support incident response and post-mortems
• Collaborate across teams including Agentic AI specialists, Product, Security, SRE, and Frontend to deliver hirify.global Cloud platform features
• Mentor and improve engineering quality through clean, well-tested code, PR reviews, API/event design standards, automated testing, and knowledge sharing
• Make pragmatic trade-offs across latency, reliability, security, and cost using data-driven design

Requirements

• Bachelor’s degree in computer science (or equivalent experience)
• 4+ years building backend or platform software with evidence of strong ownership
• Strong Java experience
• Experience designing and operating services on AWS infrastructure
• Understanding of distributed systems concepts (eventual consistency, fault tolerance, idempotency, circuit breakers)
• Experience with RESTful API design, gRPC, or event-driven messaging patterns (Kafka, SQS, RabbitMQ)

Nice to have

• Analytics/data tooling experience (e.g., Apache Spark, Pandas)
• Batch data processing and data quality tooling (Spark/Flink/EMR/Glue)
• LLM systems concepts (tool use/orchestration, retrieval, evals) and cost/latency trade-offs
• Observability at scale (metrics, traces, logs, SLOs, error budgets)
• Security, privacy, and governance of enterprise software

Culture & Benefits

• Flexible work options
• Career development with continuous learning, mentoring, and clear advancement paths
• Competitive pension scheme
• Annual bonus program
• Comprehensive health coverage including private health insurance and dental plan
• Family-friendly paid maternity and paternity leave

Hiring process

• Application review by Talent Acquisition and the hiring team
• Zoom interview with a Talent Acquisition Partner, then interviews with the hiring manager and interview team
• Up to five interviews in most cases, followed by final steps after interviews