Software Engineer - Analytics Platform (Java/AWS)

Location: Ireland, with flexible work options including hybrid schedules, work-from-home flexibility, and onsite collaboration in the Galway office.

Company

hirify.global provides AI-powered experience orchestration and cloud technology for more than 8,000 organizations worldwide.

What you will do

• Design and ship highly available, fault-tolerant services for analytics ingestion, processing, storage, querying, and delivery.
• Engineer the full data lifecycle, including streaming ingestion, structured and unstructured storage, search, and aggregation.
• Deploy, automate, operate, and troubleshoot large AWS environments with a focus on reliability, performance, and efficiency.
• Partner with engineers, product managers, and data scientists to turn ambiguous concepts into production-ready tools and services.
• Review code, mentor peers, share engineering practices, and help prevent platform issues.
• Investigate production incidents and use AI-assisted workflows to identify root causes while retaining ownership of solutions.

Requirements

• 4+ years of relevant industry experience building and operating scalable, production-grade software systems.
• Strong Java development experience with Spring and Spring Boot for distributed, cloud-native applications.
• Experience with cloud-based services, preferably AWS, including deployment, operation, and troubleshooting.
• Experience designing and operating highly available distributed systems with emphasis on reliability, performance, and automation.
• Experience with data streaming solutions using Apache Kafka.
• Ability to collaborate across engineering, product, and data teams and convert complex requirements into production-ready solutions.

Nice to have

• Experience with Google Cloud Platform or Microsoft Azure.
• Experience with Apache Druid and/or Apache Flink.

Culture & Benefits

• Flexible work options, including hybrid schedules, work-from-home flexibility, and onsite collaboration.
• Continuous learning, mentoring, leadership development, and education support.
• Employer-supported pension scheme, annual bonus, private health insurance, dental coverage, income protection, and life assurance.
• Family-friendly policies, paid volunteer time, well-being resources, and regionally tailored employee programs.
• Engineering practices emphasize infrastructure as code, automation, testing, observability, and thoughtful use of AI tools.

Hiring process

• Application review by Talent Acquisition and the hiring team.
• Zoom interview followed by meetings with the hiring manager and interview team.
• Most processes include no more than five interviews before final steps.