Senior Software Engineer (JVM)

TL;DR

Senior Software Engineer (JVM, Kotlin): Designing and building backend services for a highly scalable marketing platform with an accent on API design and data-driven solutions. Focus on translating business requirements into robust technical solutions and collaborating in a hybrid setup.

Location: Hybrid · Sydney, Australia

Company

hirify.global is a leading independent boutique technology firm with a global footprint across London, Poland, Sydney, San Francisco, and New Zealand.

What you will do

• Design and build backend services for a highly scalable marketing platform.
• Own the design of APIs, applications, and supporting infrastructure.
• Document technical designs and requirements clearly for both internal teams and clients.
• Deliver solutions end-to-end: build, automate, deploy, operate, and support.
• Partner with clients and delivery teams to translate business requirements into robust technical solutions.
• Work within an Agile, iterative delivery model.

Requirements

• Strong foundation in JVM-based development (Kotlin preferred, Java welcome).
• Experience designing and implementing data-driven APIs.
• Background working on large-scale web services.
• Solid SQL experience, including schema design and performance-aware queries.
• Deep experience with automated testing (unit, integration; TDD/BDD preferred).
• Experience with React, TypeScript, Redux, and Tailwind (or similar modern frameworks).

Nice to have

• Exposure to Scala or functional programming concepts.
• Experience with asynchronous and highly concurrent backend frameworks (e.g. Ktor, http4k, Play, RxJava).
• NoSQL experience (DynamoDB, Cassandra, BigTable, Cosmos DB, etc.).
• Strong Git workflow experience and the ability to adapt workflows to project needs.
• A genuine appetite for learning and adopting new technologies quickly.

Culture & Benefits

• The team operates with a high degree of autonomy and shared ownership.
• Engineers work across the full stack, support one another’s growth, and collaborate closely with data scientists and adjacent teams to design cross-system solutions.
• Strong engineering culture, real influence, and meaningful problems to solve.