To apply for a role at Dexibit,
email your resume to email@example.com
Capacity Full time
Location New Zealand (preferably Dexibit’s Auckland office, open to domestic remote)
Reports to Chief Technology Officer
Who we are
Do you love dinosaurs and data? We are Dexibit, and we do! We serve the visitor attractions industry, on a mission to democratize data and unlock the precious insights buried deep within. Our world leading Kiwi SaaS product empowers museums to zoos to theme parks to make data driven decisions. We work with big names globally alongside your favorites here at home, like MOTAT. We’re a diverse, empowered team who have collected a fair few awards in our time from HiTech, NZIBA, TIN and more!
What we do
Dexibit predicts and analyzes visitor behavior to drive engagement and bring more people through the doors. Our product includes forecasts, insights and dashboards equipped with machine learning, natural language processing and more. It’s a great time for the industry, which is experiencing a boom post pandemic!
Why you should care
While early in our journey, we’ve proven we know our industry. We serve predominantly larger venues through an enterprise sales business model. Our international focus and niche offering has huge potential upside. As a small product team that means we have some big challenges ahead of us, but paired with exciting opportunities for career growth.
The start up environment is fast-paced. We’re always learning, discovering and adjusting course. We take a super collaborative approach to getting stuff done. This means you will be exposed to the complete gamut of product development and will have the opportunity to get involved in all aspects of the process, from ideation to delivery.
We are on a path to modernize and scale our data layer, to meet emerging demands from our customers. We need you to help us on this journey!
Our tech stack is built around Quarkus services written in Kotlin, with a Kafka event driven architecture and Postgres and Snowflake as datastores. We expose rich REST APIs for our React UI to consume, in order to deliver beautiful data visualizations for our customers. To support this, we have developed a custom query language and compiler. This is deployed in the cloud using a heterogeneous mix of lambda functions, long lived containers, and much more.
The long and short of it is: if you want to go deep with impactful software and data engineering, you’ll find your happy place.
Bullet points and buzz words
We are looking for multiple engineers. We are happy to meet you where you are at. We’re particularly interested in junior / intermediate level engineers (1 – 2 years of experience) and staff / principal / lead level (10+ years of experience).
- Your background might be software leaning or it might be data leaning, we don’t mind, but you’ll certainly have an interest in both fields
- You’ll be a proficient coder, ideally with a Java / Kotlin / Python background –
SQL and domain modeling doesn’t phase you and, in fact, you worry a lot about data structures and their relationships
- You keep your infrastructure safely committed in git and automate as much as possible
- You’re comfortable building services and can wax lyrical about different architectural patterns and interservice communication techniques, you might have heard of dbt, Kafka, Airflow, Spark, Databricks, Ansible, Datadog, Typescript, React, etc…
- But most importantly: you’re not a jerk – you’re collaborative, empathetic, authentic and hold a growth mindset