Atlassian Engineer
Easygo
| Company | Easygo |
| Category | Engineering |
| Location | Melbourne |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 3 Jun 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Are you ready to get the Easygo Edge?
This is your opportunity to build the future of finance at one of Australia's fastest-growing global tech companies. As our Atlassian Engineer, you'll sit at the intersection of Finance and Technology. Leading a high-impact program that turns complex, multi-system financial data into intelligent, automated, AI-powered operations.
What you’ll build with us:
As our Atlassian Engineer, you'll own and lead the design and execution of Easygo's Finance Transformation Program end-to-end. This is a technically demanding role, you'll be architecting data infrastructure, driving automation across Finance, HR, Legal and IT via Jira Service Management, and embedding AI capabilities into core financial processes. You'll be the bridge between our finance and technology teams, turning ambiguity into structure and raw data into reliable, scalable insight.
We know that innovation ignites when we build and create together, in person. This is an initial 12-month Fixed Term Contract opportunity with an expectation to transit to a permanent role at our Melbourne office. You’ll work right where it all happens, surrounded by our fearless crew shipping high-impact work.
Who is Easygo?
We’re a high-growth, high-velocity tech company with millions of eyeballs on us every day. We’re building the future of fearless tech.
We’re the creators behind some of the most popular brands, including Stake, KICK and Easygo Games. While they command a fierce global following, our crew is employed directly by Easygo and that’s where the real fun happens.
We’re always looking for people who are hungry, humble and move fast. People who are ready to Unify , Disrupt and Evolve with us.
With us you’ll grow faster and go further. Your work has impact. And that gives you an edge you can’t get anywhere else.
The Impact you'll make:
Design and oversee the finance operation data architecture, including data schemes covering procurement, payments, staff, and vendor/client info, ensuring consistency, traceability, and alignment across all finance systems
Engineer and maintain API connections between Jira Service Management (JSM) and our core platforms creating a unified, single source of truth across the business
Lead the automation of the finance operation, including ingestion pipelines, data standardisation, reconciliation, and order/budget tracking
Design and implement end-to-end workflows on JSM across Finance, HR, Legal, and IT, ensuring ERP and operational systems remain a single source of truth
Lead the rollout of automated reporting solutions — standardised reporting or dashboards as well as the ad hoc report for commercial decision needs.
Explore, evaluate, and implement AI tools to enhance finance processes, embedding intelligent capabilities such as anomaly detection, classification, and predictive insights with strong governance controls
Drive cross-functional collaboration and team enablement, training finance staff on data, automation, and AI tools while identifying continuous improvement opportunities across the business
Your track record:
3-5+ years of JSM implementation, system/API integration, and enterprise experience
Proven track record delivering cross-functional transformation programs
Good understanding of finance processes, including transaction flows, reconciliation, and reporting within multi-entity and multi-system environments
Proficiency in data architecture, data modelling, and data pipeline concepts within cloud-based data environments
Experience implementing automation solutions, including OCR, workflow tools (JSM is a big plus), and finance process automation frameworks
Strong knowledge of data governance, security, and compliance principles, particularly for financial and sensitive data environments
Excellent stakeholder management and communication skills, with the ability
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